{"meta":{"query_hash":"7655912d92a8","filters":{"topic":"Infrared Thermography in Medicine"},"cohort_total":465,"direct_labels_cover":2,"predictions_cover":465,"exported":465,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/7655912d92a8","api":"https://metacan.xera.ac/api/v1/cohort?topic=Infrared+Thermography+in+Medicine"},"results":[{"id":"W1009927450","doi":"","title":"Perimetry Instrument Comparison Study: Between Test Variability of Four Threshold Perimetry Tests in Healthy and ‘Glaucomatous’ Eyes (Interim Analysis)","year":2010,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Optometry; Interim; Ophthalmology; Medicine; Glaucoma; Geography","score_opus":0.058260848715365035,"score_gpt":0.40019351410898174,"score_spread":0.3419326653936167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1009927450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975136,0.000057894318,0.00000355546,0.00036282983,0.00021448357,0.0010332196,0.000017706503,0.000042024207,0.0007547159],"genre_scores_gemma":[0.99742645,0.0000013255653,0.002278618,0.00013860801,0.00008047117,0.000040118077,0.00000890743,0.00001949697,0.00000597615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959805,0.00033064105,0.0010737552,0.0010637924,0.0008732665,0.00067802035],"domain_scores_gemma":[0.9968215,0.0010093293,0.00046553335,0.0007237011,0.00036954667,0.00061036705],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0041324827,0.00038390854,0.0013898539,0.0014356193,0.00023982947,0.000030970612,0.0005469297,0.00022620526,0.00012562658],"category_scores_gemma":[0.0034324278,0.00032208924,0.00011680294,0.0050186836,0.008798586,0.00024218214,0.00038584616,0.0011561826,0.000003901657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008568021,0.0009841673,0.69959736,0.000046301782,0.000113047856,0.000065633634,0.0018904858,8.957878e-7,0.29700914,0.000044858938,0.0000013621557,0.00016107371],"study_design_scores_gemma":[0.0013262536,0.0062639965,0.9422776,0.000069668924,0.00029895865,0.00013007065,0.0019109743,0.0006929359,0.04597101,0.0008290698,0.0000011529543,0.0002283177],"about_ca_topic_score_codex":0.0008617889,"about_ca_topic_score_gemma":0.000056636265,"teacher_disagreement_score":0.2510381,"about_ca_system_score_codex":0.0001340814,"about_ca_system_score_gemma":0.00059234665,"threshold_uncertainty_score":0.9999231},"labels":[],"label_agreement":null},{"id":"W1135349557","doi":"","title":"Metrics to Quantify the Global Quality of Confocal Scanning Laser Ophthalmoscopic Images of the Aging Eye","year":2007,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Confocal laser scanning microscopy; Confocal; Laser scanning; Optometry; Laser; Computer science; Ophthalmology; Artificial intelligence; Computer vision; Optics; Medicine; Biomedical engineering; Physics","score_opus":0.06384343204702125,"score_gpt":0.4292097088852983,"score_spread":0.36536627683827705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1135349557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911473,0.00018720988,0.000059591108,0.0016414693,0.00057252706,0.0006524549,0.000022355227,0.00002141357,0.0056957104],"genre_scores_gemma":[0.9970019,0.0000012073109,0.0019661596,0.0008488999,0.00008525762,0.000010044139,0.0000015919967,0.000012513342,0.00007241686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961673,0.00037794947,0.0008696837,0.0005299163,0.0013677024,0.0006874291],"domain_scores_gemma":[0.99663574,0.00084898557,0.0005724289,0.0006892407,0.0008864332,0.00036719439],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0064297146,0.00026043842,0.00060552644,0.00032587987,0.0003554449,0.000016171778,0.001025462,0.00013059117,0.0000591959],"category_scores_gemma":[0.0068430887,0.00015185036,0.00016014795,0.006370746,0.013043894,0.0001462612,0.00044435984,0.00045962652,0.000006261454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006265355,0.000075241616,0.58490586,0.000041555373,0.00003348289,0.00004265061,0.000869513,0.000011246329,0.41307068,0.00064829993,0.000015405276,0.00022344165],"study_design_scores_gemma":[0.00030828887,0.00044041395,0.5733098,0.000165824,0.000036134614,0.00013081385,0.0011431583,0.000020398853,0.42326882,0.0010866617,0.0000055514306,0.000084142004],"about_ca_topic_score_codex":0.00058707275,"about_ca_topic_score_gemma":0.0000037477444,"teacher_disagreement_score":0.01268845,"about_ca_system_score_codex":0.00018169514,"about_ca_system_score_gemma":0.0006598076,"threshold_uncertainty_score":0.989642},"labels":[],"label_agreement":null},{"id":"W1148067562","doi":"","title":"Thermal Imaging of the Ocular Surface and Adnexa","year":2008,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ophthalmology; Optometry; Surface (topology); Medicine; Materials science; Optics; Physics; Geometry; Mathematics","score_opus":0.03214105449258932,"score_gpt":0.3209911313653169,"score_spread":0.28885007687272757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1148067562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994007,0.0003989511,0.0000010617171,0.0010367731,0.00018966632,0.00031127132,0.0000026690145,0.000021733631,0.004030906],"genre_scores_gemma":[0.9982672,0.0000066565076,0.0009191354,0.00063643535,0.00004499225,0.000004923679,7.7402285e-7,0.000012078526,0.00010781858],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99827045,0.00014536513,0.00026176652,0.00038698688,0.000557625,0.00037781353],"domain_scores_gemma":[0.99888396,0.0001239099,0.00016422391,0.00033830886,0.00026466133,0.00022493726],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00071419147,0.00016846704,0.0002990344,0.00011532561,0.00038904525,0.000005620218,0.00032996893,0.000058650054,0.00007639002],"category_scores_gemma":[0.0006683965,0.000107204876,0.00006619343,0.0011369474,0.01998805,0.00016506523,0.00021264334,0.0003057009,0.000005006375],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013843134,0.000029833793,0.42903733,0.000009302429,0.0000102953845,0.00013511465,0.0012368101,0.000006501702,0.56939584,0.00006449519,0.00001478711,0.000045861452],"study_design_scores_gemma":[0.00036661874,0.00021227915,0.627679,0.00007752608,0.000023507962,0.0016873342,0.00023283088,0.00030567803,0.368821,0.0005089729,0.000008389841,0.00007687959],"about_ca_topic_score_codex":0.00008154255,"about_ca_topic_score_gemma":1.4380326e-7,"teacher_disagreement_score":0.20057483,"about_ca_system_score_codex":0.000039018574,"about_ca_system_score_gemma":0.00045647132,"threshold_uncertainty_score":0.982679},"labels":[],"label_agreement":null},{"id":"W1195535759","doi":"","title":"Cross-Correlating Between Grading Scales of Redness - Is It Possible?","year":2007,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Grading (engineering); Grading scale; Medicine; Biology; Surgery; Ecology","score_opus":0.06513586068990442,"score_gpt":0.41143908655846056,"score_spread":0.34630322586855616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1195535759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834379,0.00013537072,0.000037332808,0.00044760178,0.00040379804,0.0003790636,0.000011833831,0.0000509646,0.015096133],"genre_scores_gemma":[0.99511707,0.0000028746927,0.0037580566,0.0005504986,0.00025266086,0.000007813483,0.000008609737,0.00002661676,0.00027582247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99636775,0.00008978982,0.0008743787,0.00074211153,0.0010195961,0.0009063735],"domain_scores_gemma":[0.99711937,0.00066468737,0.00049494737,0.000428885,0.0006983012,0.00059378485],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0037698895,0.00030801058,0.00065372203,0.00078098796,0.00047738777,0.00002906256,0.00054530124,0.00024800445,0.00021735085],"category_scores_gemma":[0.0022088762,0.0002637948,0.00013659087,0.003178217,0.01579064,0.00041532947,0.00020845233,0.0006193472,0.000028507227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037309102,0.00004490444,0.5873056,0.000032944637,0.000030017824,0.00013127227,0.0025650228,0.0000013451194,0.40910107,0.00013439335,0.00002097036,0.00059514475],"study_design_scores_gemma":[0.0004931836,0.00069161016,0.5622461,0.00024205225,0.000041697826,0.00030046448,0.0008839566,0.00006356911,0.43212166,0.00275867,0.000006390949,0.00015063603],"about_ca_topic_score_codex":0.000112894915,"about_ca_topic_score_gemma":6.427759e-7,"teacher_disagreement_score":0.025059495,"about_ca_system_score_codex":0.00015734423,"about_ca_system_score_gemma":0.000415282,"threshold_uncertainty_score":0.9999814},"labels":[],"label_agreement":null},{"id":"W1247781833","doi":"","title":"Improvement Of Confocal Scanning Laser ophthalmoscope Images Using Polarimetry","year":2002,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Scanning laser polarimetry; Confocal; Polarimetry; Confocal laser scanning microscopy; Laser scanning; Optics; Ophthalmology; Materials science; Optometry; Laser; Medicine; Optical coherence tomography; Physics; Biomedical engineering","score_opus":0.0523527420179905,"score_gpt":0.35554991863151514,"score_spread":0.30319717661352463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1247781833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98879296,0.000357749,0.000015608994,0.00026389956,0.00039193506,0.0005088985,0.000014322773,0.000045253473,0.009609404],"genre_scores_gemma":[0.99104965,0.0000040508958,0.007999384,0.00051056006,0.00013332676,0.000008078553,0.0000041305007,0.000030445153,0.00026037468],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99680704,0.00010879086,0.0006329536,0.0007166798,0.00094334694,0.00079118134],"domain_scores_gemma":[0.99789155,0.00015634597,0.00037611002,0.00046138346,0.00057557755,0.00053900806],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010895453,0.00033682832,0.0006412634,0.000661896,0.00032624038,0.000025167077,0.00045460818,0.00017127368,0.0010948098],"category_scores_gemma":[0.0010239241,0.0002879451,0.00012390227,0.0022105135,0.010616701,0.00037496415,0.00025020956,0.0005121112,0.000030987812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041583604,0.0002287276,0.094388194,0.000052815227,0.00005968896,0.0004463481,0.00063161587,0.000009770828,0.9035267,0.00004594576,0.000047798992,0.00052076584],"study_design_scores_gemma":[0.0010171373,0.002554191,0.085769005,0.00029484683,0.00009865018,0.0015893977,0.00051198865,0.0016752727,0.9056643,0.0005642178,0.0000098420805,0.0002511261],"about_ca_topic_score_codex":0.00023146917,"about_ca_topic_score_gemma":9.268143e-8,"teacher_disagreement_score":0.010290461,"about_ca_system_score_codex":0.0001868903,"about_ca_system_score_gemma":0.0003448141,"threshold_uncertainty_score":0.99995726},"labels":[],"label_agreement":null},{"id":"W1411766804","doi":"","title":"HARTMANN–SHACK MEASUREMENTS OF IMAGE QUALITY IN THE RAT EYE","year":2004,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer vision; Image quality; Computer science; Quality (philosophy); Artificial intelligence; Optometry; Image (mathematics); Medicine; Physics","score_opus":0.09490316869998608,"score_gpt":0.41202448914534706,"score_spread":0.317121320445361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1411766804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891804,0.00008909887,0.0000044945955,0.0023814498,0.00022376626,0.0006384822,0.0000039381366,0.00002123763,0.007457159],"genre_scores_gemma":[0.99635607,0.0000017114672,0.0021812688,0.0013086669,0.00005999272,0.000042045896,0.0000055336027,0.000011372963,0.000033321132],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99668217,0.0004134918,0.0005961894,0.0005231233,0.0012370072,0.0005480351],"domain_scores_gemma":[0.9983883,0.00016064644,0.00027208118,0.00050106767,0.00046621266,0.00021173105],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0046479073,0.00022557146,0.00046091128,0.00035349684,0.00018475983,0.000016892447,0.0006603562,0.00010429667,0.00010358681],"category_scores_gemma":[0.002473059,0.00015038514,0.000092913135,0.0022622892,0.010578015,0.00028546466,0.0001081329,0.00045656264,0.000034821413],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006458465,0.0002771372,0.1795102,0.00003484406,0.000015046879,0.00017959357,0.0036017706,0.0000063781317,0.8159217,0.00032012275,0.000018930994,0.000049659116],"study_design_scores_gemma":[0.0011658713,0.00074366055,0.528372,0.00014968583,0.000021263331,0.00014945153,0.0008060837,0.000004965836,0.4613509,0.0071290205,0.0000036543718,0.00010348515],"about_ca_topic_score_codex":0.00027387784,"about_ca_topic_score_gemma":0.0000051550323,"teacher_disagreement_score":0.35457084,"about_ca_system_score_codex":0.00016723262,"about_ca_system_score_gemma":0.0006706545,"threshold_uncertainty_score":0.9921146},"labels":[],"label_agreement":null},{"id":"W1430368964","doi":"","title":"Hartmann-Shack Measurements Of The Monochromatic Image Quality In The Chick Eye During Emmetropization","year":2002,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Monochromatic color; Optics; Image quality; Physics; Quality (philosophy); Ophthalmology; Image (mathematics); Medicine; Computer science; Computer vision","score_opus":0.08907486945883067,"score_gpt":0.3714527244715683,"score_spread":0.2823778550127376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1430368964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99292815,0.00009355102,0.0000022526203,0.0019008124,0.00017075906,0.0007225103,0.000003024356,0.00001802551,0.0041609174],"genre_scores_gemma":[0.9987447,0.000002831726,0.0005551992,0.0005176838,0.000051452782,0.000040673414,0.000001814713,0.000011506678,0.000074130425],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9966943,0.00070695643,0.00058208825,0.00041612142,0.0011602411,0.00044024416],"domain_scores_gemma":[0.9984986,0.00015025523,0.0003598866,0.0005719402,0.00029986777,0.000119409044],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022210102,0.00019991044,0.00035607902,0.00027318508,0.000318877,0.000020735191,0.00071263546,0.000082831626,0.00020177112],"category_scores_gemma":[0.0025336172,0.00011579926,0.000091137525,0.0027480496,0.0059112413,0.0002587477,0.00013306306,0.00040008096,0.00002202584],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012647136,0.00015356558,0.3629443,0.000054693824,0.00001380637,0.000023376853,0.0035089408,0.0000050982107,0.6332008,0.000039100338,0.000015667532,0.0000279971],"study_design_scores_gemma":[0.00061181793,0.00022677002,0.74299484,0.00018435594,0.000025456635,0.00010125881,0.0005270424,0.000282866,0.25413248,0.00082911726,6.705375e-7,0.00008332708],"about_ca_topic_score_codex":0.0000913452,"about_ca_topic_score_gemma":0.0000030889655,"teacher_disagreement_score":0.38005054,"about_ca_system_score_codex":0.0001376881,"about_ca_system_score_gemma":0.00010852686,"threshold_uncertainty_score":0.9967941},"labels":[],"label_agreement":null},{"id":"W1482124406","doi":"10.1109/iembs.2006.260077","title":"Segmentation and Landmark Identification in Infrared Images of the Human Body","year":2006,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Segmentation; Landmark; Artificial intelligence; Computer vision; Computer science; Identification (biology); Image segmentation; Scale-space segmentation; Pattern recognition (psychology); Segmentation-based object categorization; Image processing; Image registration; Image (mathematics)","score_opus":0.005507220464592943,"score_gpt":0.26122416053002284,"score_spread":0.2557169400654299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482124406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98014385,0.00010044081,0.00009267275,0.00039821962,0.0000440241,0.0002970856,0.0000027799003,0.000015877662,0.018905047],"genre_scores_gemma":[0.997436,0.000008971387,0.0002618762,0.00009014456,0.000054587796,0.000010913048,0.00002915516,0.000005758848,0.0021026041],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994172,0.000030689713,0.00024085665,0.000089253954,0.00015162029,0.000070391645],"domain_scores_gemma":[0.9996724,0.00002249406,0.000078000594,0.0001687369,0.00004490148,0.000013457926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019430784,0.000053074087,0.00010335156,0.000113674716,0.000029533086,0.000005324497,0.00003929086,0.00003293958,0.0000700396],"category_scores_gemma":[0.00002539834,0.000034105164,0.000024050465,0.00020891205,0.0000944571,0.000048240734,0.000013324425,0.00006668524,9.852996e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012083621,0.000035438858,0.46074888,0.000040567425,0.000006577838,0.0000013205471,0.00013947637,9.3455475e-7,0.5365835,0.0007954468,0.0011183032,0.0005174991],"study_design_scores_gemma":[0.0009485853,0.000029338747,0.8599032,0.000052922067,0.000025030451,0.000005351859,0.00019832863,0.000016087324,0.13675655,0.0019734197,0.00006212897,0.000029048375],"about_ca_topic_score_codex":0.00024378671,"about_ca_topic_score_gemma":0.000025695512,"teacher_disagreement_score":0.3998269,"about_ca_system_score_codex":0.000015619327,"about_ca_system_score_gemma":0.000009819646,"threshold_uncertainty_score":0.13907681},"labels":[],"label_agreement":null},{"id":"W1484362193","doi":"10.1002/jmri.24656","title":"Spinal cord response to stepwise and block presentation of thermal stimuli: A functional MRI study","year":2014,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Brainstem; Spinal cord; Functional magnetic resonance imaging; Sensory system; Magnetic resonance imaging; Neuroscience; Cord; Dorsum; Medicine; Anatomy; Psychology; Radiology; Surgery","score_opus":0.015379761989422177,"score_gpt":0.30164688260724504,"score_spread":0.28626712061782283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484362193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99171394,0.0041942005,0.00072138675,0.0023645149,0.00025467607,0.0004517198,0.0000019937388,0.000009624351,0.00028792073],"genre_scores_gemma":[0.994992,0.000031577656,0.0039424836,0.00043564494,0.00036773496,0.000006816918,3.9096426e-7,0.000021164711,0.00020217347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99783576,0.00028482094,0.0006830035,0.0001839431,0.0007973908,0.00021508298],"domain_scores_gemma":[0.9984109,0.00026993075,0.00034313457,0.0002424928,0.00053789705,0.00019564437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017375348,0.00015741187,0.00041633355,0.00043982067,0.00005466615,0.000019166728,0.000118606295,0.000029028457,0.00009280915],"category_scores_gemma":[0.00076386775,0.00012549033,0.000085902364,0.0003154869,0.00014847312,0.000117567026,0.000045616332,0.00029560694,0.0000025350816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.06486983,0.0006278482,0.44024098,0.00009886949,0.000057194273,0.00031635977,0.0018825888,0.0001332133,0.13123208,0.00001564906,0.0019188767,0.35860652],"study_design_scores_gemma":[0.0059764776,0.012632859,0.97428685,0.000516809,0.00019110124,0.00069327734,0.0011717691,0.0007101146,0.0005536664,0.000046564488,0.0031164319,0.000104094135],"about_ca_topic_score_codex":0.0000119442775,"about_ca_topic_score_gemma":8.0586517e-7,"teacher_disagreement_score":0.5340459,"about_ca_system_score_codex":0.000035250407,"about_ca_system_score_gemma":0.00010484788,"threshold_uncertainty_score":0.5117347},"labels":[],"label_agreement":null},{"id":"W1485460326","doi":"10.1109/iembs.1997.757710","title":"The contribution of currently available high resolution infra-red imaging to the detection of stage I and II breast cancer","year":2002,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Mary's Hospital Centre","funders":"","keywords":"Mammography; Breast cancer; Modality (human–computer interaction); Medicine; Medical physics; Stage (stratigraphy); Digital mammography; Breast imaging; Cancer detection; Radiology; Cancer; Computer science; Artificial intelligence; Internal medicine","score_opus":0.009001237924805257,"score_gpt":0.24034846363501478,"score_spread":0.23134722571020952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485460326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673222,0.008196502,0.0030708527,0.01601496,0.00066572847,0.0012872295,0.00008835492,0.00007132467,0.0032828655],"genre_scores_gemma":[0.9977168,0.0007394005,0.000047872138,0.00023652415,0.000127919,0.00003219261,0.0000048180623,0.00000927663,0.001085205],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989887,0.00005993255,0.00030940637,0.00014096375,0.00029714944,0.00020383358],"domain_scores_gemma":[0.99905056,0.00008106734,0.00015249163,0.00029107084,0.00036386502,0.00006095214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049290207,0.00010053222,0.0001899405,0.00010245246,0.00022933117,0.0000068954523,0.00007550737,0.00003909952,0.0005132401],"category_scores_gemma":[0.00013138105,0.000054157565,0.00004512233,0.00039342,0.00018609899,0.0000684686,0.00004529158,0.00015112932,0.000004444773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001808387,0.00034333006,0.08331793,0.00020519883,0.00036887266,0.000005024303,0.0023715922,0.000104107545,0.64657605,0.0031347114,0.0352023,0.22656251],"study_design_scores_gemma":[0.010426141,0.0015561486,0.6269877,0.0012427487,0.00077979284,0.00016430822,0.0019576633,0.029988639,0.20921637,0.00036187496,0.116863124,0.00045546328],"about_ca_topic_score_codex":0.00093296403,"about_ca_topic_score_gemma":0.0001411629,"teacher_disagreement_score":0.5436698,"about_ca_system_score_codex":0.00006119394,"about_ca_system_score_gemma":0.000019392566,"threshold_uncertainty_score":0.56196195},"labels":[],"label_agreement":null},{"id":"W1490598834","doi":"","title":"Measuring conditions of cold provocation tests: A review of the literature","year":2011,"lang":"en","type":"review","venue":"Canadian acoustics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Provocation test; Sensitivity (control systems); Medicine; Blood pressure; Cardiology; Internal medicine; Pathology; Engineering","score_opus":0.05377868148361612,"score_gpt":0.30166896995908277,"score_spread":0.24789028847546665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490598834","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000041728267,0.99171454,0.0000072161665,0.00008196565,0.0003565725,0.0022066953,0.0010286117,0.000012298015,0.004587914],"genre_scores_gemma":[0.00017518604,0.9978168,0.00021345961,0.0006961214,0.00019139527,0.00009790716,0.00030145244,0.000053202664,0.00045447217],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9983968,0.000105163635,0.00078231824,0.00019397451,0.00027567658,0.00024608156],"domain_scores_gemma":[0.9972511,0.00009971274,0.0006448976,0.00093582494,0.00078813883,0.0002803168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034511866,0.00027491894,0.0013791663,0.00042852218,0.000054828757,0.000004246632,0.00032665278,0.00032707732,0.00012116047],"category_scores_gemma":[0.0012921168,0.00018078859,0.00043894557,0.0012666283,0.00024155647,0.00002369014,0.000020682506,0.00063667033,0.000005874007],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025762301,0.000054304215,0.00002935868,0.89461404,0.0004579187,0.00004258658,0.00026131628,1.5584543e-7,0.00008948872,0.0020132915,0.028177012,0.074257955],"study_design_scores_gemma":[0.000090904636,0.000044818727,0.00018287249,0.5098583,0.0035100954,0.000113373346,0.000010634113,3.8097807e-7,0.000004312056,0.000024984281,0.48605168,0.00010761261],"about_ca_topic_score_codex":0.00066518417,"about_ca_topic_score_gemma":0.0002128911,"teacher_disagreement_score":0.45787466,"about_ca_system_score_codex":0.00027823917,"about_ca_system_score_gemma":0.0036952447,"threshold_uncertainty_score":0.7372345},"labels":[],"label_agreement":null},{"id":"W1527062767","doi":"10.32920/ryerson.14639265","title":"Correlation of Steady State and Transient Temperature Profiles in Perfused Fixed Kidneys: Implications for Thermal Models","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Bioheat transfer; Work (physics); Transient (computer programming); Thermal conductivity; Thermodynamics; Advection; Mechanics; Heat transfer; Blood flow; Materials science; Flow (mathematics); Heat equation; Steady state (chemistry); Mathematics; Physics; Chemistry; Computer science; Mathematical analysis; Cardiology; Medicine","score_opus":0.023390120926596366,"score_gpt":0.27984541199542057,"score_spread":0.2564552910688242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527062767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786138,0.001071862,0.012122492,0.0022766911,0.00018733962,0.0035195923,0.0003814059,0.0000446941,0.0017821032],"genre_scores_gemma":[0.98674864,0.00025227485,0.0102665005,0.0003003822,0.00006634022,0.00053640635,0.0013713321,0.000045115616,0.0004129993],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983663,0.000077003366,0.00063203456,0.0004783694,0.0002130243,0.00023325646],"domain_scores_gemma":[0.998575,0.00013169905,0.00019236574,0.0005293142,0.0004476493,0.00012397356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033504292,0.00027770508,0.0006725494,0.0003241106,0.000039412793,0.00001880342,0.000102883954,0.00037421635,0.000077119876],"category_scores_gemma":[0.00008307341,0.00022615025,0.00016037138,0.00021948505,0.000118653916,0.0000721628,0.000060189905,0.0006246502,2.2982216e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024058798,0.0018386986,0.05041281,0.01023888,0.0013159498,0.000022526569,0.05751071,0.03368821,0.81760836,0.00676571,0.003271262,0.014921011],"study_design_scores_gemma":[0.020903537,0.0015192461,0.78326,0.008869276,0.0016785114,0.00007971899,0.009830175,0.12328776,0.03958902,0.009369339,0.00012767052,0.0014857539],"about_ca_topic_score_codex":0.00007564479,"about_ca_topic_score_gemma":0.000021827884,"teacher_disagreement_score":0.7780193,"about_ca_system_score_codex":0.000056474302,"about_ca_system_score_gemma":0.00045036495,"threshold_uncertainty_score":0.922214},"labels":[],"label_agreement":null},{"id":"W163642741","doi":"10.1161/circ.118.suppl_18.s_924-a","title":"Abstract 4648: Mechanism of Tissue Cooling With Cryoenergy Delivery to Pulmonary Veins: Tissue Temperature Distribution and Chonic Esophageal Effects","year":2008,"lang":"en","type":"article","venue":"Circulation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas College","funders":"","keywords":"Cryoablation; Medicine; Pulmonary vein; Balloon; Ablation; Nuclear medicine; Cryotherapy; Surgery; Internal medicine","score_opus":0.006422465243540959,"score_gpt":0.22615468813656692,"score_spread":0.21973222289302596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W163642741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99480605,0.001022663,0.0030269288,0.000091433845,0.00014014768,0.00066376664,0.000017323757,0.00006900576,0.00016267123],"genre_scores_gemma":[0.99858016,0.0000788824,0.00045389237,0.00014629496,0.00026175057,0.000027473863,0.0003967287,0.000030018133,0.000024828036],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988399,0.000033845037,0.00026053982,0.00028881984,0.0003606428,0.00021621688],"domain_scores_gemma":[0.9992115,0.00006422746,0.00011286319,0.0002584051,0.00019865466,0.00015438008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001346596,0.00018715583,0.0003254463,0.00016025788,0.0001283509,0.000007167173,0.000051189178,0.00017417365,0.000025784264],"category_scores_gemma":[0.00006965402,0.00016250247,0.00003380376,0.00038707498,0.00008362029,0.00012410384,0.000016677332,0.00020110927,0.000005781106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046802597,0.00020092975,0.010495092,0.0005187183,0.00009435863,0.0007244837,0.0006147766,0.00064080505,0.97789884,0.00083870173,0.00007954368,0.0074257096],"study_design_scores_gemma":[0.0011688881,0.00057145685,0.8362366,0.00057576824,0.00012355049,0.0006726232,0.000042739637,0.00033859984,0.15985031,0.00013693202,0.00011002395,0.0001725278],"about_ca_topic_score_codex":0.000062048435,"about_ca_topic_score_gemma":0.000002514247,"teacher_disagreement_score":0.82574147,"about_ca_system_score_codex":0.00007831255,"about_ca_system_score_gemma":0.000065059074,"threshold_uncertainty_score":0.66266584},"labels":[],"label_agreement":null},{"id":"W1744747947","doi":"10.1111/j.1532-950x.2012.00966.x","title":"Skin Temperature during Cutaneous Wound Healing in an Equine Model of Cutaneous Fibroproliferative Disorder: Kinetics and Anatomic‐Site Differences","year":2012,"lang":"en","type":"article","venue":"Veterinary Surgery","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"American College of Surgeons","keywords":"Medicine; Forelimb; Bandage; Wound healing; Horse; Surgery; Skin temperature; Anatomy; Dermatology","score_opus":0.02650990757620502,"score_gpt":0.27198332019309684,"score_spread":0.24547341261689182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1744747947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969528,0.0021409972,0.00001903291,0.00011685883,0.00020956495,0.00037342322,0.000059777594,0.000062283034,0.000065284716],"genre_scores_gemma":[0.99812394,0.0005539577,0.0007726471,0.00012602498,0.00023175066,0.000020358355,0.00006641504,0.000053721615,0.000051154842],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979976,0.0001340677,0.0006031753,0.00034544754,0.0003343253,0.000585431],"domain_scores_gemma":[0.99882334,0.00026563625,0.00016663189,0.00038645123,0.0000861655,0.00027178935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019038345,0.0003394954,0.0008247808,0.00054768496,0.000086541746,0.00001975154,0.00008451938,0.00021277992,0.000040389183],"category_scores_gemma":[0.000086982334,0.00029194247,0.0001065259,0.00037027028,0.00024746775,0.00023020635,0.0000823085,0.00040409618,0.0000012053154],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016576604,0.00045711492,0.45168465,0.0006989235,0.00006658347,0.00079238217,0.0041686227,0.00019789113,0.5390037,0.000015713138,0.000014664928,0.0012420925],"study_design_scores_gemma":[0.006541639,0.014290979,0.8193809,0.006442392,0.00055845425,0.04985379,0.0059094257,0.04303854,0.050009865,0.00058714335,0.00019740002,0.0031894722],"about_ca_topic_score_codex":0.000053084063,"about_ca_topic_score_gemma":0.000010812739,"teacher_disagreement_score":0.48899382,"about_ca_system_score_codex":0.000056873483,"about_ca_system_score_gemma":0.000051710078,"threshold_uncertainty_score":0.99995327},"labels":[],"label_agreement":null},{"id":"W1748535404","doi":"10.1186/2050-5736-3-s1-p1","title":"An instrumented bone/soft tissue phantom designed to mimic HIFU treatments of bone","year":2015,"lang":"en","type":"article","venue":"Journal of Therapeutic Ultrasound","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research","funders":"Focused Ultrasound Foundation","keywords":"Medicine; Imaging phantom; Soft tissue; Biomedical engineering; Radiology; Medical physics; Nuclear medicine","score_opus":0.030228738090138527,"score_gpt":0.3276991112793458,"score_spread":0.29747037318920727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1748535404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99223655,0.0029956189,0.0025212932,0.0006919227,0.00058376,0.0005302986,0.000014536717,0.000031289255,0.00039471182],"genre_scores_gemma":[0.9894699,0.00017242199,0.008333923,0.0013072473,0.00039270695,0.000005697661,0.000012807591,0.00005790885,0.00024743017],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99715495,0.00018966556,0.0010684091,0.00021712336,0.0009793852,0.0003904533],"domain_scores_gemma":[0.99724376,0.0001966256,0.00071884523,0.0005065716,0.00064719,0.0006870025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010111541,0.00030980236,0.00096311356,0.00067085575,0.000048632082,0.000023771276,0.00025521245,0.0001498587,0.00021536052],"category_scores_gemma":[0.0002156151,0.0002295801,0.00021797633,0.0005687442,0.00015978099,0.00022582598,0.000013924836,0.00030260478,0.000019966643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034626818,0.0012458223,0.015919717,0.000046501427,0.0011385805,0.00021805865,0.0045820647,0.000026070551,0.9463651,0.00002850176,0.0005866458,0.026380247],"study_design_scores_gemma":[0.04789586,0.057031218,0.10019279,0.0019996746,0.006242017,0.01895832,0.008524463,0.00007022653,0.73454213,0.004076244,0.01933457,0.0011324581],"about_ca_topic_score_codex":0.000042779746,"about_ca_topic_score_gemma":0.000003441067,"teacher_disagreement_score":0.21182294,"about_ca_system_score_codex":0.00027328022,"about_ca_system_score_gemma":0.00031045705,"threshold_uncertainty_score":0.93620044},"labels":[],"label_agreement":null},{"id":"W1764379913","doi":"10.1117/1.jbo.17.12.129901","title":"Biomedical Imaging: Principles and Applications","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Medical imaging; Engineering ethics; Data science; Field (mathematics); Artificial intelligence; Engineering","score_opus":0.017547927150140127,"score_gpt":0.2951211117365199,"score_spread":0.27757318458637975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1764379913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7799953,0.028606737,0.13419068,0.04120062,0.0035388712,0.0012826028,0.000045657864,0.00017011442,0.010969416],"genre_scores_gemma":[0.94390535,0.0009986985,0.04763624,0.001683142,0.0055946205,0.0000093458875,0.000019214312,0.00003674417,0.00011666423],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978488,0.000036108082,0.0007501453,0.00010521958,0.0008798273,0.00037989067],"domain_scores_gemma":[0.9978633,0.00017979849,0.0003225973,0.00021042419,0.00023642207,0.0011874482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010877541,0.00015038771,0.00041901763,0.00046679698,0.00006290673,0.000013144024,0.00014665375,0.00014205181,0.00010526176],"category_scores_gemma":[0.00043761215,0.000102570775,0.00013295304,0.0004540619,0.0009063712,0.00012656866,0.000064593914,0.00055254437,0.000012589574],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008140753,0.008376458,0.31405455,0.0012755458,0.0017063661,0.0010721405,0.0030508288,7.280867e-7,0.10084475,0.030181339,0.02768892,0.5109343],"study_design_scores_gemma":[0.004899524,0.0012555985,0.061718103,0.00052852044,0.00093001843,0.01289276,0.0013547022,0.00043624826,0.0009070798,0.0009017135,0.91387177,0.00030397935],"about_ca_topic_score_codex":7.5298897e-7,"about_ca_topic_score_gemma":2.1408619e-8,"teacher_disagreement_score":0.88618284,"about_ca_system_score_codex":0.000051818028,"about_ca_system_score_gemma":0.00015853046,"threshold_uncertainty_score":0.41827148},"labels":[],"label_agreement":null},{"id":"W1838336452","doi":"10.36876/smjo.1003","title":"Short Term Sensory and Cutaneous Vascular Responses to Cold Water Immersion in Patients with Distal Radius Fracture (DRF)","year":2015,"lang":"en","type":"article","venue":"SM Journal of Orthopedics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Joseph's Health Care; McMaster University; St Joseph's Health Centre; Western University","funders":"McMaster University","keywords":"Immersion (mathematics); Sensory system; Medicine; RADIUS; Term (time); Fracture (geology); Materials science; Composite material; Psychology; Mathematics; Physics; Neuroscience; Geometry; Computer science; Astronomy","score_opus":0.010128568407924561,"score_gpt":0.24426982046241807,"score_spread":0.23414125205449351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1838336452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978504,0.00047692668,0.00016485267,0.00068989536,0.00025739308,0.000375034,0.000009813611,0.000010019858,0.00016563703],"genre_scores_gemma":[0.9974014,0.00009829866,0.0010729043,0.00095760706,0.00026511186,0.0000016382469,0.000013937049,0.000037536458,0.00015153276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979724,0.00010698412,0.00048336375,0.00018006397,0.00094447494,0.00031270436],"domain_scores_gemma":[0.99858004,0.000055722645,0.00011171915,0.00024337588,0.00044452972,0.0005646187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006402465,0.00021133541,0.0004847115,0.0004556226,0.000046784313,0.000016392816,0.000090598805,0.00013365735,0.00002495709],"category_scores_gemma":[0.00015591508,0.000121447265,0.00008728961,0.000192098,0.00013486648,0.000118974334,0.00004170107,0.00059311406,0.0000034302686],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006479475,0.00021714345,0.9811716,0.00004735693,0.00015837992,0.003459701,0.0022418313,0.00003684117,0.0016270106,0.0000015202419,0.0010399424,0.003519197],"study_design_scores_gemma":[0.011340297,0.008196555,0.9488679,0.0010350271,0.0005821368,0.0027455324,0.0012261684,0.000009885875,0.0023204458,0.00001629404,0.02326682,0.0003929411],"about_ca_topic_score_codex":0.000006419815,"about_ca_topic_score_gemma":0.0000016570076,"teacher_disagreement_score":0.032303702,"about_ca_system_score_codex":0.000101337,"about_ca_system_score_gemma":0.00012317444,"threshold_uncertainty_score":0.49524757},"labels":[],"label_agreement":null},{"id":"W1859298325","doi":"","title":"Measurement of Scleral Thickness Distribution in Human Eyes Using Micro-MRI","year":2007,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Distribution (mathematics); Ophthalmology; Materials science; Biomedical engineering; Medicine; Mathematics; Mathematical analysis","score_opus":0.01853269699349744,"score_gpt":0.26335603548227743,"score_spread":0.24482333848878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1859298325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99230826,0.00022097115,0.0033849692,0.00007339921,0.00016055726,0.00039711408,0.0000201454,0.000064279804,0.0033703193],"genre_scores_gemma":[0.9985018,0.000013286368,0.0009928872,0.000078265,0.00011108747,6.3061594e-7,0.0001547271,0.000029285811,0.0001180262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977745,0.000029170795,0.0006005319,0.00032689483,0.00076697674,0.00050195586],"domain_scores_gemma":[0.99870443,0.000022480564,0.0003362826,0.00032286157,0.0004302813,0.0001836682],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012324332,0.00024711693,0.00047470423,0.0006073074,0.00013364242,0.000006643322,0.00017242662,0.00020141112,0.0001476371],"category_scores_gemma":[0.00006235819,0.00025068608,0.0001826451,0.0010214618,0.00028631248,0.00018480279,0.000057341305,0.000377259,0.0000033689669],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064960506,0.00034427253,0.5066547,0.00021811316,0.00016718244,0.0006646235,0.0016092195,0.00007026731,0.48629254,0.0024575186,0.00031904157,0.00055291253],"study_design_scores_gemma":[0.008835578,0.0008351182,0.8120182,0.002787236,0.00060806266,0.0002007509,0.008170281,0.00020727614,0.16106676,0.00026891747,0.004291363,0.000710426],"about_ca_topic_score_codex":0.00066383585,"about_ca_topic_score_gemma":0.0000984955,"teacher_disagreement_score":0.3252258,"about_ca_system_score_codex":0.00050689204,"about_ca_system_score_gemma":0.00014228969,"threshold_uncertainty_score":0.9999945},"labels":[],"label_agreement":null},{"id":"W1860300100","doi":"10.1111/j.1743-6109.2006.00399.x","title":"Thermography as a Physiological Measure of Sexual Arousal in Both Men and Women","year":2007,"lang":"en","type":"article","venue":"The Journal of Sexual Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Sexual arousal; Arousal; Sex organ; Psychology; Audiology; Relaxation (psychology); Medicine; Social psychology; Biology","score_opus":0.022342055175577892,"score_gpt":0.29587553762258884,"score_spread":0.2735334824470109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1860300100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99063724,0.0035375864,0.0001264067,0.0017180025,0.00019332522,0.0003653626,0.0000022712793,0.00001707206,0.0034027516],"genre_scores_gemma":[0.9970986,0.00030211618,0.00015679937,0.0012796571,0.0010196597,0.0000027112071,0.0000020834232,0.000029680885,0.00010868813],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99665827,0.00025864685,0.0011971382,0.00019578921,0.0011579639,0.00053217536],"domain_scores_gemma":[0.9976331,0.00065708405,0.0006670566,0.00037693465,0.00029608636,0.00036975055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072052157,0.00029394127,0.0010966371,0.0007206021,0.00005850762,0.0000029825526,0.00031665922,0.00017991659,0.00019918672],"category_scores_gemma":[0.00077977276,0.00014734318,0.000028528357,0.00089471316,0.0012688839,0.00008587034,0.00005719906,0.00104134,0.0000014920497],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071125897,0.00040099115,0.0138161,0.00022679297,0.0005013495,0.00045779935,0.026912604,0.000004947269,0.9275844,0.00012484768,0.0014381186,0.02141945],"study_design_scores_gemma":[0.015440106,0.06500556,0.8133089,0.0012718429,0.00094683975,0.0042971256,0.09416535,0.000024578912,0.0022338303,0.002568218,0.00040598467,0.000331693],"about_ca_topic_score_codex":0.00012188275,"about_ca_topic_score_gemma":0.0000070431333,"teacher_disagreement_score":0.9253506,"about_ca_system_score_codex":0.00007825991,"about_ca_system_score_gemma":0.0001098881,"threshold_uncertainty_score":0.600848},"labels":[],"label_agreement":null},{"id":"W1919500120","doi":"","title":"Vesselness features and the inverse compositional AAM for robust face recognition sing thermal IR","year":2013,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Artificial intelligence; Image warping; Facial expression; Computer science; Pattern recognition (psychology); Computer vision; Face (sociological concept); Active appearance model; Expression (computer science); Facial recognition system; Local binary patterns; Image (mathematics); Histogram","score_opus":0.11694965693318955,"score_gpt":0.32794215122885784,"score_spread":0.2109924942956683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1919500120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8304457,0.00025935264,0.08233833,0.051635463,0.00097137556,0.0048457817,0.00019059128,0.00020741073,0.029105991],"genre_scores_gemma":[0.9923354,0.000021468191,0.0036470285,0.0030025728,0.0003923816,0.0002539262,0.00017448646,0.000016545857,0.00015622273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984847,0.00009547054,0.0003403276,0.0002917803,0.0005664021,0.00022136224],"domain_scores_gemma":[0.9976808,0.00074911624,0.00012811177,0.00013051392,0.001211043,0.00010042018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005422017,0.00018161467,0.00023290789,0.0001619086,0.0003067811,0.0001047098,0.00013339893,0.000120129844,0.00064345193],"category_scores_gemma":[0.0005824815,0.00012716872,0.00008708076,0.00021092738,0.0006482866,0.00016560224,0.000022976856,0.000330123,0.000104002705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004856808,0.0006220879,0.00019640468,0.0001818895,0.00028492927,0.000009161692,0.003734213,0.002064776,0.064615384,0.5966624,0.0067157256,0.32005623],"study_design_scores_gemma":[0.002149115,0.0010245234,0.021676349,0.0009491817,0.00023850243,0.00017693064,0.005867646,0.20572129,0.094201736,0.66685665,0.00033696514,0.000801082],"about_ca_topic_score_codex":0.000045910514,"about_ca_topic_score_gemma":0.000016891561,"teacher_disagreement_score":0.31925514,"about_ca_system_score_codex":0.000054777294,"about_ca_system_score_gemma":0.00014561233,"threshold_uncertainty_score":0.70453477},"labels":[],"label_agreement":null},{"id":"W1952823175","doi":"","title":"Increased levels of fractalkine in the trigeminal ganglion sensitize temporalis muscle nociceptors to mechanical stimulation","year":2015,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stimulation; Nociceptor; Trigeminal ganglion; Medicine; Ganglion; Anatomy; Neuroscience; Internal medicine; Nociception; Biology","score_opus":0.02886724522187908,"score_gpt":0.2722109136561735,"score_spread":0.24334366843429442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1952823175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99353516,0.00003151745,0.00038927037,0.0006835592,0.00014333769,0.0007003191,0.00004553878,0.000067666006,0.0044036214],"genre_scores_gemma":[0.9967777,0.000002179735,0.0018059424,0.00078664237,0.00017175773,0.0000031962013,0.00017815246,0.000031773863,0.00024263326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978462,0.00011184305,0.00048614462,0.00034020134,0.0008610144,0.00035461917],"domain_scores_gemma":[0.9984276,0.00016786969,0.0002607376,0.00043763692,0.00037799048,0.00032813603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010747596,0.00025268452,0.00049732416,0.00074937317,0.00006481404,0.00000994768,0.0002350726,0.00019505933,0.0002896662],"category_scores_gemma":[0.0004053495,0.00020244489,0.0001651503,0.0016470716,0.00012305446,0.00021300148,0.000061628656,0.00036159455,0.000023038723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01761424,0.0036327767,0.5221877,0.000637489,0.00095968304,0.0130745815,0.09742013,0.0012523789,0.26209205,0.0122553,0.05016133,0.018712323],"study_design_scores_gemma":[0.023003139,0.0056780917,0.8540053,0.0012998036,0.0011333947,0.0004455002,0.060454324,0.002208692,0.027436083,0.0010473274,0.022059316,0.0012290311],"about_ca_topic_score_codex":0.0010424186,"about_ca_topic_score_gemma":0.000052895317,"teacher_disagreement_score":0.3318176,"about_ca_system_score_codex":0.0001741799,"about_ca_system_score_gemma":0.0001934752,"threshold_uncertainty_score":0.8255463},"labels":[],"label_agreement":null},{"id":"W1967150127","doi":"10.1016/j.jtherbio.2014.08.003","title":"Monitoring changes in skin temperature associated with exercise in horses on a water treadmill by use of infrared thermography","year":2014,"lang":"en","type":"article","venue":"Journal of Thermal Biology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Thermography; Treadmill; Skin temperature; Medicine; Hindlimb; Animal science; Anatomy; Physical therapy; Infrared; Biomedical engineering; Biology; Physics","score_opus":0.012373733463217363,"score_gpt":0.24577232926618475,"score_spread":0.2333985958029674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967150127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983258,0.00062311126,0.000001138251,0.0004567884,0.000199099,0.0002276748,0.00001376501,0.00001048549,0.00014210724],"genre_scores_gemma":[0.99902934,0.0003638433,0.00010678403,0.0002346501,0.0001580013,0.000009185719,0.000014432137,0.000029519595,0.000054218945],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983919,0.00030448107,0.0005400202,0.00016867848,0.00022991802,0.0003649941],"domain_scores_gemma":[0.9988938,0.00024268319,0.00036093206,0.0002178668,0.00018446505,0.0001002461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006503058,0.00023468226,0.00083506416,0.0009179825,0.00002053765,0.000007298749,0.00016713951,0.00031341842,0.000042401694],"category_scores_gemma":[0.00020489466,0.00012522834,0.00013154936,0.00041787507,0.00017877504,0.00007962352,0.000021190435,0.0006558102,7.041349e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028509567,0.00037247644,0.3528935,0.00003177211,0.00017332543,0.0000701118,0.0013275847,0.000023991704,0.6376783,0.00000429691,0.00010606222,0.004467612],"study_design_scores_gemma":[0.006672619,0.005545331,0.5551913,0.0037460164,0.00014211156,0.00004949146,0.00032499593,0.000009448345,0.4276413,0.00008709839,0.00037057535,0.00021974664],"about_ca_topic_score_codex":0.000045116067,"about_ca_topic_score_gemma":0.000015618183,"teacher_disagreement_score":0.210037,"about_ca_system_score_codex":0.00005431002,"about_ca_system_score_gemma":0.000027977812,"threshold_uncertainty_score":0.5106663},"labels":[],"label_agreement":null},{"id":"W1970973113","doi":"10.1016/s1567-4215(03)90401-2","title":"600 Non-invasive detection of areas of reduced perfusion in the pig hearts in vivo by near-infrared spectroscopic imaging","year":2003,"lang":"en","type":"article","venue":"European Journal of Heart Failure Supplements","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Institute for Biodiagnostics","funders":"","keywords":"Medicine; In vivo; Perfusion; Infrared; Pathology; Internal medicine; Optics; Biology; Genetics","score_opus":0.006066749189379414,"score_gpt":0.2424385847078727,"score_spread":0.23637183551849328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970973113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995909,0.0003013632,0.00011733552,0.0017426823,0.0002324912,0.0005079014,0.000013313548,0.00000486793,0.0011710864],"genre_scores_gemma":[0.9969776,0.000054387187,0.0024631287,0.00032391993,0.00009759438,0.0000024275857,0.000008128758,0.00003620438,0.000036570455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966096,0.00093035825,0.001188506,0.00019457702,0.00072147336,0.00035544895],"domain_scores_gemma":[0.99869454,0.00011030321,0.0005091119,0.00034917457,0.00022541246,0.00011146305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002183916,0.00021340347,0.00054846634,0.0004901235,0.00006464159,0.000016143955,0.00019733883,0.000032480606,0.0005757322],"category_scores_gemma":[0.0003529954,0.0001582609,0.00017794702,0.0006271057,0.0001471923,0.00014616759,0.000028883183,0.0005965961,0.0000045613306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027143906,0.0002810351,0.15705703,0.00008441162,0.00003787798,0.00026561343,0.0028262804,0.0000073488363,0.8224677,0.000003908796,0.016450044,0.00024730214],"study_design_scores_gemma":[0.0107525075,0.0026598545,0.15849584,0.002042702,0.00012540941,0.00092360046,0.005706382,0.00002575677,0.79266495,0.000066204244,0.026322681,0.00021411643],"about_ca_topic_score_codex":0.000032616168,"about_ca_topic_score_gemma":0.000016174225,"teacher_disagreement_score":0.029802758,"about_ca_system_score_codex":0.000081629165,"about_ca_system_score_gemma":0.00016512534,"threshold_uncertainty_score":0.64536923},"labels":[],"label_agreement":null},{"id":"W1974455098","doi":"10.1088/0967-3334/30/4/n01","title":"Infrared thermal imaging as a physiological access pathway: a study of the baseline characteristics of facial skin temperatures","year":2009,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Skin temperature; Infrared; Asymptomatic; Medicine; Thermal infrared; Audiology; Biomedical engineering; Surgery; Physics; Optics","score_opus":0.05535913664122284,"score_gpt":0.3060895650372556,"score_spread":0.25073042839603277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974455098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970417,0.00015555254,0.000014216023,0.00035095413,0.00019449575,0.00141556,0.000022699523,0.000061026694,0.00074378663],"genre_scores_gemma":[0.997967,0.000014829111,0.00006699754,0.0014742047,0.0003796467,0.000052943273,0.000016163436,0.000014564504,0.0000136610915],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99646187,0.0005225246,0.00085352163,0.0004558793,0.001313462,0.00039271612],"domain_scores_gemma":[0.9979292,0.000068234214,0.00044956227,0.00070447486,0.00071674265,0.00013176721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008517228,0.00036059815,0.0009603129,0.00010175518,0.00012362287,0.000016043205,0.00058058277,0.00011097444,0.0001860052],"category_scores_gemma":[0.0011049763,0.00018516084,0.00032701428,0.000499776,0.0002930808,0.000072887844,0.00017714196,0.00054474984,0.0000030118076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013600951,0.004601914,0.011376487,0.000065915,0.00015990197,0.000031751748,0.00074571447,0.000018277738,0.9705511,0.0001015238,0.00031223425,0.010675127],"study_design_scores_gemma":[0.0026839005,0.003391058,0.951271,0.00026419415,0.00015226855,0.000010242094,0.00041585806,0.00006361646,0.04042001,0.0010734496,0.000056829074,0.00019757317],"about_ca_topic_score_codex":0.000021718208,"about_ca_topic_score_gemma":5.397991e-7,"teacher_disagreement_score":0.9398945,"about_ca_system_score_codex":0.000063886015,"about_ca_system_score_gemma":0.00011619628,"threshold_uncertainty_score":0.755064},"labels":[],"label_agreement":null},{"id":"W1974632032","doi":"10.1097/00005768-200305001-00437","title":"IS THERE AN INTERACTION BETWEEN PHYSICAL ACTIVITY AND CALCIUM INTAKE ON BONE MINERAL STATUS DURING THE GROWING YEARS?","year":2003,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Calcium; Physical activity; Medicine; Bone mineral; Peak bone mass; Femoral neck; Bone mineral content; Dual energy; Animal science; Internal medicine; Physical therapy; Osteoporosis; Biology","score_opus":0.022936761831450575,"score_gpt":0.3156276093708669,"score_spread":0.2926908475394163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974632032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965606,0.00006798375,0.000008849239,0.0009455918,0.00045383576,0.00060340064,0.000003120188,0.00005824749,0.0012983952],"genre_scores_gemma":[0.9986495,0.00009947239,0.00007684363,0.00046495433,0.00046884204,0.000028862234,0.000004797165,0.00003041875,0.00017631928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969195,0.00007621969,0.00034998878,0.00067312794,0.0012846629,0.00069647556],"domain_scores_gemma":[0.9985342,0.000112003785,0.00016954815,0.00067530805,0.00010094357,0.00040799283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001489951,0.00029946145,0.00062499393,0.0005698479,0.00024369903,0.000028603083,0.0001985132,0.000079936384,0.00017478486],"category_scores_gemma":[0.00027099095,0.00019176862,0.00006705761,0.0013290587,0.0014647807,0.00077830354,0.00005243908,0.000792305,0.0000046106247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024968147,0.00025435857,0.90671796,0.000058686317,0.0000026456512,0.00038407542,0.009638379,0.000007726302,0.020208552,0.000027403408,0.00005540682,0.062395103],"study_design_scores_gemma":[0.0014967737,0.00045586537,0.9903939,0.0008145374,0.00009575018,0.00010081346,0.0037478397,0.00012838891,0.0020443774,0.00014440378,0.00039051595,0.00018685622],"about_ca_topic_score_codex":0.00038594907,"about_ca_topic_score_gemma":0.0000075278654,"teacher_disagreement_score":0.0836759,"about_ca_system_score_codex":0.00019597687,"about_ca_system_score_gemma":0.00013555016,"threshold_uncertainty_score":0.7820097},"labels":[],"label_agreement":null},{"id":"W1974792764","doi":"10.1007/s11517-007-0216-8","title":"The effect of pulsed electromagnetic fields on chondrocyte morphology","year":2007,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Glenrose Rehabilitation Hospital; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chondrocyte; Osteoarthritis; Cartilage; Cell biology; Biomedical engineering; Anatomy; Morphology (biology); Materials science; Biology; Chemistry; Pathology; Medicine","score_opus":0.005113959120773842,"score_gpt":0.2508783663165776,"score_spread":0.24576440719580378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974792764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98337406,0.00072723516,0.012538513,0.00050781283,0.0005559921,0.0003137999,4.6047268e-7,0.00015157316,0.0018305811],"genre_scores_gemma":[0.99834996,0.000040364317,0.0004848988,0.0005666846,0.0004955109,0.0000053727417,0.000008188732,0.00001849724,0.000030489815],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99785495,0.00009397923,0.0005560594,0.00029557728,0.0005136235,0.0006857837],"domain_scores_gemma":[0.9958949,0.0033610377,0.000092527654,0.00031503392,0.000044076853,0.00029241547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00230859,0.00024557632,0.0005450599,0.00012729006,0.00009300542,0.000005330711,0.00029747872,0.0003984371,0.00019448006],"category_scores_gemma":[0.003487714,0.00012970367,0.00018726727,0.00040407837,0.0002802217,0.000007203907,0.000081371574,0.0010687109,0.000019677815],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0055108806,0.00049528125,0.10964561,0.000710251,0.00077079376,0.0028072884,0.00035699003,0.0021520902,0.3108281,0.0027407838,0.0014561677,0.56252575],"study_design_scores_gemma":[0.013568141,0.054959435,0.70605373,0.0021877359,0.00028936737,0.0023406239,0.00005969804,0.06664404,0.14515707,0.00017813173,0.0074480316,0.0011140123],"about_ca_topic_score_codex":0.000007905734,"about_ca_topic_score_gemma":3.755796e-7,"teacher_disagreement_score":0.5964081,"about_ca_system_score_codex":0.00004183238,"about_ca_system_score_gemma":0.00002397425,"threshold_uncertainty_score":0.5289162},"labels":[],"label_agreement":null},{"id":"W1976909617","doi":"10.1139/h02-029","title":"Ultra-sound Imaging for Precision Implantation of a Multi Sensor Temperature Probe in Skeletal Muscle Tissue","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Applied Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Materials science; Perpendicular; Chicken breast; Biomedical engineering; Skeletal muscle; Sound (geography); Muscle tissue; Anatomy; Acoustics; Chemistry; Medicine; Physics","score_opus":0.012747714425580545,"score_gpt":0.25553148339493215,"score_spread":0.2427837689693516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976909617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976672,0.00051305833,0.00019054979,0.00027623313,0.00023555418,0.0006102575,0.000041449817,0.000004605323,0.00046107697],"genre_scores_gemma":[0.99557376,0.00002660426,0.003667024,0.00036139187,0.00028267794,0.000014129226,0.000026720922,0.00002357716,0.000024127747],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988616,0.000031016276,0.0004920911,0.00015727154,0.00011251575,0.0003454768],"domain_scores_gemma":[0.9989897,0.00012269989,0.0002709962,0.00015379378,0.00020846246,0.00025432184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023242211,0.00014199165,0.00045400142,0.00052090327,0.000054168053,0.0000056075273,0.00011072551,0.0001237227,0.00013728254],"category_scores_gemma":[0.00009179542,0.00011919645,0.000090967966,0.0002463764,0.00015328177,0.000049990445,0.0000032005876,0.00034231853,0.0000030401156],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018082856,0.000059531987,0.0007452688,0.00013162773,0.000048461578,0.000075048505,0.0023768363,0.00007722147,0.98251,0.00016522084,0.00072890637,0.012901059],"study_design_scores_gemma":[0.03716945,0.0035791502,0.6550848,0.0018065184,0.0006686296,0.0031037019,0.007837677,0.0013683907,0.25982824,0.010646373,0.017740646,0.0011663986],"about_ca_topic_score_codex":0.00020036692,"about_ca_topic_score_gemma":0.0004648985,"teacher_disagreement_score":0.72268176,"about_ca_system_score_codex":0.00008616726,"about_ca_system_score_gemma":0.00016680994,"threshold_uncertainty_score":0.48606902},"labels":[],"label_agreement":null},{"id":"W1978230154","doi":"10.1007/s13530-012-0123-8","title":"The relationship between the change in digital infrared thermography imaging and preoperative and postoperative pain or disability in HNP patients","year":2012,"lang":"en","type":"article","venue":"Toxicology and Environmental Health Sciences","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"McGill Pain Questionnaire; Medicine; Thermography; Rating scale; Physical therapy; Visual analogue scale; Surgery; Anesthesia; Psychology; Infrared","score_opus":0.03728648926480193,"score_gpt":0.31952691361337876,"score_spread":0.2822404243485768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978230154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991077,0.0027582794,0.0000017420494,0.005038755,0.00004385362,0.0009148873,0.000021189853,0.0000056749504,0.00013861309],"genre_scores_gemma":[0.99748147,0.0002759667,0.000033867735,0.0020664667,0.000037685753,0.000078507386,0.000011963191,0.0000042456873,0.000009847301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870116,0.000343804,0.0002483155,0.00021193484,0.00014446164,0.00035030307],"domain_scores_gemma":[0.9981938,0.0015201177,0.00006662036,0.00009471558,0.0000023552686,0.00012239744],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020491376,0.00011629738,0.0001791128,0.000068431116,0.00059859856,0.000022295508,0.00006486057,0.00005064283,0.000010972716],"category_scores_gemma":[0.0001994778,0.000057437835,0.000012784398,0.00022508146,0.003426327,0.00035367633,0.00007435928,0.00025298278,3.7471452e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006715734,0.000087867666,0.9661962,0.000012511303,0.0000034912182,5.3883076e-7,0.010511031,7.0034716e-8,0.0000034306408,0.00011174582,0.000007727212,0.022998227],"study_design_scores_gemma":[0.0006671041,0.00071324274,0.99181545,0.000046129884,0.0000050176186,0.000007662788,0.0061373855,0.000048757694,0.000003134505,0.00043321826,0.00006124829,0.00006165261],"about_ca_topic_score_codex":0.000060924343,"about_ca_topic_score_gemma":0.00007975558,"teacher_disagreement_score":0.025619244,"about_ca_system_score_codex":0.00006172719,"about_ca_system_score_gemma":0.000019484525,"threshold_uncertainty_score":0.99928576},"labels":[],"label_agreement":null},{"id":"W1979892179","doi":"10.1186/1743-0003-6-11","title":"Infrared thermography as an access pathway for individuals with severe motor impairments","year":2009,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermography; Closing (real estate); Robustness (evolution); Computer science; Computer vision; Sensitivity (control systems); Infrared; Physical medicine and rehabilitation; Artificial intelligence; Human–computer interaction; Medicine; Engineering","score_opus":0.006859171453710967,"score_gpt":0.26658940953754034,"score_spread":0.2597302380838294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979892179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99686867,0.00014383836,0.00088266993,0.0012834301,0.00013855637,0.00051500346,0.000007821048,0.000037494246,0.0001225318],"genre_scores_gemma":[0.98613,0.000037997557,0.013149905,0.0004112181,0.0001950452,0.000010463395,0.000005848557,0.000023533234,0.000035986188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899334,0.000037671278,0.00033739468,0.00014223573,0.00031453164,0.00017483368],"domain_scores_gemma":[0.99896145,0.00020977357,0.00020405315,0.0001565701,0.00027661363,0.00019156805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031824468,0.0001545815,0.00030139217,0.0005222421,0.00005249147,0.0000366887,0.00009618753,0.000056604855,0.0000052846954],"category_scores_gemma":[0.00026020227,0.000106188774,0.00012076244,0.00027688607,0.000049667706,0.00039538337,0.000006166966,0.00021300891,1.1962197e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019557353,0.0040244753,0.5137993,0.0034661056,0.0019044974,0.00079752406,0.026404249,0.0069141905,0.2329424,0.0014624136,0.0036370542,0.18509041],"study_design_scores_gemma":[0.0061088135,0.045129105,0.94019014,0.000740168,0.00020906197,0.0014442635,0.0005291324,0.00045919817,0.000518874,0.002881148,0.0015799846,0.00021012235],"about_ca_topic_score_codex":5.894829e-7,"about_ca_topic_score_gemma":4.6347793e-8,"teacher_disagreement_score":0.4263908,"about_ca_system_score_codex":0.000020560377,"about_ca_system_score_gemma":0.00005057617,"threshold_uncertainty_score":0.43302524},"labels":[],"label_agreement":null},{"id":"W1981301597","doi":"10.1155/2010/287929","title":"Image Processing and Analysis in Biomechanics","year":2010,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biomechanics; Image processing; Computer science; Computer vision; Artificial intelligence; Image (mathematics); Computer graphics (images); Anatomy; Medicine","score_opus":0.009189409498030496,"score_gpt":0.31074388723334856,"score_spread":0.30155447773531807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981301597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97444564,0.009588307,0.011285332,0.0007375099,0.00021289432,0.0002496593,0.0000025799447,0.000054523545,0.0034235246],"genre_scores_gemma":[0.9794689,0.0005667616,0.019026162,0.00056550687,0.00030222905,0.000006770595,0.0000042849374,0.000036722296,0.000022709566],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977465,0.00007310919,0.00072222546,0.00038322876,0.00059666444,0.0004782523],"domain_scores_gemma":[0.99891186,0.00010202702,0.00038632308,0.00015371993,0.00020725683,0.00023882026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012392035,0.00027890143,0.00061015034,0.0021061085,0.00017484259,0.00012597597,0.00017384994,0.00013611346,0.000120087905],"category_scores_gemma":[0.00021828775,0.00022086885,0.00010941495,0.0028761239,0.00023025177,0.0009123214,0.000029950244,0.0019588096,0.0000029090727],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005724381,0.00029974023,0.06858647,0.00034978346,0.00005395255,0.0011588029,0.0010628009,0.00007727943,0.15071532,0.00005332682,0.0000065215795,0.77706355],"study_design_scores_gemma":[0.040434673,0.006555539,0.39432043,0.02198772,0.0036331874,0.015436574,0.011373844,0.37063932,0.06795601,0.049313787,0.013374823,0.0049740965],"about_ca_topic_score_codex":0.0000016597561,"about_ca_topic_score_gemma":0.000015455105,"teacher_disagreement_score":0.7720895,"about_ca_system_score_codex":0.0000751788,"about_ca_system_score_gemma":0.00015643417,"threshold_uncertainty_score":0.900677},"labels":[],"label_agreement":null},{"id":"W1983491528","doi":"10.1016/j.jmpt.2010.01.008","title":"Consistency of Cutaneous Thermal Scanning Measures Using Prone and Standing Protocols: A Pilot Study","year":2010,"lang":"en","type":"article","venue":"Journal of Manipulative and Physiological Therapeutics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Prone position; Medicine; Significant difference; Physical medicine and rehabilitation; Physical therapy; Surgery; Internal medicine","score_opus":0.4607154218553447,"score_gpt":0.4166880474090936,"score_spread":0.0440273744462511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983491528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682015,0.00031803062,0.0001388749,0.000044823384,0.00005931165,0.0024337394,0.0000019693684,0.000008144451,0.00017493623],"genre_scores_gemma":[0.99773484,0.000035735513,0.0018596237,0.00012993743,0.00019859301,0.000021702976,3.5448016e-7,0.000014659171,0.0000045262204],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986107,0.00017014876,0.0005486069,0.0001449776,0.00035138926,0.00017419376],"domain_scores_gemma":[0.9987186,0.0001706474,0.0005102301,0.00013275011,0.00036518756,0.00010258313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005829115,0.00018040722,0.00063517346,0.00011874327,0.00010619085,0.000013618589,0.000080103244,0.000070135866,0.000026060172],"category_scores_gemma":[0.00009945441,0.000106078165,0.00006810337,0.00013966822,0.0004204189,0.00006691179,0.000039892006,0.00061969337,7.846022e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023822854,0.00079142913,0.09912125,0.00007321668,0.00045261276,0.00008803773,0.0015377504,0.000016546946,0.8918377,0.00020856236,0.0000010638764,0.0034895265],"study_design_scores_gemma":[0.0073399977,0.058903027,0.9072592,0.00099503,0.0010719502,0.0017919178,0.0048439624,0.0011256308,0.010909324,0.0052956976,0.00009613368,0.0003681183],"about_ca_topic_score_codex":0.0000057758084,"about_ca_topic_score_gemma":9.0443905e-7,"teacher_disagreement_score":0.8809284,"about_ca_system_score_codex":0.000014708544,"about_ca_system_score_gemma":0.000053829022,"threshold_uncertainty_score":0.4325742},"labels":[],"label_agreement":null},{"id":"W1988333843","doi":"10.1016/s1063-4584(09)60372-1","title":"350 AUTOMATED QUANTIFICATION AND DIAGNOSIS OF THE SEVERITY OF THE KNEE ON PLAIN RADIOGRAPHS: THE ROAD STUDY","year":2009,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Work & Health; University of Toronto","funders":"","keywords":"Plain radiography; Medicine; Radiography; Orthodontics; Radiology","score_opus":0.00858428203439512,"score_gpt":0.24250106735380783,"score_spread":0.2339167853194127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988333843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940221,0.0020174629,4.2197235e-7,0.0018353062,0.00014664297,0.0011971625,0.000034736913,0.00003744098,0.000708756],"genre_scores_gemma":[0.9991971,0.00020130457,0.0000068534014,0.00046129467,0.000037289967,0.000044676628,0.000002984001,0.000009600166,0.000038894945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872035,0.0002323345,0.00032563013,0.00019842465,0.00037101636,0.000152263],"domain_scores_gemma":[0.99898803,0.000090807145,0.00017478943,0.00062039285,0.00007809435,0.00004787444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004895113,0.00014090554,0.00028935933,0.00006848136,0.00019372716,0.000013884943,0.00013328191,0.0000680905,0.000016268405],"category_scores_gemma":[0.0001199145,0.00006924748,0.00011927468,0.00047608593,0.00040728803,0.000035850804,0.000035086265,0.00018860358,3.8140928e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048992055,0.000996509,0.72017795,0.00011983232,0.0000700138,0.000021852957,0.011648385,0.000005573696,0.08981686,0.00074226415,0.00266908,0.17324175],"study_design_scores_gemma":[0.0021122342,0.0018007697,0.95731974,0.00039681996,0.00017705686,0.00003973116,0.0019995691,0.000021037897,0.035626188,0.00010783899,0.0003201714,0.00007887296],"about_ca_topic_score_codex":0.000038395785,"about_ca_topic_score_gemma":0.000057060955,"teacher_disagreement_score":0.23714176,"about_ca_system_score_codex":0.0000075130533,"about_ca_system_score_gemma":0.000019397623,"threshold_uncertainty_score":0.28238302},"labels":[],"label_agreement":null},{"id":"W1992917815","doi":"10.1117/12.818285","title":"Observation of the human body thermoregulation and extraction of its vein signature using NIR and MWIR imaging","year":2009,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Thermoregulation; Signature (topology); Extraction (chemistry); Optical imaging; Biology; Chemistry; Physics; Mathematics; Ecology; Optics; Chromatography","score_opus":0.012982978428674253,"score_gpt":0.2563404341531911,"score_spread":0.24335745572451684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992917815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99654025,0.0003820424,0.000028055925,0.0018447048,0.00009526521,0.00061593915,0.000013363864,0.000027575486,0.00045277667],"genre_scores_gemma":[0.9838122,0.00006643396,0.015734455,0.000098706194,0.00020694047,0.000011650322,0.0000057138723,0.000026932692,0.000036952682],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983592,4.5258393e-8,0.00060774584,0.00023718033,0.0006023729,0.00019347155],"domain_scores_gemma":[0.9977859,0.00007317974,0.0005789497,0.00005851485,0.0014412384,0.00006220501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005395469,0.00021345066,0.0003727229,0.00012405161,0.00007904665,0.000023266042,0.00024585414,0.00015632113,0.000004774154],"category_scores_gemma":[0.00037942885,0.00015435964,0.00027379484,0.000337037,0.00026310896,0.00039904416,0.000056710018,0.00030063026,2.5845804e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009753182,0.00008477678,0.0060712155,0.0005821571,0.0001636903,5.915472e-8,0.00035900585,0.000033870427,0.8981036,0.09366491,0.00010430007,0.0007348844],"study_design_scores_gemma":[0.0019377347,0.0004445035,0.29270658,0.0017203372,0.0004975108,0.000056721412,0.0012234539,0.040492564,0.65792876,0.0026512237,0.00011034722,0.00023028758],"about_ca_topic_score_codex":0.0000068029535,"about_ca_topic_score_gemma":3.7568746e-8,"teacher_disagreement_score":0.28663534,"about_ca_system_score_codex":0.00007310184,"about_ca_system_score_gemma":0.000023532277,"threshold_uncertainty_score":0.6294604},"labels":[],"label_agreement":null},{"id":"W1993020976","doi":"10.1088/1742-6596/214/1/012024","title":"Photothermal radiometry and modulated luminescence examination of demineralized and remineralized dental lesions","year":2010,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"","keywords":"Demineralization; Remineralisation; Luminescence; Radiometry; Dentin; Tooth Remineralization; Chemistry; Fluoride; Dentistry; Hydroxylapatite; Materials science; Analytical Chemistry (journal); Mineralogy; Optics; Composite material; Chromatography; Optoelectronics; Inorganic chemistry; Medicine","score_opus":0.013902642714167288,"score_gpt":0.26045146841265054,"score_spread":0.24654882569848324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993020976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982415,0.0001846807,0.0006161012,0.00016762417,0.00019921635,0.00014596044,0.0000074016875,0.000010655235,0.00042685337],"genre_scores_gemma":[0.9945344,0.00032711282,0.0047550565,0.00005063163,0.00019986466,0.0000018924977,0.0000068173676,0.000015773092,0.00010847287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889535,0.0000509651,0.0004594161,0.000120615055,0.0003333221,0.00014033324],"domain_scores_gemma":[0.9986267,0.00007977933,0.00043706168,0.00015578348,0.0005592287,0.00014143577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003585167,0.00015704983,0.00050270895,0.00022348006,0.00004896512,0.00001788023,0.000088086534,0.0001015444,0.00007115424],"category_scores_gemma":[0.00022710758,0.000121850244,0.000071797054,0.00031204137,0.00053699047,0.00033597284,0.000030239878,0.00039143628,2.1206695e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039886046,0.00008005405,0.02065165,0.00009986289,0.000083757455,0.000024385146,0.0010293301,3.9051133e-7,0.94142956,0.0018708116,0.00002680841,0.034304515],"study_design_scores_gemma":[0.004444695,0.0009568004,0.41430357,0.0004917006,0.00026231096,0.0012704507,0.00084063754,0.00027647364,0.5757457,0.0011568661,0.000077030454,0.00017379817],"about_ca_topic_score_codex":0.000016214737,"about_ca_topic_score_gemma":0.0000040845616,"teacher_disagreement_score":0.3936519,"about_ca_system_score_codex":0.000009679653,"about_ca_system_score_gemma":0.00008982168,"threshold_uncertainty_score":0.49689087},"labels":[],"label_agreement":null},{"id":"W1993165279","doi":"10.1249/01.mss.0000113744.02922.43","title":"Responses of Children with Cerebral Palsy to Arm-Crank Exercise in the Heat","year":2004,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster Children's Hospital; McMaster University","funders":"","keywords":"Spastic cerebral palsy; Cerebral palsy; Heart rate; Medicine; Spastic; Analysis of variance; Physical therapy; Rectal temperature; Cardiology; Internal medicine; Physical medicine and rehabilitation; Blood pressure","score_opus":0.011602839738876793,"score_gpt":0.2747061932490379,"score_spread":0.2631033535101611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993165279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889538,0.0004530369,0.000033317603,0.0062990976,0.00026273544,0.0024966898,0.000005080688,0.00005459762,0.0014416167],"genre_scores_gemma":[0.99636364,0.00037048414,0.0012657075,0.0015712697,0.00014568302,0.00013984616,0.000011622734,0.00003622902,0.00009549231],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944789,0.00005996407,0.0010044093,0.0008256469,0.0026819736,0.0009491229],"domain_scores_gemma":[0.997658,0.000111264446,0.00017085754,0.0013638767,0.00026646614,0.00042951532],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0044429204,0.00042894945,0.0011299052,0.0020603926,0.00015031084,0.00001619935,0.0009465776,0.00010548285,0.00026482117],"category_scores_gemma":[0.0005338828,0.00024090309,0.00008869788,0.006485871,0.0028023156,0.00027070034,0.00009016937,0.00061182916,0.0000093874105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016851487,0.0005714556,0.96615916,0.00007655097,0.0000016857489,0.0006891197,0.016034145,0.00021863547,0.0012904464,0.00003634531,0.00025056177,0.012986719],"study_design_scores_gemma":[0.004784183,0.0012726919,0.98018223,0.0076468233,0.00014236891,0.00036295087,0.004162023,0.000007265778,0.0006537255,0.0004639798,0.00006419775,0.0002575813],"about_ca_topic_score_codex":0.0017551488,"about_ca_topic_score_gemma":0.00010723655,"teacher_disagreement_score":0.014023021,"about_ca_system_score_codex":0.00018049985,"about_ca_system_score_gemma":0.0006971479,"threshold_uncertainty_score":0.9999115},"labels":[],"label_agreement":null},{"id":"W1994804166","doi":"10.1007/s12013-007-0038-1","title":"Noninvasive Method for Simultaneously Measuring the Thermophysical Properties and Blood Perfusion in Cylindrically Shaped Living Tissues","year":2007,"lang":"en","type":"article","venue":"Cell Biochemistry and Biophysics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Measure (data warehouse); Cylinder; Thermal conductivity; Imaging phantom; Biomedical engineering; Perfusion; Crossover; Bioheat transfer; Materials science; Sensitivity (control systems); Biological system; Heat capacity; Thermal; Mathematics; Computer science; Thermodynamics; Physics; Medicine; Geometry; Optics; Artificial intelligence; Radiology; Composite material; Engineering","score_opus":0.016244947062500358,"score_gpt":0.2483840938809814,"score_spread":0.23213914681848105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994804166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99583757,0.0014188811,0.00080098095,0.0001775068,0.000033716315,0.00045965167,0.0000043218747,0.000033319953,0.0012340357],"genre_scores_gemma":[0.9957385,0.00016858873,0.0031654197,0.00022560592,0.00043845442,0.00001796113,0.0000074813306,0.000025079135,0.00021287902],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886256,0.000027839607,0.0002470307,0.0003498821,0.00020543626,0.0003072664],"domain_scores_gemma":[0.9989162,0.00054883555,0.000082937535,0.00022103725,0.000120409946,0.00011055511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004518004,0.00022171428,0.0002980084,0.000036914247,0.00014956945,0.0000245664,0.00010047643,0.0001509491,0.000004258385],"category_scores_gemma":[0.00019147909,0.0001401488,0.000074400494,0.00018452709,0.00024437514,0.000029648429,0.000075803386,0.00029633555,6.2773273e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002157309,0.00021402616,0.00037395617,0.0004571771,0.000032855653,0.0000621135,0.0015515236,0.0000017458246,0.9855773,0.000030020059,0.0000020565267,0.011481505],"study_design_scores_gemma":[0.00095795625,0.00032206616,0.0006894343,0.0005062119,0.00018902126,0.000103098864,0.0014618777,0.0022972256,0.993115,0.0001221317,0.000039602706,0.00019635822],"about_ca_topic_score_codex":0.000012544133,"about_ca_topic_score_gemma":7.620683e-7,"teacher_disagreement_score":0.011285147,"about_ca_system_score_codex":0.000017553662,"about_ca_system_score_gemma":0.00003980637,"threshold_uncertainty_score":0.5715102},"labels":[],"label_agreement":null},{"id":"W1995462002","doi":"10.1097/ccm.0b013e318174d800","title":"Infrared imaging of trauma patients for detection of acute compartment syndrome of the leg*","year":2008,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PBR Laboratories","funders":"","keywords":"Medicine; Compartment (ship); Thigh; Surgery; Trauma center; Emergency department; Nuclear medicine; Retrospective cohort study","score_opus":0.01851004477573221,"score_gpt":0.29748324440601887,"score_spread":0.27897319963028666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995462002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927524,0.0010135567,0.0013107971,0.0008068306,0.000669906,0.0010177232,0.00011331993,0.000025203843,0.0022903075],"genre_scores_gemma":[0.9988672,0.000015552543,0.00054990506,0.00031564018,0.00010021775,0.000039525574,0.000053163454,0.00002566976,0.00003312169],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979041,0.00006482292,0.0008055094,0.00021518317,0.00074572,0.00026465126],"domain_scores_gemma":[0.9975753,0.00035544846,0.00018568026,0.00049031375,0.0012527201,0.00014054101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019688459,0.00018596364,0.0008046387,0.00021225213,0.000079645746,6.659555e-7,0.00017355997,0.000081295366,0.000060672628],"category_scores_gemma":[0.0008486907,0.00011860763,0.00024056455,0.00041768243,0.0018350498,0.000043973716,0.00004073435,0.00020379647,4.458031e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004634375,0.0026097451,0.6697826,0.01399287,0.001492401,0.000188205,0.024990397,0.0000058747833,0.24482584,0.0036129968,0.005591447,0.028273288],"study_design_scores_gemma":[0.013761999,0.007708985,0.69954544,0.0027280517,0.0026294985,0.00044095173,0.004007773,0.00012787648,0.2670613,0.0011376982,0.00061826024,0.00023214945],"about_ca_topic_score_codex":0.000022519393,"about_ca_topic_score_gemma":7.4817183e-7,"teacher_disagreement_score":0.029762898,"about_ca_system_score_codex":0.000060125825,"about_ca_system_score_gemma":0.000062825085,"threshold_uncertainty_score":0.6761317},"labels":[],"label_agreement":null},{"id":"W1997710138","doi":"10.5958/j.0973-5674.7.3.108","title":"A Study on efficacy of different Therapeutic Modalities to Alleviate Pain due to Knee Osteoarthritis","year":2013,"lang":"en","type":"article","venue":"Indian Journal of Physiotherapy and Occupational Therapy - An International Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Osteoarthritis; Medicine; Modalities; Therapeutic modalities; Knee pain; Treatment modality; Physical therapy; Alternative medicine; Surgery; Pathology","score_opus":0.029049362383848778,"score_gpt":0.3480190905621179,"score_spread":0.31896972817826913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997710138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99504715,0.00033577337,0.0008450181,0.0021301717,0.0006618623,0.00088534306,0.000023949315,0.000011867659,0.000058834597],"genre_scores_gemma":[0.99087536,0.00019695166,0.00074786873,0.006341488,0.0017035544,0.000030388543,0.000008440407,0.000048919002,0.000047043537],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99645853,0.00046445234,0.0010521271,0.00023859207,0.0014946389,0.00029163924],"domain_scores_gemma":[0.9968811,0.00037232426,0.0006175483,0.00024356633,0.001322257,0.0005632022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009622306,0.00033647622,0.0006634371,0.001167014,0.00013478445,0.00014641653,0.00045652306,0.000084345564,0.0007640145],"category_scores_gemma":[0.000118689604,0.00023934705,0.00026834704,0.0002492445,0.00010132159,0.00039660465,0.0000225587,0.00048065794,0.000009138293],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.024289902,0.006674376,0.14737318,0.000027799475,0.004139914,0.000810113,0.03900341,0.00037276302,0.08236471,0.0007284807,0.00060465623,0.69361067],"study_design_scores_gemma":[0.01130201,0.036755785,0.94177943,0.00069068966,0.000035765916,0.0011612455,0.0026133822,0.000015555652,0.0021758864,0.0028220722,0.0003804345,0.00026775824],"about_ca_topic_score_codex":0.000030457266,"about_ca_topic_score_gemma":0.0000046373652,"teacher_disagreement_score":0.79440624,"about_ca_system_score_codex":0.00011891065,"about_ca_system_score_gemma":0.00018729965,"threshold_uncertainty_score":0.976029},"labels":[],"label_agreement":null},{"id":"W1997751540","doi":"10.1117/1.1758269","title":"Non-ionizing near-infrared radiation transillumination spectroscopy for breast tissue density and assessment of breast cancer risk","year":2004,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Sunnybrook Health Science Centre; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Transillumination; Mammography; Breast cancer; Medicine; Breast tissue; Breast cancer screening; Cancer; Radiology; Oncology; Pathology; Internal medicine","score_opus":0.007292439546076285,"score_gpt":0.30641337849227235,"score_spread":0.29912093894619607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997751540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89761966,0.00036013767,0.09584542,0.0050638965,0.0004936346,0.00039868106,0.00013274113,0.000010278944,0.00007557195],"genre_scores_gemma":[0.9140727,0.0011615375,0.083833165,0.00014946352,0.00073015183,0.0000042256215,0.00001809373,0.000021729822,0.00000892457],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998139,0.000029718925,0.00074781047,0.00014238316,0.00071545714,0.00022558458],"domain_scores_gemma":[0.9981757,0.00009809863,0.0006819452,0.00013502633,0.0005989673,0.00031030353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081979454,0.00015611382,0.0005419363,0.00028166044,0.000097717435,0.000017956558,0.00008638816,0.00017507825,0.000041400694],"category_scores_gemma":[0.00010514354,0.00012213447,0.00013733529,0.00034980584,0.00037798984,0.00013154317,0.000012311662,0.00043041928,2.4962642e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022814625,0.0020477024,0.06291381,0.0015234563,0.0015792826,0.00027634815,0.004233425,0.00024083693,0.6389386,0.0006958481,0.000872666,0.28439656],"study_design_scores_gemma":[0.01338199,0.003111043,0.9431633,0.0013502422,0.0013680537,0.0022629602,0.00045164645,0.005573736,0.027524307,0.001220871,0.0003812756,0.00021057333],"about_ca_topic_score_codex":0.00003240954,"about_ca_topic_score_gemma":0.0000024394851,"teacher_disagreement_score":0.8802495,"about_ca_system_score_codex":0.0002328586,"about_ca_system_score_gemma":0.0006023326,"threshold_uncertainty_score":0.49804994},"labels":[],"label_agreement":null},{"id":"W2000335673","doi":"10.1117/12.459586","title":"&lt;title&gt;Progress in theoretical, experimental, and computational investigations in turbid tissue phantoms and human teeth using laser infrared photothermal radiometry&lt;/title&gt;","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Radiometry; Materials science; Scattering; Enamel paint; Laser; Absorption (acoustics); Photothermal therapy; Infrared; Mie scattering; Light scattering; Biomedical engineering; Physics; Medicine","score_opus":0.013794179856423169,"score_gpt":0.2633858946458873,"score_spread":0.24959171478946413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000335673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881989,0.000616478,0.000007564414,0.00041861332,0.00006509559,0.00032217774,0.000013880419,0.000028038134,0.010329293],"genre_scores_gemma":[0.9654663,0.000042172975,0.033989772,0.00011254564,0.00015227703,0.00003776962,0.000007662575,0.000034182885,0.00015730213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989479,4.856356e-8,0.00033457243,0.0001984755,0.00033198742,0.00018697185],"domain_scores_gemma":[0.9995114,0.000056443456,0.00010100628,0.000032341595,0.00021413607,0.00008467454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022252805,0.0001578411,0.00024967996,0.0001918493,0.00004097163,0.000036517962,0.00014632312,0.00011597849,0.00021077202],"category_scores_gemma":[0.000110874105,0.00013555054,0.00008615573,0.00032146796,0.0005578455,0.0001361407,0.000051013667,0.00019520198,0.0000015754458],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045867993,0.0002372238,0.0030044045,0.0003772011,0.00018859483,0.0000014452006,0.0007326371,0.000025400353,0.4396077,0.55176497,0.0034417415,0.00057283376],"study_design_scores_gemma":[0.020829419,0.0028846324,0.041581508,0.006232877,0.00081325095,0.00059095444,0.004254816,0.48076198,0.37985355,0.040260866,0.019370906,0.0025652398],"about_ca_topic_score_codex":0.0000024273506,"about_ca_topic_score_gemma":4.3378044e-8,"teacher_disagreement_score":0.5115041,"about_ca_system_score_codex":0.000076858814,"about_ca_system_score_gemma":0.00001214531,"threshold_uncertainty_score":0.55275905},"labels":[],"label_agreement":null},{"id":"W2004320211","doi":"10.1118/1.2031016","title":"Medical Imaging: The vision for new medical advances","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Women's College Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Medical imaging; Medical physics; Medicine; Medical physicist; Computer science; Radiology","score_opus":0.009107473275396568,"score_gpt":0.32608832912935765,"score_spread":0.3169808558539611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004320211","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015948033,0.015300433,0.27634916,0.66275275,0.0032597808,0.0021547517,0.000018248049,0.0007231352,0.023493718],"genre_scores_gemma":[0.81366634,0.0026893357,0.0029367928,0.13206315,0.046145782,0.00019321288,0.0001946759,0.00020093007,0.0019097655],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9925698,0.00008901828,0.0007178939,0.0005044736,0.0053826864,0.00073613005],"domain_scores_gemma":[0.99591887,0.0011328494,0.00014113834,0.0006850685,0.0001852727,0.0019367748],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019148453,0.00034489745,0.00062581326,0.00007419168,0.00021477028,0.000020730002,0.0008439166,0.00037091365,0.004619386],"category_scores_gemma":[0.0054243803,0.00020119798,0.00036312206,0.00047549125,0.0011283057,0.00018620276,0.00016753793,0.0013059966,0.00015407683],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018437493,0.0003610607,0.0015058136,0.00008815754,0.00007679252,0.0001093115,0.00029328727,7.9741784e-7,0.000040492534,0.0024669524,0.14406359,0.8508094],"study_design_scores_gemma":[0.008462706,0.0004674055,0.0018715254,0.0012777325,0.0002452205,0.00049196073,0.00013454961,0.010828335,0.00115373,0.011914449,0.9627659,0.00038651522],"about_ca_topic_score_codex":0.00001803129,"about_ca_topic_score_gemma":0.00001590722,"teacher_disagreement_score":0.85042286,"about_ca_system_score_codex":0.000075873955,"about_ca_system_score_gemma":0.0015098217,"threshold_uncertainty_score":0.9962905},"labels":[],"label_agreement":null},{"id":"W2005231413","doi":"10.1063/1.1521524","title":"Experimental and computational aspects of optical property determination of turbid media using frequency-domain laser infrared photothermal radiometry (abstract)","year":2003,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; University of New Brunswick","funders":"","keywords":"Radiometry; Photothermal therapy; Optics; Materials science; Mie scattering; Infrared; Laser; SIGNAL (programming language); Time domain; Frequency domain; Scattering; Light scattering; Physics; Computer science","score_opus":0.02360359417092186,"score_gpt":0.29280323340416686,"score_spread":0.269199639233245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005231413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98857486,0.0036536274,0.000056379533,0.00001675863,0.00033228073,0.00073082244,0.000032668326,0.000008063979,0.0065945513],"genre_scores_gemma":[0.95969874,0.0001643243,0.039959744,0.00006755771,0.000018355968,0.000008350661,0.000049839386,0.00001551893,0.000017560047],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99768364,0.000082723636,0.0008409534,0.0002834785,0.0009087986,0.00020039867],"domain_scores_gemma":[0.9987714,0.000059176895,0.00045870352,0.0002781516,0.00030929668,0.00012326927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010578213,0.00016940793,0.0005893127,0.00040050535,0.000059198617,0.000008799421,0.00011526815,0.00007450356,0.00044229068],"category_scores_gemma":[0.00032083326,0.00012138701,0.000118751275,0.00075134845,0.00088225206,0.0001685112,0.000029810646,0.00012269178,0.0000016764548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007259951,0.0007789359,0.007719229,0.009335057,0.00012525018,0.000021873275,0.00090582686,8.249331e-7,0.9568662,0.0017759992,0.000049984956,0.022348242],"study_design_scores_gemma":[0.003652126,0.00040327152,0.0206739,0.018340504,0.00024211346,0.00028016834,0.00048586717,0.00034320154,0.95342165,0.0017523906,0.00014616079,0.00025863017],"about_ca_topic_score_codex":0.0000072577313,"about_ca_topic_score_gemma":1.8624898e-7,"teacher_disagreement_score":0.039903365,"about_ca_system_score_codex":0.000076250064,"about_ca_system_score_gemma":0.00024662353,"threshold_uncertainty_score":0.49500185},"labels":[],"label_agreement":null},{"id":"W2021445915","doi":"10.2466/pms.2002.95.3.953","title":"Effects of Daily or Weekly Thermal (Footpad) Stress upon Manifestation of Melanoma Tumours","year":2002,"lang":"en","type":"article","venue":"Perceptual and Motor Skills","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Carcinogenesis; Latency stage; Medicine; Melanoma; Stimulation; Analysis of variance; Latency (audio); Physiology; Carcinogen; Post hoc; Biology; Internal medicine; Cancer; Cancer research; Genetics","score_opus":0.00899935672212638,"score_gpt":0.23535798941663738,"score_spread":0.226358632694511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021445915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965403,0.0007688578,0.000022434939,0.00012802942,0.00016194698,0.0005514663,0.000037914928,0.00003343673,0.0017556093],"genre_scores_gemma":[0.9972575,0.00033641586,0.0005371102,0.00014071114,0.00017686513,0.00001994071,0.000018320188,0.00002688224,0.0014862834],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99879575,0.00006723549,0.00034457466,0.00021574122,0.0003480441,0.00022866568],"domain_scores_gemma":[0.99915594,0.00024015951,0.00014615641,0.00020499981,0.00011489194,0.00013783656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001125241,0.00018762088,0.00043562218,0.0001833847,0.000038036746,0.000004322462,0.00008782289,0.000109995366,0.0008291836],"category_scores_gemma":[0.00015691202,0.00013029356,0.00009541656,0.00015945299,0.00021717779,0.000068086534,0.000027385953,0.00014651292,0.000009714852],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013534349,0.002108428,0.07069147,0.00279962,0.00032765366,0.0003530516,0.04087006,0.000004957843,0.8089073,0.00022907366,0.0011564154,0.07119857],"study_design_scores_gemma":[0.0038087976,0.003627876,0.9517471,0.0007865846,0.00032051315,0.00008717387,0.0019715359,0.00014538257,0.03715256,0.000021593154,0.00014623353,0.00018464436],"about_ca_topic_score_codex":0.000063755986,"about_ca_topic_score_gemma":0.00000534309,"teacher_disagreement_score":0.88105565,"about_ca_system_score_codex":0.000016002412,"about_ca_system_score_gemma":0.000017457323,"threshold_uncertainty_score":0.90789795},"labels":[],"label_agreement":null},{"id":"W2023718290","doi":"10.1109/51.844378","title":"Functional infrared imaging of the breast","year":2000,"lang":"en","type":"review","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":167,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; St Mary's Hospital Centre","funders":"","keywords":"Mammography; Breast cancer; Breast imaging; Medical physics; Medical imaging; Computer science; Breast cancer screening; Medicine; Cancer; Artificial intelligence; Internal medicine","score_opus":0.032274709563436386,"score_gpt":0.2950099889256943,"score_spread":0.26273527936225793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023718290","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040575748,0.9956846,0.00006256372,0.0003816564,0.0010218489,0.00066355616,0.000036292928,0.000059180173,0.0016845037],"genre_scores_gemma":[0.0005498685,0.99714524,0.00013546168,0.00027176,0.0011596879,0.000056895078,0.00013188418,0.00006367798,0.0004855488],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978983,0.00009324659,0.0009918665,0.00042383926,0.0002005443,0.0003922312],"domain_scores_gemma":[0.99870527,0.00032784432,0.00023766495,0.0005363315,0.00007217843,0.000120688484],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048576336,0.0005159276,0.0021829768,0.0008512894,0.000031609496,0.0000025691668,0.00022002577,0.0003633783,0.00032272117],"category_scores_gemma":[0.00018182922,0.0002868764,0.00027355194,0.0009931715,0.0005663151,0.000030208144,0.00005201453,0.0010691354,0.000010060368],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010738659,0.000119082,0.00486422,0.018894378,0.0005430997,0.00010584139,0.00016841192,0.0000237506,0.00034991617,0.00020898317,0.015627809,0.9589871],"study_design_scores_gemma":[0.002452059,0.00024938467,0.007042078,0.041396856,0.0012940816,0.004105787,0.0000131615525,0.00011457585,0.000004082651,0.00007779101,0.94289047,0.0003596797],"about_ca_topic_score_codex":0.0000134969505,"about_ca_topic_score_gemma":9.363767e-7,"teacher_disagreement_score":0.95862746,"about_ca_system_score_codex":0.00006129036,"about_ca_system_score_gemma":0.00014538091,"threshold_uncertainty_score":0.99995834},"labels":[],"label_agreement":null},{"id":"W2023976182","doi":"10.1117/12.432478","title":"&lt;title&gt;Near-infrared spectroscopic approach to assess tissue viability following a thermal injury&lt;/title&gt;","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Dermis; Burn injury; Thermal burn; Infrared; Biomedical engineering; Blood supply; Near-infrared spectroscopy; Perfusion; Hemodynamics; Materials science; Optical imaging; Medicine; Pathology; Surgery; Radiology; Anesthesia; Optics; Biology; Neuroscience","score_opus":0.013912874410213017,"score_gpt":0.26098264123639653,"score_spread":0.2470697668261835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023976182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8561915,0.00009232917,0.000095371244,0.0008799434,0.00034219926,0.0006553114,0.00001741768,0.00010379281,0.14162214],"genre_scores_gemma":[0.78427875,0.00006654014,0.20847054,0.0005133911,0.0014912676,0.00024034099,0.000030590174,0.00015123485,0.0047573294],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980758,3.7589874e-8,0.00047426016,0.00035204206,0.0007163751,0.0003815003],"domain_scores_gemma":[0.99887526,0.000061895866,0.00014961016,0.00010178242,0.00064229936,0.00016916252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005323344,0.0002693553,0.0004383593,0.00011491906,0.00006651701,0.000058661568,0.0005028732,0.00019325469,0.00025834487],"category_scores_gemma":[0.00047388353,0.00021902256,0.0004833221,0.0004557995,0.0001611223,0.00017045013,0.00010657206,0.0003337088,0.000041283303],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001520838,0.0002521244,0.0011538105,0.00049016054,0.00058105134,8.6015706e-7,0.00028006837,0.000012010902,0.825762,0.14924285,0.02095652,0.0011164913],"study_design_scores_gemma":[0.007869417,0.003915624,0.02472097,0.0026800027,0.0021321254,0.00021440443,0.0018605904,0.032194033,0.37490845,0.0063931444,0.5404608,0.0026504032],"about_ca_topic_score_codex":0.000002305173,"about_ca_topic_score_gemma":2.0144057e-8,"teacher_disagreement_score":0.5195043,"about_ca_system_score_codex":0.00016866832,"about_ca_system_score_gemma":0.0000547708,"threshold_uncertainty_score":0.8931481},"labels":[],"label_agreement":null},{"id":"W2024095456","doi":"10.1139/y07-014","title":"Visualization and grading of regional ischemia in pigs in vivo using near-infrared and thermal imagingThis paper is one of a selection of papers published in this Special Issue, entitled The Cellular and Molecular Basis of Cardiovascular Dysfunction, Dhalla 70th Birthday Tribute.","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"National Research Council Institute for Biodiagnostics","funders":"Canadian Institutes of Health Research; Genomic Health","keywords":"Visualization; In vivo; Grading (engineering); Ischemia; Selection (genetic algorithm); Computer science; Computational biology; Biology; Chemistry; Medicine; Artificial intelligence; Internal medicine; Genetics; Ecology","score_opus":0.008792677900926337,"score_gpt":0.24629413456204788,"score_spread":0.23750145666112155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024095456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961025,0.0031072989,0.000029454175,0.00026335567,0.00013618844,0.00018792783,0.0000073111105,8.4366275e-7,0.00016510973],"genre_scores_gemma":[0.99890953,0.0004944601,0.00012905084,0.00027802374,0.00016792832,0.0000013262165,0.000003671885,0.000009787157,0.00000622948],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987507,0.00021988874,0.00056465104,0.00014840165,0.00012455689,0.00019183659],"domain_scores_gemma":[0.99917823,0.00012129535,0.00032461158,0.00007027089,0.00019425519,0.0001113541],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001061255,0.00011435724,0.0005838164,0.00063079904,0.000036520916,0.000002865351,0.000052179577,0.00014844042,0.0031189995],"category_scores_gemma":[0.0000777234,0.00009789694,0.00007288852,0.0004379821,0.0005619268,0.00010233721,0.000012694602,0.00028171268,1.9237536e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053457083,0.000042099375,0.056097917,0.00023462473,0.0003779814,0.000035614303,0.002827894,0.00005454054,0.939,0.0000306042,0.00030846137,0.00045568694],"study_design_scores_gemma":[0.0063785464,0.0004903958,0.11626165,0.0002767374,0.00053281366,0.00011793915,0.0007634724,0.0007594907,0.8727317,0.0003137294,0.0012481742,0.00012538879],"about_ca_topic_score_codex":0.0019353493,"about_ca_topic_score_gemma":0.00033773546,"teacher_disagreement_score":0.06626835,"about_ca_system_score_codex":0.000050624625,"about_ca_system_score_gemma":0.0002537107,"threshold_uncertainty_score":0.9977923},"labels":[],"label_agreement":null},{"id":"W2024928866","doi":"10.1097/00005768-200305001-01988","title":"THE EFFECTS OF CETYLATED FATTY ACID CREAM ON PAIN, RANGE OF MOTION, AND QUALITY OF LIFE OF PATIENTS WITH OSTEOARTHRITIS","year":2003,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Osteoarthritis; Supine position; Medicine; WOMAC; Range of motion; Placebo; Physical therapy; Quality of life (healthcare); Internal medicine","score_opus":0.007887588752397166,"score_gpt":0.24452510016912032,"score_spread":0.23663751141672315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024928866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969262,0.0008573876,0.00004936741,0.000090763024,0.00021916718,0.0012648281,0.000006738617,0.000011367519,0.0005742004],"genre_scores_gemma":[0.9992184,0.0004034488,0.00020363685,0.000103229766,0.000016356125,0.000022382532,0.0000063900366,0.000014837087,0.000011342432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961601,0.000185561,0.0011810316,0.0003512666,0.0017875773,0.0003344779],"domain_scores_gemma":[0.9967318,0.00057254714,0.0008458854,0.0007001555,0.0009343861,0.00021523504],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0052283616,0.00022106366,0.0010767761,0.00048337932,0.00007648392,0.000001965142,0.00022340666,0.00008097944,0.000048569156],"category_scores_gemma":[0.005684861,0.00012728835,0.00006177468,0.0017987507,0.00432306,0.000101134465,0.000027920709,0.00021602986,1.2331567e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083616393,0.0005299252,0.9546697,0.0007479261,0.0000034869881,0.00000852907,0.002107205,0.0000023634998,0.0035203365,0.000054624375,0.000023407518,0.037496325],"study_design_scores_gemma":[0.006345977,0.004285732,0.9769182,0.0039810017,0.000087490545,0.0000018952448,0.0010248927,0.0000050860554,0.00713336,0.000106294545,0.000011650817,0.00009837388],"about_ca_topic_score_codex":0.00018911157,"about_ca_topic_score_gemma":0.000014610174,"teacher_disagreement_score":0.03739795,"about_ca_system_score_codex":0.000028970984,"about_ca_system_score_gemma":0.0001759085,"threshold_uncertainty_score":0.9983866},"labels":[],"label_agreement":null},{"id":"W2024933401","doi":"10.1016/s0735-1097(13)60830-x","title":"MID-WALL STRIAE PATTERN ON LATE GADOLINIUM ENHANCEMENT IMAGING PREDICTS FUTURE CARDIOVASCULAR EVENTS IN PATIENTS WITH SYSTOLIC DYSFUNCTION","year":2013,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; London Health Sciences Centre","funders":"","keywords":"Medicine; Cardiology; Gadolinium; Internal medicine; Radiology","score_opus":0.004342894019511968,"score_gpt":0.20597804976711803,"score_spread":0.20163515574760607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024933401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99546057,0.0003711844,0.0004046391,0.0014648739,0.0011403315,0.00083890476,0.000019393614,0.000007428614,0.00029269588],"genre_scores_gemma":[0.99814814,0.00014484924,0.000103979204,0.0007541828,0.0007593022,0.00001930179,0.0000044844337,0.000030227533,0.00003554738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973748,0.00050200016,0.00072727085,0.0002101702,0.0008505439,0.0003352286],"domain_scores_gemma":[0.9976865,0.00008199488,0.00097123213,0.0005799663,0.0005557349,0.00012458621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000636188,0.0002359105,0.0013549125,0.00040980862,0.00004386408,0.0000021567378,0.00026854736,0.00006385339,0.000017918825],"category_scores_gemma":[0.00008553988,0.00013697289,0.00057221303,0.00054379174,0.00026352474,0.000079828234,0.00004857244,0.0005509895,0.000003455785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022466255,0.00016257877,0.9836184,0.00008681706,0.002634479,0.00011893471,0.000114848495,0.0014700764,0.0007814136,0.0000026513358,0.0019142785,0.0068489094],"study_design_scores_gemma":[0.007019843,0.0029875184,0.9866673,0.000624289,0.00068418257,0.00024181536,0.0003593395,0.000038821297,0.0003720106,0.000025568484,0.00085496716,0.00012439527],"about_ca_topic_score_codex":0.000044568107,"about_ca_topic_score_gemma":0.0000013976882,"teacher_disagreement_score":0.006724514,"about_ca_system_score_codex":0.0002037464,"about_ca_system_score_gemma":0.00014571768,"threshold_uncertainty_score":0.55855924},"labels":[],"label_agreement":null},{"id":"W2025105478","doi":"10.1371/journal.pone.0027268","title":"Thermal Imaging of the Periorbital Regions during the Presentation of an Auditory Startle Stimulus","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Holland Bloorview Kids Rehabilitation Hospital","funders":"Bloorview Research Institute","keywords":"Stimulus (psychology); Startle response; Audiology; Moro reflex; Stimulus modality; Thermography; Auditory system; Eye movement; Startle reaction; Reflex; Psychology; Medicine; Neuroscience; Cognitive psychology; Physics; Sensory system; Infrared","score_opus":0.03231506598883914,"score_gpt":0.23743987383868642,"score_spread":0.20512480784984727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025105478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948389,0.00014114894,0.000010483099,0.00028248757,0.000100483376,0.00042524765,0.0000081982935,0.00002719123,0.0041658524],"genre_scores_gemma":[0.99889743,0.000008279473,0.00055112893,0.00006836255,0.00026396982,0.000017260681,0.000003373504,0.000019693696,0.00017051632],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990091,0.00008227207,0.00022674615,0.00011204295,0.00042590304,0.00014397969],"domain_scores_gemma":[0.9990683,0.00004521648,0.00015773828,0.0005302858,0.00015311147,0.000045320336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016682904,0.00008557626,0.00018031483,0.00006554268,0.00008693345,0.0000023720372,0.00018120332,0.000029764504,0.00021184706],"category_scores_gemma":[0.000099310615,0.00004912668,0.000075256554,0.00016514218,0.00037977606,0.000091166345,0.00004790837,0.00018681849,0.0000023181901],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023861667,0.00092360564,0.11642091,0.00020792511,0.00023655873,0.000009792337,0.011688053,0.000005369237,0.8699988,0.00007050707,0.000041775285,0.00015807073],"study_design_scores_gemma":[0.00074060715,0.00014188718,0.6449607,0.00029850498,0.0002829061,0.000006347963,0.001774668,0.00027211543,0.35139036,0.00008124181,0.0000026852226,0.000047990623],"about_ca_topic_score_codex":0.00009969083,"about_ca_topic_score_gemma":0.0000056436643,"teacher_disagreement_score":0.5285398,"about_ca_system_score_codex":0.000018706838,"about_ca_system_score_gemma":0.000046019275,"threshold_uncertainty_score":0.23195767},"labels":[],"label_agreement":null},{"id":"W2026142114","doi":"10.1016/j.jmpt.2005.12.004","title":"Validity of Infrared Thermal Measurements of Segmental Paraspinal Skin Surface Temperature","year":2006,"lang":"en","type":"article","venue":"Journal of Manipulative and Physiological Therapeutics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec à Trois-Rivières","funders":"Fondation Chiropratique du Québec","keywords":"Medicine; Lumbar; Thermography; Skin temperature; Interchangeability; Physical therapy; Nuclear medicine; Surgery; Infrared; Biomedical engineering","score_opus":0.25686131357738257,"score_gpt":0.3551975640685182,"score_spread":0.09833625049113565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026142114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99799806,0.0009552914,0.00005717499,0.00006372476,0.00009626317,0.00018127318,0.0000102952845,0.0000054896846,0.00063243485],"genre_scores_gemma":[0.9978976,0.00011533668,0.0014931198,0.00021070235,0.00022900579,5.8173345e-7,0.000009345792,0.000011705619,0.000032556785],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998255,0.00023660285,0.0006971345,0.00012409102,0.0005139783,0.00017317358],"domain_scores_gemma":[0.9985694,0.00011292884,0.0006716966,0.00014138212,0.00043790764,0.000066630084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048220373,0.00019401191,0.0006925859,0.000075121476,0.00004267329,0.0000047528592,0.00011506257,0.00015930913,0.0000751803],"category_scores_gemma":[0.00002403522,0.00011825815,0.00024017811,0.00019183164,0.00031685634,0.00007061746,0.000028950919,0.0003805527,3.5995654e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001205968,0.00050969,0.13522038,0.000074527255,0.000314147,0.0000134213715,0.00020265138,0.00020422702,0.8617787,0.00007608604,0.00007077209,0.00032946304],"study_design_scores_gemma":[0.0020521826,0.0032306782,0.7939006,0.00020456602,0.00025643437,0.000046172412,0.00017335436,0.000044928805,0.19783336,0.0021140184,0.00004160291,0.00010208596],"about_ca_topic_score_codex":0.00000672661,"about_ca_topic_score_gemma":2.2495087e-7,"teacher_disagreement_score":0.6639453,"about_ca_system_score_codex":0.000026657897,"about_ca_system_score_gemma":0.000041450967,"threshold_uncertainty_score":0.48224273},"labels":[],"label_agreement":null},{"id":"W2026324267","doi":"10.1097/00005768-200405001-01509","title":"Oscillatory Properties of Skin Sympathetic Nerve Activity in Heat Stressed Humans","year":2004,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Crandall University","funders":"","keywords":"Microneurography; Thermoregulation; Blood pressure; Medicine; Internal medicine; Sympathetic nervous system; Vasodilation; Forearm; Vasoconstriction; Heart rate; Cardiology; Anesthesia; Anatomy; Baroreflex","score_opus":0.016760752592351588,"score_gpt":0.26421456795209286,"score_spread":0.24745381535974126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026324267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951341,0.0005961923,0.000010230002,0.0009974889,0.00050608075,0.001145522,0.0000018775122,0.000063502564,0.0015450179],"genre_scores_gemma":[0.99908036,0.0003089966,0.00013553581,0.00017940091,0.00012216975,0.000062559935,0.0000028626534,0.000032118973,0.00007596997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99555784,0.000041218467,0.00090006646,0.0007374546,0.001968763,0.0007946583],"domain_scores_gemma":[0.9982478,0.000031503725,0.00019863223,0.0009431603,0.00025710103,0.00032182437],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0024985888,0.00036802387,0.00111739,0.0017743371,0.00011213742,0.000008789071,0.00047845725,0.00013642856,0.000116820374],"category_scores_gemma":[0.00028784183,0.00025994054,0.00010567601,0.003075526,0.0038661703,0.0003519701,0.00009474679,0.0005715966,0.000004327097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039471572,0.0009966088,0.74213856,0.0004970974,0.0000018112218,0.0010138896,0.019724213,0.0005599827,0.21895362,0.000055796154,0.000026344349,0.015637359],"study_design_scores_gemma":[0.0041125915,0.00060212624,0.955207,0.0093512,0.000076706754,0.000052351952,0.0037324263,0.000121462006,0.026034474,0.00039759447,0.00003896135,0.00027313526],"about_ca_topic_score_codex":0.0022817026,"about_ca_topic_score_gemma":0.00014187329,"teacher_disagreement_score":0.21306841,"about_ca_system_score_codex":0.00040666253,"about_ca_system_score_gemma":0.00076817913,"threshold_uncertainty_score":0.9999853},"labels":[],"label_agreement":null},{"id":"W2027083755","doi":"10.1117/12.763844","title":"Non-invasive detection of osteoporotic bone loss using photothermal radiometry and modulated luminescence","year":2008,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Radiometry; Photodiode; Laser; Optoelectronics; Photothermal therapy; Optics; Physics; Nanotechnology","score_opus":0.011025751701727168,"score_gpt":0.22565876048431993,"score_spread":0.21463300878259275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027083755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980081,0.0002303921,0.00006295454,0.00030357452,0.00018511612,0.00081533147,0.000021175478,0.000054276483,0.000319113],"genre_scores_gemma":[0.9665474,0.00018570275,0.032748755,0.000067675646,0.0002971342,0.000039938102,0.0000048216048,0.000061900886,0.000046670633],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976794,2.0114022e-8,0.0007977572,0.00036669182,0.0007906536,0.00036546504],"domain_scores_gemma":[0.99723184,0.000111744506,0.00051942945,0.00007599785,0.0018996707,0.0001613033],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045090605,0.00032572754,0.00066511566,0.00031075202,0.00009165405,0.000016755037,0.0003297848,0.0002409494,0.000010163541],"category_scores_gemma":[0.0006125761,0.0002739569,0.00049311784,0.0007473923,0.0007371016,0.00033163917,0.00009465825,0.00035306174,3.3418715e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035183525,0.00014932328,0.007046384,0.0013484787,0.0005593777,0.0000017457909,0.0005728091,0.000046281355,0.98680043,0.0028879384,0.00006849999,0.00016690581],"study_design_scores_gemma":[0.0030118274,0.0008471838,0.022469169,0.0011481532,0.00042054526,0.0006822883,0.0010974056,0.02862413,0.9412129,0.00014150148,0.0000376899,0.0003071997],"about_ca_topic_score_codex":0.000027648273,"about_ca_topic_score_gemma":8.551295e-8,"teacher_disagreement_score":0.045587514,"about_ca_system_score_codex":0.00014222914,"about_ca_system_score_gemma":0.00006087692,"threshold_uncertainty_score":0.9999713},"labels":[],"label_agreement":null},{"id":"W2028055609","doi":"10.1140/epjst/e2008-00485-5","title":"Dental biothermophotonics: A quantitative photothermal analysis of early dental demineralization","year":2008,"lang":"en","type":"article","venue":"The European Physical Journal Special Topics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Canadian Institute for Advanced Research","funders":"","keywords":"Demineralization; Enamel paint; Materials science; Dentin; Radiometry; Optics; Dentistry; Photothermal therapy; Thermal; Biomedical engineering; Composite material; Nanotechnology; Medicine","score_opus":0.0233030071686882,"score_gpt":0.288285367386524,"score_spread":0.2649823602178358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028055609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92190206,0.00009358054,0.00014505406,0.00008038085,0.0002660365,0.00017452541,0.000013354334,0.000021677073,0.07730335],"genre_scores_gemma":[0.9797633,0.00015800631,0.00046650265,0.00028333502,0.018819956,0.0000012216227,0.000014290766,0.000045424385,0.0004479564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815667,0.00036864413,0.00045059572,0.00016999026,0.0006062499,0.00024785398],"domain_scores_gemma":[0.99900043,0.000082551254,0.0003222096,0.00027454837,0.00017137977,0.00014888437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003558906,0.0001900443,0.00050211063,0.00026987394,0.00021778476,0.000018548471,0.00028110328,0.000036505433,0.0001901089],"category_scores_gemma":[0.000076627366,0.00012320516,0.00055062695,0.0010360715,0.0004573911,0.00009173621,0.00005358897,0.00046948282,0.000029415343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056329495,0.004496933,0.3977066,0.000113503374,0.019366609,0.005377163,0.084429346,0.0012080836,0.33301353,0.011603426,0.0064230473,0.1306288],"study_design_scores_gemma":[0.0030756178,0.001837782,0.97655815,0.00014583218,0.0034108309,0.00086689624,0.0011748683,0.0011484505,0.006732419,0.0005969658,0.0040714466,0.00038075738],"about_ca_topic_score_codex":0.000022891978,"about_ca_topic_score_gemma":0.0000067327514,"teacher_disagreement_score":0.5788515,"about_ca_system_score_codex":0.000065563894,"about_ca_system_score_gemma":0.00004707833,"threshold_uncertainty_score":0.5024161},"labels":[],"label_agreement":null},{"id":"W2031539210","doi":"10.1111/jocn.12595","title":"The effects of topical heat therapy on chest pain in patients with acute coronary syndrome: a randomised double‐blind placebo‐controlled clinical trial","year":2014,"lang":"en","type":"article","venue":"Journal of Clinical Nursing","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Placebo; Analgesic; Acute coronary syndrome; Chest pain; Physical therapy; McGill Pain Questionnaire; Opioid; Randomized controlled trial; Anesthesia; Clinical trial; Internal medicine; Visual analogue scale; Myocardial infarction; Alternative medicine","score_opus":0.027748749772927878,"score_gpt":0.3778822596959597,"score_spread":0.3501335099230318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031539210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99131733,0.00021057804,0.00029440437,0.0019206512,0.002749063,0.00319616,5.118965e-7,0.000010840874,0.00030045593],"genre_scores_gemma":[0.9972245,0.00028199196,0.0005411725,0.000798359,0.0010676497,0.000023298948,0.0000025084562,0.00003446655,0.000026066245],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9916935,0.0028605957,0.003742788,0.00027396576,0.0010573826,0.00037175458],"domain_scores_gemma":[0.9751686,0.022320878,0.0013633587,0.00044452888,0.00033044931,0.00037222853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014954299,0.0002825381,0.0026599907,0.00020903235,0.00008958242,0.000019580777,0.00030103355,0.0003703687,0.000013658546],"category_scores_gemma":[0.008199754,0.00013828604,0.0010239116,0.00025304945,0.00075137033,0.00007526581,0.000013307344,0.001736324,0.0000012482465],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.85736483,0.003945891,0.06128049,0.000027188205,0.001015241,0.00017651224,0.000118503434,0.000003962017,0.000023743934,0.00003627814,0.00015274559,0.075854614],"study_design_scores_gemma":[0.6190073,0.06927171,0.30889544,0.0018596376,0.00047571913,0.00004878927,0.00002507854,0.00007511609,0.00002281683,0.00016178287,0.000067385066,0.000089247245],"about_ca_topic_score_codex":0.0000014917827,"about_ca_topic_score_gemma":7.5350454e-7,"teacher_disagreement_score":0.24761496,"about_ca_system_score_codex":0.000065735825,"about_ca_system_score_gemma":0.00025863046,"threshold_uncertainty_score":0.98164636},"labels":[],"label_agreement":null},{"id":"W2032980140","doi":"10.1097/00002060-200009000-00004","title":"Physiologic and Functional Responses of MS Patients to Body Cooling","year":2000,"lang":"en","type":"article","venue":"American Journal of Physical Medicine & Rehabilitation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"VEST; Medicine; Thermal sensation; Skin temperature; Rectal temperature; Ambulatory; Heart rate; Audiology; Physical therapy; Surgery; Biomedical engineering; Anesthesia; Internal medicine; Thermal comfort","score_opus":0.006695039930520589,"score_gpt":0.2809232120497645,"score_spread":0.27422817211924394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032980140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99727416,0.000078242,0.00009814432,0.001897375,0.000103700375,0.00027346687,0.000004635981,0.0000124296475,0.0002578566],"genre_scores_gemma":[0.9964644,0.000007374447,0.0019996017,0.0007845174,0.00068592856,0.0000067184415,0.0000072026332,0.000017159697,0.000027108821],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980337,0.0002110179,0.00065773516,0.00019216527,0.0007195489,0.00018582409],"domain_scores_gemma":[0.99668676,0.0017103573,0.0004104284,0.00019130185,0.00073788373,0.00026326583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005084837,0.00016891459,0.0007892561,0.00037868405,0.000042757827,0.0000022505603,0.00007280331,0.000028460516,0.00016458739],"category_scores_gemma":[0.0023406947,0.00011270099,0.00015032398,0.00069450017,0.0010757903,0.00009946341,0.000012255238,0.00026656897,0.0000048244406],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0134155275,0.0010549,0.05629698,0.00015065583,0.00020130468,0.000010037803,0.007972941,0.00014652724,0.0865263,0.00024455786,0.00065377844,0.8333265],"study_design_scores_gemma":[0.0024562252,0.12719402,0.8660001,0.0007675742,0.0002033843,0.000026112139,0.0015468898,0.00007787943,0.00024730962,0.00084917276,0.0005322546,0.00009903608],"about_ca_topic_score_codex":0.000035919205,"about_ca_topic_score_gemma":2.2277881e-7,"teacher_disagreement_score":0.83322746,"about_ca_system_score_codex":0.00005304866,"about_ca_system_score_gemma":0.00006652314,"threshold_uncertainty_score":0.4595813},"labels":[],"label_agreement":null},{"id":"W2034773241","doi":"10.1117/12.874552","title":"Detection of rheumatoid arthritis using infrared imaging","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rheumatoid arthritis; Medicine; Magnetic resonance imaging; Arthritis; Nuclear medicine; Analysis of variance; Internal medicine; Radiology","score_opus":0.01347143226984559,"score_gpt":0.2284042822946558,"score_spread":0.21493285002481022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034773241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936578,0.00044517976,0.00016078578,0.00026785003,0.00032269853,0.0006350899,0.000025713498,0.00009511797,0.004389747],"genre_scores_gemma":[0.88574106,0.00039142647,0.11331838,0.00009905732,0.0002669447,0.00006287343,0.0000053121043,0.000077338555,0.000037612033],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974514,1.9245652e-8,0.0009915894,0.0003530357,0.00079667143,0.00040723773],"domain_scores_gemma":[0.9967282,0.00008057279,0.00061622716,0.000090282425,0.0023320434,0.00015269533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000684898,0.0003273312,0.0006297712,0.00027092666,0.000074417134,0.00002575283,0.0005087214,0.00018859895,0.000037107817],"category_scores_gemma":[0.00069747557,0.00028318036,0.0007683637,0.00053168816,0.00044989938,0.00044710166,0.00012037724,0.00039410652,7.8939513e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003226579,0.00017962215,0.0038151368,0.00058873673,0.0006034732,4.6491513e-7,0.0008033722,0.0000073104193,0.9340927,0.05774316,0.00032290476,0.0015204352],"study_design_scores_gemma":[0.003272556,0.00067983393,0.007437881,0.0022391416,0.00025534251,0.00022291263,0.0034279895,0.015844036,0.9626221,0.0028014425,0.00078114646,0.00041562546],"about_ca_topic_score_codex":0.000034111985,"about_ca_topic_score_gemma":1.044038e-7,"teacher_disagreement_score":0.1131576,"about_ca_system_score_codex":0.00014011143,"about_ca_system_score_gemma":0.000051705254,"threshold_uncertainty_score":0.99996203},"labels":[],"label_agreement":null},{"id":"W2034914135","doi":"10.1117/12.908659","title":"Bone-demineralization diagnosis in a bone-tissue-skin matrix using the pulsed-chirped photothermal radar","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Demineralization; Materials science; Photothermal therapy; Biomedical engineering; Matrix (chemical analysis); Radar; Medicine; Computer science; Composite material; Nanotechnology","score_opus":0.013440235833932413,"score_gpt":0.2665036726236693,"score_spread":0.2530634367897369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034914135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993309,0.0009453117,0.000049233622,0.0028139008,0.00035591377,0.0013138582,0.000032662807,0.00008215155,0.0010979733],"genre_scores_gemma":[0.93986934,0.00025359556,0.057603005,0.0003896669,0.001253824,0.00032453513,0.000017953627,0.00012470546,0.00016338385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99686164,7.327043e-8,0.0010401586,0.00036252892,0.0010429184,0.0006926847],"domain_scores_gemma":[0.9979306,0.00021735512,0.00052930956,0.00011250557,0.0010142743,0.00019597281],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014252827,0.00042365066,0.00067577005,0.0002684276,0.00011072416,0.000061660205,0.0005767596,0.00029483464,0.000057280224],"category_scores_gemma":[0.0008949711,0.00030437854,0.0006299752,0.0008079092,0.00034743955,0.0006209597,0.00014312708,0.00057191774,0.0000015971157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034428915,0.00040212908,0.014899349,0.0008069502,0.00048021687,7.672211e-7,0.0015513191,0.000112780224,0.8903543,0.08817953,0.0023607765,0.000507636],"study_design_scores_gemma":[0.012265317,0.001444299,0.03713205,0.004152307,0.0021918318,0.0006521147,0.010732516,0.05868236,0.8504937,0.0018052247,0.018631568,0.0018166535],"about_ca_topic_score_codex":0.00006118528,"about_ca_topic_score_gemma":3.2247578e-7,"teacher_disagreement_score":0.086374305,"about_ca_system_score_codex":0.000276369,"about_ca_system_score_gemma":0.000047475132,"threshold_uncertainty_score":0.9999408},"labels":[],"label_agreement":null},{"id":"W2035069328","doi":"10.1117/12.778680","title":"Using lock-in infrared thermography for the visualization of the hand vascular tree","year":2008,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Thermography; Infrared; Waveform; Biomedical engineering; Arterial tree; Vein; Materials science; Computer science; Artificial intelligence; Optics; Medicine; Physics; Surgery; Telecommunications; Cardiology","score_opus":0.01827426566474004,"score_gpt":0.2540585401718981,"score_spread":0.23578427450715805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035069328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99536806,0.00047389683,0.0003289999,0.0010658714,0.00025173,0.0015883261,0.000029682264,0.00003491607,0.000858516],"genre_scores_gemma":[0.9705229,0.00026138226,0.028128102,0.0002320869,0.0004503966,0.00020793964,0.000008514374,0.00008704511,0.000101672355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99751425,5.5935438e-8,0.0008531867,0.00031499515,0.00094216503,0.0003753766],"domain_scores_gemma":[0.9971575,0.0002382025,0.00051014894,0.00012746366,0.0018870317,0.00007966491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085215695,0.0003100742,0.0005431988,0.00020142809,0.00017759764,0.00002982034,0.0008031255,0.00021575837,0.000009726508],"category_scores_gemma":[0.0009020978,0.00018774276,0.0011794039,0.0009437992,0.00079608324,0.00023439091,0.00011468093,0.00031782416,1.35188e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004131377,0.00029094316,0.015439293,0.0010481311,0.0013426153,1.9803316e-7,0.0015829201,0.00033105005,0.8432089,0.13454957,0.0014792796,0.00031393435],"study_design_scores_gemma":[0.015107062,0.0018108523,0.13973166,0.004109149,0.0026177596,0.00017713786,0.006778195,0.1732301,0.6431227,0.005983849,0.0062254416,0.0011061023],"about_ca_topic_score_codex":0.0000194205,"about_ca_topic_score_gemma":3.0253491e-7,"teacher_disagreement_score":0.20008624,"about_ca_system_score_codex":0.00011313703,"about_ca_system_score_gemma":0.00007602496,"threshold_uncertainty_score":0.76559275},"labels":[],"label_agreement":null},{"id":"W2036215363","doi":"10.1097/01.phm.0000223232.32653.7f","title":"Three Types of Skin-Surface Thermometers","year":2006,"lang":"en","type":"article","venue":"American Journal of Physical Medicine & Rehabilitation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Thermistor; Intraclass correlation; Medicine; Skin temperature; Thermometer; Reliability (semiconductor); Infrared thermometer; Surgery; Intra-rater reliability; Anesthesia; Physical therapy; Biomedical engineering; Confidence interval; Internal medicine; Infrared; Psychometrics","score_opus":0.004687411895322538,"score_gpt":0.26678008623253124,"score_spread":0.26209267433720873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036215363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99275964,0.0003370622,0.0018074901,0.0033191359,0.00018270819,0.00025311217,0.0000025538893,0.000018593384,0.001319703],"genre_scores_gemma":[0.9914785,0.0000028190364,0.0071991086,0.00019552161,0.0010731366,0.0000025608722,0.000004864778,0.000030380737,0.000013090691],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976756,0.00012288343,0.0008465777,0.00017697619,0.0009536264,0.00022433128],"domain_scores_gemma":[0.9961921,0.00159375,0.00096335675,0.00031273894,0.00078893977,0.00014910514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006725982,0.0002037096,0.0010254937,0.00034145496,0.000029173916,0.000002461076,0.00015755657,0.000036299047,0.000057201774],"category_scores_gemma":[0.00078638823,0.00013330946,0.00033553224,0.0010088801,0.0017802191,0.00010692802,0.000013843688,0.00034011604,0.00000419586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020920064,0.0014040598,0.063997686,0.00034962248,0.0004894753,0.000043203927,0.0066309674,0.0007577231,0.24677223,0.0041819476,0.0014623014,0.6718188],"study_design_scores_gemma":[0.005851554,0.19423218,0.76419383,0.0021471423,0.0011959143,0.0001628376,0.0060078297,0.000705785,0.0034171059,0.020789664,0.0009710526,0.0003251139],"about_ca_topic_score_codex":0.00028844096,"about_ca_topic_score_gemma":0.000003910403,"teacher_disagreement_score":0.70019615,"about_ca_system_score_codex":0.00007764129,"about_ca_system_score_gemma":0.00009225798,"threshold_uncertainty_score":0.65592915},"labels":[],"label_agreement":null},{"id":"W2037791937","doi":"10.1007/s10508-009-9496-4","title":"An Evaluation of the Validity of Thermography as a Physiological Measure of Sexual Arousal in a Non-University Adult Sample","year":2009,"lang":"en","type":"article","venue":"Archives of Sexual Behavior","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Sexual arousal; Arousal; Psychology; Thermography; Sex organ; Anxiety; Developmental psychology; Clinical psychology; Audiology; Medicine; Social psychology; Psychiatry; Optics","score_opus":0.04723705208413766,"score_gpt":0.31737358674024013,"score_spread":0.2701365346561025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037791937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984676,0.000030161631,0.00007790351,0.00004842787,0.000042995598,0.00087426376,0.00013690151,0.000012022521,0.00030969942],"genre_scores_gemma":[0.9987678,0.0000068059558,0.001096286,0.000033824675,0.000032121265,0.0000056394015,0.00004420587,0.000009353484,0.000003983253],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99777305,0.00045994096,0.00045928464,0.00027352964,0.00083732273,0.00019688305],"domain_scores_gemma":[0.998414,0.00019930038,0.00037947178,0.0006191974,0.0003086245,0.00007943063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058930006,0.00017070027,0.00054601394,0.00031401697,0.000033005486,9.907907e-7,0.00034448763,0.0001068011,0.000045260756],"category_scores_gemma":[0.00028378973,0.00012293602,0.00012238063,0.0005185859,0.0007322668,0.0000656819,0.000043627562,0.00027237955,1.8353556e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066401646,0.0016452016,0.2691707,0.0000726267,0.000037520615,0.0000034618715,0.004071932,0.000027462298,0.70465535,0.00010336399,0.0000041481317,0.019544214],"study_design_scores_gemma":[0.0026097866,0.006076253,0.94334555,0.00016389586,0.0007144212,0.000005907585,0.004150974,0.0002282904,0.041982178,0.0006276114,4.020059e-7,0.000094705676],"about_ca_topic_score_codex":0.0006710457,"about_ca_topic_score_gemma":0.000042824802,"teacher_disagreement_score":0.6741749,"about_ca_system_score_codex":0.000015478514,"about_ca_system_score_gemma":0.00014407824,"threshold_uncertainty_score":0.5013186},"labels":[],"label_agreement":null},{"id":"W2038646525","doi":"10.3109/17483107.2010.498075","title":"Client-centred development of an infrared thermal access switch for a young adult with severe spastic quadriplegic cerebral palsy","year":2010,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Centres of Excellence","keywords":"Thermography; Cerebral palsy; Infrared; Medicine; Audiology; Psychology; Physical medicine and rehabilitation","score_opus":0.011289183398479985,"score_gpt":0.2808259996013264,"score_spread":0.2695368162028464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038646525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942702,0.000024468367,0.0009220473,0.0021360226,0.00018040171,0.0018968241,0.00004587229,0.00017769772,0.00034647924],"genre_scores_gemma":[0.9426169,0.0000010775829,0.056680556,0.000079109705,0.000047285965,0.0004223124,0.00010593946,0.000026878324,0.000019956988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980235,0.00008173648,0.0006460082,0.00060566404,0.00029090224,0.00035215242],"domain_scores_gemma":[0.9975276,0.00067594013,0.00028154222,0.0005994666,0.00076507527,0.00015039335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004015571,0.0002744645,0.0005630901,0.00028039588,0.00018489569,0.00001578259,0.00020994208,0.00036557627,0.00007349265],"category_scores_gemma":[0.002364273,0.00020305255,0.00009351761,0.0005876144,0.0023730479,0.00019154194,0.000069713285,0.00042557658,0.000001182471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018590752,0.0010753311,0.96671987,0.0006942539,0.00012616314,0.0000016305468,0.0018390116,0.0000027440974,0.006196251,0.0026979921,0.00001973308,0.018767934],"study_design_scores_gemma":[0.0047272183,0.0018465787,0.9831857,0.00020244467,0.00013569926,0.000047275666,0.005688245,0.00019359455,0.0018185192,0.0018244807,0.00008948775,0.00024072017],"about_ca_topic_score_codex":0.00003086971,"about_ca_topic_score_gemma":0.00062733487,"teacher_disagreement_score":0.055758506,"about_ca_system_score_codex":0.000080075406,"about_ca_system_score_gemma":0.00023087382,"threshold_uncertainty_score":0.87435937},"labels":[],"label_agreement":null},{"id":"W2041957659","doi":"10.1016/j.apergo.2013.01.008","title":"Head-and-face shape variations of U.S. civilian workers","year":2013,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Institutes of Health","keywords":"Computer science; Head (geology); Face (sociological concept); Artificial intelligence; Principal component analysis; SAFER; Process (computing); Set (abstract data type); Computer vision; Engineering drawing; Simulation; Pattern recognition (psychology); Engineering; Computer security","score_opus":0.010177893012508467,"score_gpt":0.24115906045752764,"score_spread":0.23098116744501918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041957659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96928626,0.00015552735,0.00077366154,0.0008138206,0.00012009641,0.0006730681,0.00000646706,0.00006584689,0.028105253],"genre_scores_gemma":[0.9894594,0.000082033934,0.009253948,0.00076212815,0.00012462538,0.00007397663,0.000026537844,0.000029840747,0.00018753586],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99912345,0.000008980531,0.0003224096,0.00021005615,0.000110968336,0.0002241318],"domain_scores_gemma":[0.99923325,0.0000885221,0.00011168773,0.0003598439,0.00005371925,0.00015299018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013854794,0.0001441026,0.00031592138,0.00013861562,0.00004830776,0.000009443964,0.00009392237,0.000113936636,0.00055590924],"category_scores_gemma":[0.000024992907,0.0001331859,0.000059836668,0.00020343618,0.00016602554,0.000046272387,0.00004187708,0.00018511024,0.00009209252],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019465849,0.0010993722,0.16794822,0.0008815551,0.0020683755,0.000012828171,0.01051962,0.00037054147,0.18090424,0.1614078,0.030711042,0.44212982],"study_design_scores_gemma":[0.004728195,0.0003204126,0.97247994,0.00018279525,0.00035462252,0.000032374417,0.002137662,0.0031260417,0.0043328204,0.0055449624,0.0063030603,0.0004571043],"about_ca_topic_score_codex":0.00009822638,"about_ca_topic_score_gemma":0.0000055403857,"teacher_disagreement_score":0.80453175,"about_ca_system_score_codex":0.000038370137,"about_ca_system_score_gemma":0.00005593453,"threshold_uncertainty_score":0.6086816},"labels":[],"label_agreement":null},{"id":"W2042561122","doi":"10.1016/s0895-7061(00)00617-8","title":"Spectral analysis of blood pressure variability before and after exercise during angiotensin antagonism","year":2000,"lang":"en","type":"article","venue":"American Journal of Hypertension","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Medicine; Blood pressure; Placebo; Internal medicine; Balance (ability); Analysis of variance; Heart rate variability; Endocrinology; Crossover study; Diastole; Cardiology; Heart rate; Physical therapy","score_opus":0.004353013825650745,"score_gpt":0.2116952348802263,"score_spread":0.20734222105457556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042561122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99783766,0.0013235717,0.000010235962,0.00056403317,0.000055609198,0.00012868314,0.0000105275185,0.00001190348,0.00005779399],"genre_scores_gemma":[0.9958736,0.0005440442,0.0031301149,0.00023782538,0.00014799596,9.578084e-7,0.0000039067186,0.000019468045,0.000042101175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842393,0.00009183475,0.00060383836,0.0002116238,0.0004336129,0.00023516962],"domain_scores_gemma":[0.99871695,0.00005626929,0.0003454745,0.00033750542,0.00032407322,0.00021973367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041397693,0.00017863745,0.00115433,0.00053646293,0.00004258773,0.000006419817,0.00008046321,0.000060864444,0.0002964445],"category_scores_gemma":[0.00006966345,0.00012593751,0.0003753564,0.0009447534,0.0004816087,0.00010994208,0.00001856617,0.000306809,6.0947826e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00842971,0.0010738433,0.68719393,0.00016855441,0.012189829,0.0033121398,0.0030716863,0.0002034142,0.21927807,0.0000074359205,0.000054387747,0.065017015],"study_design_scores_gemma":[0.0016814852,0.0015589895,0.9581788,0.00031487233,0.027838448,0.00199143,0.00021223737,0.0002008829,0.0078101726,0.00004767073,0.00004836782,0.00011660373],"about_ca_topic_score_codex":0.000061424325,"about_ca_topic_score_gemma":0.0000020586306,"teacher_disagreement_score":0.27098492,"about_ca_system_score_codex":0.000009449242,"about_ca_system_score_gemma":0.00004337619,"threshold_uncertainty_score":0.51355827},"labels":[],"label_agreement":null},{"id":"W2044293176","doi":"10.1364/boe.2.001664","title":"Critical comparison of diffuse reflectance spectroscopy and colorimetry as dermatological diagnostic tools for acanthosis nigricans: a chemometric approach","year":2011,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Acanthosis nigricans; Colorimetry; Diffuse reflectance infrared fourier transform; Dermatology; Dermatopathology; Reflectivity; Optics; Spectroscopy; Medicine; Materials science; Pathology; Chemistry; Physics","score_opus":0.0689969135770967,"score_gpt":0.3580357899332594,"score_spread":0.2890388763561627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044293176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9359959,0.0030099216,0.052714724,0.0005525031,0.00035664556,0.0013689969,0.000084043546,0.00013486465,0.0057824375],"genre_scores_gemma":[0.8368999,0.00034529,0.16190886,0.00035529866,0.00019035683,0.00020346578,0.000047696365,0.000035843597,0.000013297024],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99709684,0.000086407315,0.0008420157,0.0005535919,0.00077129906,0.0006498197],"domain_scores_gemma":[0.9933135,0.005065162,0.0001927054,0.00047312377,0.00028515593,0.00067034585],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004057465,0.000328432,0.0011568447,0.0005537184,0.00010005039,0.000026155376,0.00032436094,0.00046320196,0.0000928681],"category_scores_gemma":[0.018448465,0.00025390118,0.00017529364,0.0012348901,0.0018616038,0.00011556166,0.00012575273,0.0004927962,0.0000046180644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010053739,0.04138805,0.151462,0.010585395,0.0019457514,0.0007579926,0.011232185,6.601418e-7,0.6502749,0.08727007,0.0157978,0.019231454],"study_design_scores_gemma":[0.031765163,0.027783308,0.100959904,0.0030603216,0.004641304,0.00161524,0.008649431,0.007813668,0.79402393,0.009831041,0.0071177776,0.0027388886],"about_ca_topic_score_codex":0.000010290702,"about_ca_topic_score_gemma":1.1561204e-7,"teacher_disagreement_score":0.14374906,"about_ca_system_score_codex":0.000053023625,"about_ca_system_score_gemma":0.00010537174,"threshold_uncertainty_score":0.9999913},"labels":[],"label_agreement":null},{"id":"W2047247840","doi":"10.1016/j.clinph.2011.08.013","title":"Increased baseline temperature improves the acquisition of contact heat evoked potentials after spinal cord injury","year":2011,"lang":"en","type":"article","venue":"Clinical Neurophysiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"","keywords":"Stimulus (psychology); Stimulation; Spinal cord; Evoked potential; Spinal cord injury; Sensation; Audiology; Medicine; Psychology; Internal medicine; Neuroscience; Psychiatry","score_opus":0.028094551312067412,"score_gpt":0.33124028282211204,"score_spread":0.30314573151004465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047247840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971785,0.00021108639,0.000020705278,0.0006265561,0.0010490753,0.0005887395,0.000043934055,0.000059882008,0.00022150361],"genre_scores_gemma":[0.9860106,0.00019847775,0.00027748587,0.012268555,0.0010839298,0.00003783965,0.000049333663,0.00003827747,0.00003549776],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99695224,0.00094261003,0.001065648,0.00048407153,0.00022014494,0.00033530383],"domain_scores_gemma":[0.99789447,0.00048791006,0.00022739897,0.0008737204,0.0003187779,0.00019772089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063889695,0.00026511843,0.0008747203,0.00011400627,0.00006404021,0.0000042825695,0.00025825086,0.0003239968,0.0006983415],"category_scores_gemma":[0.0009553583,0.00015775824,0.00044621056,0.00026156384,0.0008681826,0.000052433534,0.000106575695,0.0008092032,0.00004204897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.05103487,0.0005634042,0.0031274015,0.00007928291,0.00014758181,0.00016679936,0.000028398004,6.82172e-8,0.9413211,0.00008992844,0.00060104555,0.0028401355],"study_design_scores_gemma":[0.0021957662,0.027044667,0.9503337,0.00015464163,0.000409309,0.000057247413,0.000035850975,0.000030816376,0.018759392,0.0005813821,0.0002436038,0.00015360108],"about_ca_topic_score_codex":0.00005937849,"about_ca_topic_score_gemma":6.1248056e-7,"teacher_disagreement_score":0.9472063,"about_ca_system_score_codex":0.00000924462,"about_ca_system_score_gemma":0.00009084844,"threshold_uncertainty_score":0.764635},"labels":[],"label_agreement":null},{"id":"W2050963703","doi":"10.1111/j.1365-2702.2009.03070.x","title":"The effect of heat application on pain, stiffness, physical function and quality of life in patients with knee osteoarthritis","year":2010,"lang":"en","type":"article","venue":"Journal of Clinical Nursing","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hacettepe Üniversitesi; Sivas Cumhuriyet Üniversitesi; McMaster University","keywords":"Osteoarthritis; Physical therapy; Medicine; Quality of life (healthcare); Intervention (counseling); Knee pain; Physical medicine and rehabilitation; Alternative medicine; Nursing","score_opus":0.01147559701297852,"score_gpt":0.3414527484042719,"score_spread":0.3299771513912934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050963703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99848753,0.00008371784,0.00018170454,0.00046333316,0.00036835892,0.00031993238,0.0000014248188,0.0000033375316,0.00009066258],"genre_scores_gemma":[0.99937934,0.000007762633,0.00008661423,0.00010092827,0.00041023898,0.000002233102,0.0000021026037,0.000009889409,9.1384914e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99779755,0.00044016176,0.0010466786,0.00010439658,0.00050393207,0.00010726935],"domain_scores_gemma":[0.99590427,0.0028471616,0.0006588108,0.00019188313,0.000277588,0.0001202665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003424875,0.0000935183,0.0006699818,0.00008259431,0.000034860823,0.0000042314095,0.000055946723,0.000098618155,0.0000021871742],"category_scores_gemma":[0.0031509618,0.00005027566,0.00013195512,0.0001633778,0.00047456226,0.00005428699,0.0000053004806,0.0007475659,2.0287169e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014571026,0.00039839858,0.58578527,0.00005688181,0.000036336314,4.8377854e-7,0.00005654289,0.00000356136,0.001338711,0.00007955398,0.000015993499,0.39765722],"study_design_scores_gemma":[0.010866256,0.019760134,0.96750385,0.0010164286,0.0001119761,0.0000020473,0.00005564911,0.00006405061,0.00021613794,0.00033381896,0.000027139422,0.00004250966],"about_ca_topic_score_codex":0.0000060426646,"about_ca_topic_score_gemma":0.0000035242297,"teacher_disagreement_score":0.39761472,"about_ca_system_score_codex":0.000012161308,"about_ca_system_score_gemma":0.000046101144,"threshold_uncertainty_score":0.37722233},"labels":[],"label_agreement":null},{"id":"W2051023955","doi":"10.1080/03009740600906719","title":"Clinical study on the effect of infrared radiation of a tiled stove on patients with hand osteoarthritis","year":2006,"lang":"en","type":"article","venue":"Scandinavian Journal of Rheumatology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stove; Visual analogue scale; Physical therapy; Osteoarthritis; Grip strength; Crossover study; Physical medicine and rehabilitation","score_opus":0.0056620317522731115,"score_gpt":0.26352509282398506,"score_spread":0.257863061071712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051023955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978309,0.0001858988,0.000024494042,0.00013661258,0.00038808334,0.00082744984,0.00001372186,0.000005160336,0.0005876613],"genre_scores_gemma":[0.9998058,0.000017963643,0.00003650208,0.000042271382,0.000041121446,0.000007681146,0.000008757228,0.00002049386,0.000019415025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972888,0.00065682357,0.0011422528,0.00014928429,0.00056724047,0.00019556948],"domain_scores_gemma":[0.99679357,0.0011286418,0.0013368827,0.0003227202,0.000328483,0.00008969035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010973981,0.00018524764,0.001085719,0.0003772907,0.00005868547,0.0000052535925,0.00015881185,0.000119321965,0.00006517548],"category_scores_gemma":[0.000602263,0.00009884077,0.0001836307,0.00032866746,0.0004678009,0.000041754774,0.000013159748,0.00048080154,0.0000024871467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009489713,0.0006861947,0.9816797,0.00005398399,0.00027902197,0.00005297643,0.00046607008,0.0000074995364,0.00006332667,0.0000700555,0.0006578573,0.006493634],"study_design_scores_gemma":[0.025066752,0.08064187,0.89052266,0.0016033002,0.00026105522,0.00018646962,0.00023880001,0.0000026936964,0.001280399,0.00008797345,0.000033789984,0.00007424236],"about_ca_topic_score_codex":0.00002230068,"about_ca_topic_score_gemma":0.0000048935317,"teacher_disagreement_score":0.09115701,"about_ca_system_score_codex":0.000034727705,"about_ca_system_score_gemma":0.000071048016,"threshold_uncertainty_score":0.40306097},"labels":[],"label_agreement":null},{"id":"W2051739370","doi":"10.2174/1874440001307010001","title":"Long-Wave Infrared Functional Brain Imaging in Human: A Pilot Study","year":2013,"lang":"en","type":"article","venue":"The Open Neuroimaging Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Institut national de psychiatrie légale Philippe-Pinel; Université du Québec à Montréal","funders":"","keywords":"Stroop effect; Neuropsychology; Psychology; Neuroscience; Frontal cortex; Neuroimaging; Audiology; Cognitive psychology; Cognition; Medicine","score_opus":0.0633011870041394,"score_gpt":0.3160462607999032,"score_spread":0.25274507379576383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051739370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95170796,0.00027097328,0.00029533674,0.018542144,0.00063717633,0.0022490288,0.0000010864358,0.000059628892,0.026236646],"genre_scores_gemma":[0.98789775,0.0000062208837,0.0002033873,0.008892728,0.0006444169,0.00007679031,0.0000050224135,0.00007033488,0.002203348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99702543,0.0005196805,0.0007403981,0.00037450326,0.0007497327,0.00059026765],"domain_scores_gemma":[0.99819547,0.0002563543,0.00028227153,0.0006814053,0.00033579246,0.00024867823],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020522606,0.00030141417,0.0004561262,0.0005012823,0.0005707493,0.00060091366,0.00070237945,0.000019875775,0.0021934488],"category_scores_gemma":[0.00040337534,0.00020373627,0.000072393785,0.0007576905,0.0002360778,0.0007512915,0.0004183478,0.0016673622,0.00007245388],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010109755,0.0033827692,0.81118333,0.000042342497,0.00025360542,0.0051125637,0.0041492716,0.00009509205,0.06492479,0.00019358443,0.093429774,0.016221894],"study_design_scores_gemma":[0.0076285596,0.0018106462,0.9768747,0.00030300717,0.0000972426,0.007114384,0.0017089737,0.00040530972,0.00007179757,0.003318082,0.00043925602,0.00022804903],"about_ca_topic_score_codex":0.00033668004,"about_ca_topic_score_gemma":0.000013451677,"teacher_disagreement_score":0.16569136,"about_ca_system_score_codex":0.00011621048,"about_ca_system_score_gemma":0.00019031353,"threshold_uncertainty_score":0.9987187},"labels":[],"label_agreement":null},{"id":"W2057647913","doi":"10.1097/00005768-200105001-00907","title":"THE INFLUENCE OF ATTACHMENT METHOD AND CLOTHING ON SKIN TEMPERATURE SENSOR ACCURACY","year":2001,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Thermocouple; Skin temperature; Clothing; Materials science; Temperature measurement; Biomedical engineering; Composite material; Medicine; Physics","score_opus":0.01182263079068447,"score_gpt":0.32789777606166726,"score_spread":0.3160751452709828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057647913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920711,0.0004406683,0.000023309138,0.0044254707,0.0003580425,0.00092664035,0.0000012042804,0.000045182696,0.0017084173],"genre_scores_gemma":[0.9941784,0.0025751577,0.001274891,0.0014225012,0.00017975118,0.0000383656,0.0000026290386,0.000021829681,0.000306453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959944,0.0000674893,0.0008159968,0.00063111674,0.0018426746,0.00064833625],"domain_scores_gemma":[0.9975591,0.00058409676,0.00031842137,0.000902357,0.0003062133,0.00032983493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051050023,0.00031191416,0.00070036174,0.0006766182,0.00034874957,0.000023429773,0.0004363038,0.00010942529,0.00007224639],"category_scores_gemma":[0.0016257,0.00017593875,0.000062125415,0.0023768628,0.0024242809,0.00025156964,0.0000956538,0.0006738247,0.0000022996721],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065042917,0.00018009075,0.801656,0.00011454372,0.0000030623908,0.00076941005,0.008646442,0.00038094918,0.026983257,0.00011236154,0.0004259158,0.16007753],"study_design_scores_gemma":[0.0015095393,0.00047675418,0.9880029,0.0028378796,0.00008195378,0.00033499504,0.0028917473,0.00013547389,0.0008145987,0.00035924453,0.0023797485,0.00017519754],"about_ca_topic_score_codex":0.0002115115,"about_ca_topic_score_gemma":0.0000066541106,"teacher_disagreement_score":0.18634686,"about_ca_system_score_codex":0.00010377993,"about_ca_system_score_gemma":0.00022124455,"threshold_uncertainty_score":0.89323634},"labels":[],"label_agreement":null},{"id":"W2058621421","doi":"10.1097/00005768-200305001-00001","title":"EVIDENCE FOR BLUNTED SYMPATHETIC NEURAL VASOCONSTRICTION IN EXERCISING HUMAN MUSCLES","year":2003,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vasoconstriction; Vasodilation; Medicine; Blood pressure; Brachial artery; Internal medicine; Cold pressor test; Forearm; Perfusion; Blood flow; Tyramine; Vascular resistance; Sympathetic nervous system; Microneurography; Cardiology; Anesthesia; Endocrinology; Heart rate; Anatomy; Baroreflex","score_opus":0.04588502657167513,"score_gpt":0.3361447458736264,"score_spread":0.29025971930195127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058621421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927752,0.0010054212,0.00020188221,0.0006589908,0.0010525745,0.0023020855,0.000001158778,0.00010688722,0.0018958072],"genre_scores_gemma":[0.9974313,0.0005585389,0.0010426029,0.00038460433,0.00016569435,0.00022822007,0.000008413584,0.000040887247,0.00013978417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99523616,0.00007026084,0.0011764035,0.000968735,0.0015061509,0.0010422658],"domain_scores_gemma":[0.9978561,0.00028419157,0.00029785468,0.00081074226,0.0003661224,0.0003849999],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0052476064,0.00040233476,0.00096085004,0.0023539974,0.00030472068,0.00002711434,0.0004096765,0.00015099789,0.00029307758],"category_scores_gemma":[0.0021242944,0.00032465844,0.00013028293,0.0043701655,0.0020756328,0.000567521,0.000043103755,0.00054746366,0.0000035919581],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009190547,0.00025594037,0.90700096,0.0001697153,7.734019e-7,0.0003845682,0.0040222835,0.000074384625,0.010369496,0.00011895214,0.00014452283,0.07736648],"study_design_scores_gemma":[0.004179672,0.0007326679,0.973865,0.011229047,0.00018940594,0.0002474901,0.005075209,0.0011690855,0.00079081615,0.0017524258,0.00034788385,0.00042132658],"about_ca_topic_score_codex":0.0002669884,"about_ca_topic_score_gemma":0.000034419172,"teacher_disagreement_score":0.07694515,"about_ca_system_score_codex":0.00040609148,"about_ca_system_score_gemma":0.00039267624,"threshold_uncertainty_score":0.99992055},"labels":[],"label_agreement":null},{"id":"W2064367370","doi":"10.1097/01.ccm.0000260624.99430.22","title":"Basic physics of ultrasound imaging","year":2007,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":269,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Ultrasound; Ultrasound imaging; Medical physics; Sound (geography); Radiology; Acoustics; Physics","score_opus":0.015016352970494681,"score_gpt":0.32869271721319976,"score_spread":0.31367636424270506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064367370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65369856,0.020847559,0.06061626,0.011712348,0.003150755,0.0011418898,0.00004094159,0.00046758028,0.24832413],"genre_scores_gemma":[0.9928692,0.000030292498,0.0019943742,0.0029663276,0.001967085,0.000005061303,0.000059937905,0.00004693485,0.000060803486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759346,0.000038855345,0.0006218064,0.00033116012,0.00085622893,0.000558487],"domain_scores_gemma":[0.99677175,0.0012687647,0.000068398724,0.00056596793,0.0009013583,0.0004237458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000735441,0.00024989317,0.0006608092,0.00023696331,0.00007185057,0.0000034359437,0.00014853929,0.0000996064,0.0006844671],"category_scores_gemma":[0.003074952,0.00019082236,0.00015101102,0.00064649887,0.001826003,0.000067081135,0.000030570623,0.00046534103,0.000016169151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010044917,0.0005449447,0.41926318,0.0050482405,0.00019698203,0.0021171505,0.012690148,9.838581e-7,0.32920167,0.072335504,0.011830597,0.14576611],"study_design_scores_gemma":[0.024350105,0.007768511,0.512101,0.010158876,0.005014539,0.0037191617,0.12937106,0.000093151866,0.24924013,0.02696782,0.02945315,0.0017625176],"about_ca_topic_score_codex":0.0000390796,"about_ca_topic_score_gemma":0.0000016134494,"teacher_disagreement_score":0.33917063,"about_ca_system_score_codex":0.00008081897,"about_ca_system_score_gemma":0.00007529657,"threshold_uncertainty_score":0.77815104},"labels":[],"label_agreement":null},{"id":"W2065007129","doi":"10.1053/apmr.2001.23875","title":"Infrared skin temperature measurement cannot be used to detect myofascial tender spots","year":2001,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Thermometer; Medicine; Myofascial pain; Skin temperature; Surgery; Physical therapy; Anesthesia; Dermatology; Physics","score_opus":0.019330656910503903,"score_gpt":0.28707440940803464,"score_spread":0.26774375249753074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065007129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97554123,0.0002513611,0.00029163022,0.01816794,0.00014049666,0.000985976,0.000008163018,0.00005434081,0.004558858],"genre_scores_gemma":[0.9943463,0.000024391318,0.0034712604,0.0010878602,0.0008298715,0.000056910638,0.000020978317,0.000027791915,0.00013462112],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977766,0.00015339453,0.00044114573,0.0003946874,0.00093425985,0.0002999107],"domain_scores_gemma":[0.99771523,0.0012517347,0.000106883315,0.00037393926,0.0002256624,0.0003265481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041496294,0.0002521426,0.0006351801,0.00054353074,0.00009205759,0.0000046441633,0.00010265898,0.00007242605,0.00003452411],"category_scores_gemma":[0.0025370682,0.0001724849,0.00017635536,0.00058425247,0.0007694876,0.00007144983,0.000039085036,0.00029971948,0.0000020217042],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020265433,0.0004725159,0.005422013,0.00068376964,0.00024690217,0.000028214496,0.07800974,0.000023607063,0.80222476,0.0019048499,0.0034437755,0.10551331],"study_design_scores_gemma":[0.010841301,0.022612024,0.8846451,0.0044126455,0.0006421488,0.00006108918,0.010820675,0.00032681285,0.0137381675,0.042197872,0.009124354,0.0005777871],"about_ca_topic_score_codex":0.0000865727,"about_ca_topic_score_gemma":0.000021755852,"teacher_disagreement_score":0.8792231,"about_ca_system_score_codex":0.000034583518,"about_ca_system_score_gemma":0.00008224646,"threshold_uncertainty_score":0.703373},"labels":[],"label_agreement":null},{"id":"W2066412075","doi":"10.1007/bf03062971","title":"Meting van de huidtemperatuur met een infraroodthermometer kan niet worden gebruikt voor het opsporen van myofasciaal gevoelige plaatsen","year":2003,"lang":"nl","type":"article","venue":"Stimulus","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Art; Humanities; Medicine","score_opus":0.012840140160082595,"score_gpt":0.27182120839872415,"score_spread":0.25898106823864153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066412075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78657985,0.013907104,0.0015402752,0.0014724765,0.0038212836,0.0033388513,0.00044927504,0.00074247003,0.18814842],"genre_scores_gemma":[0.96628696,0.0005850578,0.01126274,0.0040337564,0.003102087,0.00017421725,0.0002948413,0.00050881156,0.013751542],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9886797,0.0015745899,0.0022793012,0.0019037405,0.0021183717,0.0034443121],"domain_scores_gemma":[0.9930886,0.0010693886,0.00084412337,0.0024938602,0.0007350433,0.0017689592],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0046774135,0.0017852121,0.0025317045,0.0014725588,0.0007311896,0.0002534751,0.0012659357,0.0012656776,0.019182676],"category_scores_gemma":[0.003357658,0.0016595118,0.00097033125,0.0024724642,0.0009089351,0.0004521338,0.00033122546,0.0026969253,0.0025456736],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047872416,0.0036574018,0.62235326,0.0035373298,0.013034084,0.008922776,0.047286566,0.0013886134,0.10047992,0.004179918,0.12059564,0.069777265],"study_design_scores_gemma":[0.0845661,0.021965066,0.18271142,0.011821944,0.02101506,0.0051000146,0.04737439,0.0041599306,0.11525633,0.0310621,0.45864952,0.016318114],"about_ca_topic_score_codex":0.0003936043,"about_ca_topic_score_gemma":0.000030983334,"teacher_disagreement_score":0.4396418,"about_ca_system_score_codex":0.0007286281,"about_ca_system_score_gemma":0.0010292549,"threshold_uncertainty_score":0.99960387},"labels":[],"label_agreement":null},{"id":"W2070780065","doi":"10.1097/lgt.0b013e318195d91b","title":"Detection of Cervical Intraepithelial Neoplasias and Cancers in Cervical Tissue by In Vivo Light Scattering","year":2009,"lang":"en","type":"article","venue":"Journal of Lower Genital Tract Disease","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's Health Research Institute","funders":"National Cancer Institute","keywords":"Colposcopy; Medicine; Cervical intraepithelial neoplasia; Biopsy; Cervical cancer; Histopathology; Pathology; Oncology; Gynecology; Internal medicine; Cancer; Radiology","score_opus":0.005283746455872867,"score_gpt":0.2505239031958496,"score_spread":0.24524015673997673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070780065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995911,0.0014762706,0.000053553886,0.0017563864,0.00032014103,0.00019685345,0.000016481927,0.0000076283186,0.00026166596],"genre_scores_gemma":[0.9989727,0.00014926463,0.0001036772,0.00043297827,0.00030467252,0.0000021954104,0.00000149737,0.00001681498,0.000016188267],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983853,0.00005773451,0.0007082257,0.00015854153,0.00043603216,0.00025413593],"domain_scores_gemma":[0.99906236,0.000058434747,0.00021247777,0.00013652061,0.000091564885,0.00043865477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027157154,0.00017534009,0.00045422072,0.00045790608,0.000018949753,0.000011933115,0.00009711666,0.00010584569,0.00011727911],"category_scores_gemma":[0.00012666272,0.00014711829,0.00012214675,0.00034863118,0.00008071719,0.00020044889,0.000011940417,0.0005024815,0.0000010938594],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011666668,0.0018697862,0.07436124,0.0003073698,0.00008289882,0.0054418263,0.0013877081,0.000051895717,0.8647654,0.000007352948,0.00028707055,0.03977076],"study_design_scores_gemma":[0.0067141037,0.0034265188,0.9470793,0.0008541579,0.00025582098,0.0009361046,0.0003929123,0.00014675455,0.03893145,0.00033430947,0.000677806,0.0002507379],"about_ca_topic_score_codex":0.000036879483,"about_ca_topic_score_gemma":0.000020763966,"teacher_disagreement_score":0.8727181,"about_ca_system_score_codex":0.00016716403,"about_ca_system_score_gemma":0.00015215244,"threshold_uncertainty_score":0.599931},"labels":[],"label_agreement":null},{"id":"W2074672296","doi":"10.2310/7070.2005.04056","title":"Evaluation of Static Thermal and Near-Infrared Hyperspectral Imaging for the Diagnosis of Acute Maxillary Rhinosinusitis","year":2005,"lang":"en","type":"article","venue":"The Journal of Otolaryngology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Medicine; Hyperspectral imaging; Maxillary sinus; Population; Medical imaging; Radiology; Transillumination; Physical examination; Otorhinolaryngology; Pathology; Surgery; Remote sensing","score_opus":0.020680565955817316,"score_gpt":0.3031385183742154,"score_spread":0.2824579524183981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074672296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834328,0.008085322,0.0003497687,0.0070433947,0.00015846123,0.00066470617,0.000014870245,0.0000049481746,0.00024572655],"genre_scores_gemma":[0.9950503,0.000984437,0.0029221561,0.0007662979,0.00022873335,0.00001535579,0.0000025777697,0.000019795916,0.000010320003],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99817306,0.00035219447,0.00060241605,0.00008133247,0.0005846531,0.0002063309],"domain_scores_gemma":[0.9973169,0.00087249145,0.0006300545,0.00026773204,0.00085394114,0.000058867754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035849265,0.00012979339,0.00044876357,0.0001452392,0.00009774223,0.0000058346454,0.00021248632,0.00005911921,0.00016433641],"category_scores_gemma":[0.0003638831,0.0000698669,0.0001637999,0.00016645352,0.0005647708,0.00011809885,0.00003174032,0.00028352006,6.07492e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008415706,0.0009653389,0.33070046,0.00049265876,0.0106686065,0.00021068064,0.047320027,0.0015812044,0.34590402,0.00077095587,0.006252453,0.24671787],"study_design_scores_gemma":[0.010294289,0.002591756,0.8984472,0.00039022035,0.014420019,0.0077307825,0.0020896504,0.020225674,0.041529827,0.0016379061,0.00047327587,0.00016941103],"about_ca_topic_score_codex":0.000020761767,"about_ca_topic_score_gemma":0.0000016997743,"teacher_disagreement_score":0.5677467,"about_ca_system_score_codex":0.000052227435,"about_ca_system_score_gemma":0.00021767386,"threshold_uncertainty_score":0.28490895},"labels":[],"label_agreement":null},{"id":"W208043602","doi":"10.5220/0001431300180024","title":"THERMOGRAPHIC BODY TEMPERATURE MEASUREMENT USING A MEAN-SHIFT TRACKER","year":2009,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Concordia University; Polytechnique Montréal","funders":"","keywords":"Temperature measurement; Mean-shift; Computer science; Computer vision; Materials science; Artificial intelligence; Physics; Pattern recognition (psychology)","score_opus":0.027201807868682995,"score_gpt":0.27614203541683224,"score_spread":0.24894022754814926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W208043602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97075516,0.0016427896,0.0002664996,0.0032394645,0.00025597887,0.00077281945,0.0000031409786,0.00033458037,0.022729564],"genre_scores_gemma":[0.9905703,0.00004251173,0.0022860898,0.006437869,0.00047660095,0.000007784988,0.0000085948395,0.000036917583,0.00013329939],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99746096,0.00007319641,0.00040838623,0.0003986502,0.0011585914,0.000500244],"domain_scores_gemma":[0.9986918,0.000018091647,0.0000849578,0.0006358748,0.0003035605,0.00026570208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000726785,0.00032781952,0.000468521,0.00041541006,0.00013450056,0.000029576822,0.00015164589,0.00022444039,0.0006791059],"category_scores_gemma":[0.00006538178,0.00023025527,0.00025984054,0.0008274468,0.00011376865,0.00010450146,0.000011907617,0.00052286405,0.000020553232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050601765,0.0008128437,0.0072481167,0.000085931875,0.0004711349,0.00033484193,0.001728629,0.0000066988086,0.9730997,0.0027400295,0.003670963,0.009295057],"study_design_scores_gemma":[0.0103024505,0.0030258538,0.8927325,0.001521819,0.0014994837,0.000758825,0.0011296242,0.00026469355,0.07664639,0.006775891,0.00407916,0.0012633067],"about_ca_topic_score_codex":0.000025182018,"about_ca_topic_score_gemma":0.0000065923573,"teacher_disagreement_score":0.8964533,"about_ca_system_score_codex":0.00009133601,"about_ca_system_score_gemma":0.00012182926,"threshold_uncertainty_score":0.93895376},"labels":[],"label_agreement":null},{"id":"W2081441464","doi":"10.1249/00005768-200605001-01760","title":"Cutaneous Vascular Responses and Thermoregulation in Individuals with Spinal Cord Injury Following Acute Body-Weight Supported Treadmill Training","year":2006,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Spinal cord injury; Spinal cord; Anesthesia","score_opus":0.012428023845049391,"score_gpt":0.2878756471573372,"score_spread":0.27544762331228784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081441464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99585944,0.00038751418,0.000042547243,0.0007990815,0.00030289328,0.0012503812,0.0000049985906,0.00010876971,0.0012443777],"genre_scores_gemma":[0.99730384,0.00022500718,0.0015192905,0.00031923826,0.00019965235,0.00007369992,0.00004986135,0.0000518245,0.0002575668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949727,0.000073857984,0.0010071436,0.00085223926,0.0021302353,0.0009638348],"domain_scores_gemma":[0.99843395,0.00009792509,0.0003004006,0.0006743238,0.00015231433,0.0003410746],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030017232,0.00047902402,0.0011425103,0.0023266831,0.00022338607,0.000030825424,0.00030820916,0.00016008754,0.00017924226],"category_scores_gemma":[0.0002171049,0.0003404872,0.000093480616,0.003416208,0.0020096826,0.00042732907,0.00006031928,0.00050711643,0.0000017573442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020507353,0.00014176946,0.92572504,0.000039695526,0.000007058533,0.004581458,0.0028860646,0.000005813481,0.009051646,0.000017995506,0.000074306714,0.05541841],"study_design_scores_gemma":[0.0035958372,0.0023456574,0.9853444,0.0031854524,0.00044319,0.0009963269,0.0024750107,0.00018312343,0.00026541227,0.00053020153,0.0002666506,0.00036871136],"about_ca_topic_score_codex":0.00048287338,"about_ca_topic_score_gemma":0.000036821537,"teacher_disagreement_score":0.05961938,"about_ca_system_score_codex":0.00018898428,"about_ca_system_score_gemma":0.00052966666,"threshold_uncertainty_score":0.9999047},"labels":[],"label_agreement":null},{"id":"W2093130510","doi":"10.1007/s10549-012-2393-x","title":"A systematic review of elastography, electrical impedance scanning, and digital infrared thermography for breast cancer screening and diagnosis","year":2013,"lang":"en","type":"review","venue":"Breast Cancer Research and Treatment","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Medicine; Breast cancer; Cochrane Library; Medical physics; Elastography; Meta-analysis; CINAHL; Systematic review; MEDLINE; Radiology; Cancer; Ultrasound; Internal medicine; Psychological intervention","score_opus":0.055286157672320285,"score_gpt":0.3976112877043384,"score_spread":0.34232513003201814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093130510","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00065646286,0.98398167,0.000011068037,0.00035375843,0.000038000115,0.010892519,0.003946121,0.00004115081,0.00007925674],"genre_scores_gemma":[0.00068658084,0.9765172,0.00013871743,0.00006867242,0.00023056085,0.021976257,0.00011901644,0.000117106894,0.0001458798],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99591637,0.00026262546,0.001111957,0.0009240004,0.000860753,0.0009242964],"domain_scores_gemma":[0.9964236,0.0009673899,0.00054984,0.0006119682,0.00075561274,0.0006915787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006178397,0.0008027074,0.004037089,0.0011292018,0.00023639233,0.00011626781,0.00019915965,0.00027651872,0.00009125987],"category_scores_gemma":[0.000115377115,0.0004933883,0.00067737035,0.0014946021,0.00083681487,0.00017472911,0.0001244393,0.00049353606,9.925452e-7],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014456318,0.00017138846,0.0024826084,0.43608826,0.002734521,0.000016441025,0.000056807065,6.1710734e-9,7.055774e-7,0.000021176395,0.0002997483,0.55798376],"study_design_scores_gemma":[0.002654129,0.0017872258,0.0033491813,0.9706057,0.0071158786,0.0014709858,0.000070999355,0.000008178023,0.0000024209312,0.000067045614,0.012376496,0.0004918157],"about_ca_topic_score_codex":0.0006768058,"about_ca_topic_score_gemma":0.000013419751,"teacher_disagreement_score":0.55749196,"about_ca_system_score_codex":0.00024269069,"about_ca_system_score_gemma":0.0005335508,"threshold_uncertainty_score":0.99975175},"labels":[],"label_agreement":null},{"id":"W2094277452","doi":"10.1016/s1063-4584(08)60394-5","title":"352 COMPARISON OF LIFETIME ENERGY EXPENDITURE AND KNEE AND HIP JOINT FORCE: DIFFERENT WAYS TO QUANTIFY PHYSICAL ACTIVITY","year":2008,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto; Statistics Canada; Arthritis Research Centre of Canada; Research Canada","funders":"","keywords":"Energy expenditure; Joint (building); Knee Joint; Physical activity; Physical medicine and rehabilitation; Medicine; Engineering; Structural engineering; Surgery; Internal medicine","score_opus":0.023667265276370034,"score_gpt":0.26521743105291545,"score_spread":0.24155016577654542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094277452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491256,0.003416993,0.00014030223,0.00027794592,0.000099099954,0.00030195247,0.000034589073,0.00003617702,0.0007803943],"genre_scores_gemma":[0.99897134,0.00031982537,0.00011865758,0.00019326553,0.00021191617,0.000032241704,0.00001524711,0.000025961734,0.00011156202],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877447,0.000042130177,0.00023307405,0.00034811854,0.00031831852,0.00028388444],"domain_scores_gemma":[0.9991911,0.0000687017,0.00008862077,0.00026492763,0.000049984712,0.00033668848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072274,0.0002422084,0.00076037744,0.00012124253,0.00013331402,0.00001325557,0.000036938305,0.0001195246,0.000031308744],"category_scores_gemma":[0.00003357418,0.00019709248,0.000085499036,0.00009942483,0.00033196007,0.00006561289,0.00006981286,0.00020543885,0.0000012097257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004063193,0.0002719588,0.018528694,0.00014362695,0.000019485038,0.00011522308,0.0050596455,4.2311115e-7,0.9128235,0.00079149887,0.0007226316,0.06111697],"study_design_scores_gemma":[0.006020635,0.00636965,0.17027138,0.000697659,0.00018279486,0.0005169085,0.00093391567,0.0001230412,0.81235695,0.00028399375,0.0018028041,0.00044027017],"about_ca_topic_score_codex":0.000027934157,"about_ca_topic_score_gemma":0.00002220452,"teacher_disagreement_score":0.1517427,"about_ca_system_score_codex":0.000011762983,"about_ca_system_score_gemma":0.000015867327,"threshold_uncertainty_score":0.80371976},"labels":[],"label_agreement":null},{"id":"W2095171443","doi":"10.1121/1.4708679","title":"The temperature dependent thermal properties of ex vivo porcine liver tissue heated from 20°C to 90°C","year":2012,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Thermal diffusivity; Thermal conductivity; Materials science; Ex vivo; Thermal; Thermodynamics; Thermal effusivity; Volumetric heat capacity; Liver tissue; Heat capacity; Thermal conduction; Thermal transmittance; Thermal resistance; In vivo; Composite material; Heat transfer; Heat flux; Thermal contact conductance; Medicine; Physics; Biology","score_opus":0.01142244313762997,"score_gpt":0.2433522215811551,"score_spread":0.23192977844352514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095171443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660037,0.009079869,0.0018862055,0.02156101,0.0005719728,0.0005989013,0.000028430604,0.000015966067,0.0002539225],"genre_scores_gemma":[0.9898962,0.0008049417,0.0039115665,0.0039625806,0.0009708497,0.0000026102464,8.713204e-7,0.00003216125,0.00041824573],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99742675,0.00028189528,0.0006995863,0.00009955354,0.0010703865,0.0004218136],"domain_scores_gemma":[0.9976404,0.0004874569,0.00053690205,0.0006108235,0.00049171114,0.00023270611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011242446,0.00022786354,0.0006129821,0.000029108955,0.0002227385,0.000010228448,0.0007058691,0.00013031173,0.00023417092],"category_scores_gemma":[0.0004070226,0.00008579851,0.0004142916,0.00039934556,0.0010705515,0.000079083075,0.00019409548,0.0008776533,0.00000652609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001143007,0.00024683523,0.00079639896,0.000053065924,0.0006709317,0.0000027570336,0.00571694,0.0003257115,0.9591347,0.0000020145894,0.028345417,0.0035622043],"study_design_scores_gemma":[0.003140539,0.0028669692,0.035277754,0.001731166,0.0037082077,0.0004541156,0.020305544,0.002074589,0.9193616,0.00011080276,0.010579375,0.00038933227],"about_ca_topic_score_codex":0.00017780981,"about_ca_topic_score_gemma":8.3340046e-7,"teacher_disagreement_score":0.03977311,"about_ca_system_score_codex":0.00006980593,"about_ca_system_score_gemma":0.000119469536,"threshold_uncertainty_score":0.39444914},"labels":[],"label_agreement":null},{"id":"W2095626172","doi":"10.1186/1748-7161-4-s2-o15","title":"Test-retest standard error of measurements for full-torso surface topography parameters in healthy teenagers","year":2009,"lang":"en","type":"article","venue":"Scoliosis","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Torso; Medicine; Test (biology); Surface (topology); Medical physics; Biomedical engineering; Anatomy; Geology; Mathematics","score_opus":0.04162830188130588,"score_gpt":0.3248884959367,"score_spread":0.2832601940553941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095626172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922288,0.0010976,0.00024773084,0.0032197174,0.00027564235,0.001965476,0.00006802337,0.00007844176,0.00081855536],"genre_scores_gemma":[0.98512954,0.00006923923,0.012945649,0.0016805262,0.00006512805,0.00004580284,0.000017094455,0.000032666736,0.00001434748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99756676,0.00006666578,0.00067414646,0.0003939323,0.00071542984,0.0005830543],"domain_scores_gemma":[0.9985529,0.00017800102,0.00023413765,0.00049679034,0.00030125564,0.00023686951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009809695,0.00027025197,0.00071797665,0.0006658766,0.000068058594,0.000010203273,0.00018479131,0.00015816733,0.000020727502],"category_scores_gemma":[0.0006329208,0.00024024419,0.00028948882,0.0014677014,0.00018128219,0.000089440226,0.000012978842,0.0002451063,0.000001940636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010649553,0.001353465,0.81686234,0.0010690336,0.0003858968,0.000037267433,0.0019553972,0.00018275238,0.15682997,0.00011984386,0.0051687174,0.0053857826],"study_design_scores_gemma":[0.04378821,0.052240483,0.73757267,0.007990574,0.0013515023,0.00005775481,0.0026987386,0.00057889003,0.14683445,0.0033542686,0.0018617237,0.0016707382],"about_ca_topic_score_codex":0.00006383264,"about_ca_topic_score_gemma":0.000019211524,"teacher_disagreement_score":0.07928965,"about_ca_system_score_codex":0.00014484444,"about_ca_system_score_gemma":0.0001560933,"threshold_uncertainty_score":0.97968733},"labels":[],"label_agreement":null},{"id":"W2097762107","doi":"10.1249/01.mss.0000274633.25432.62","title":"Infrared Ear Thermometers Do Not Accurately Measure Core Temperature in Fire Fighters During Recovery","year":2007,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Core temperature; Infrared thermometer; Fire fighter; Thermometer; Environmental science; Core (optical fiber); Firefighting; Crew; Rectal temperature; Medicine; Aeronautics; Infrared; Engineering; Physics; Anesthesia; Telecommunications","score_opus":0.024135223278339186,"score_gpt":0.2868395702284494,"score_spread":0.26270434695011025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097762107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98825145,0.000582593,0.0000041657568,0.0010311559,0.001838346,0.0014501647,0.0000060698894,0.00014743087,0.0066886297],"genre_scores_gemma":[0.99577254,0.00070332567,0.0003979774,0.0013868841,0.00042025454,0.000053929034,0.000025582018,0.00006883132,0.001170673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9929246,0.000043698114,0.0014333798,0.0012077673,0.0028488287,0.0015417365],"domain_scores_gemma":[0.99712884,0.00018072421,0.00037063184,0.0012365605,0.00038701174,0.0006962533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0057848934,0.0006292344,0.0012658131,0.0026487235,0.0002632286,0.000043749213,0.00079598406,0.00035758907,0.0008463425],"category_scores_gemma":[0.0011736583,0.0004710222,0.00016284359,0.006644894,0.0019692285,0.0007196318,0.00012589758,0.001431558,0.000014794481],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025046265,0.0002543163,0.83363926,0.00025469795,0.000004646447,0.007344822,0.009382149,0.000043516437,0.066331424,0.0000074765703,0.00068035506,0.07955272],"study_design_scores_gemma":[0.004194447,0.00039963773,0.9810278,0.006488452,0.00007648505,0.00025020298,0.0048460173,0.000034181303,0.0017662391,0.00015373158,0.00028404704,0.0004787832],"about_ca_topic_score_codex":0.00017009159,"about_ca_topic_score_gemma":0.000032118478,"teacher_disagreement_score":0.14738852,"about_ca_system_score_codex":0.0005707081,"about_ca_system_score_gemma":0.00048284378,"threshold_uncertainty_score":0.99977416},"labels":[],"label_agreement":null},{"id":"W2098990330","doi":"10.1109/iembs.2004.1403371","title":"Analysis of breast thermography with an artificial neural network","year":2005,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"Terry Fox Foundation","keywords":"Thermography; Artificial neural network; Computer science; Artificial intelligence; Backpropagation; Standard deviation; Pattern recognition (psychology); Segmentation; Breast cancer; Image segmentation; Statistics; Mathematics; Cancer; Medicine","score_opus":0.010542198121143865,"score_gpt":0.2548763506745521,"score_spread":0.24433415255340823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098990330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885279,0.00010691221,0.0006462819,0.0007721411,0.00004361844,0.000224086,0.000013578795,0.00011464057,0.009550829],"genre_scores_gemma":[0.99417067,0.0000056885897,0.0038895973,0.0011044198,0.00064524566,0.000007984483,0.00007499699,0.000024485913,0.00007690946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856037,0.000053236727,0.00036612066,0.00026374773,0.00042587414,0.00033065237],"domain_scores_gemma":[0.9988976,0.00004216114,0.0001217918,0.00056353444,0.00017993523,0.00019494083],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002634986,0.00018121778,0.00055161375,0.000639094,0.00005336092,0.000008173871,0.000119546086,0.00007872846,0.0015941162],"category_scores_gemma":[0.000005568094,0.00011640563,0.0002684261,0.0031425138,0.0002465178,0.00009918549,0.000012968312,0.00017773586,0.0000038416797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033436306,0.0009440878,0.86186355,0.000035286525,0.007390448,0.000057095214,0.0011134944,0.011026767,0.008653734,0.0031362835,0.0006176791,0.10181796],"study_design_scores_gemma":[0.0010839942,0.0013298986,0.9668487,0.0000465614,0.0059844963,0.000105641804,0.0004508335,0.022855613,0.00072046247,0.00009667386,0.00024317815,0.00023396284],"about_ca_topic_score_codex":0.00006862546,"about_ca_topic_score_gemma":0.00020442775,"teacher_disagreement_score":0.10498515,"about_ca_system_score_codex":0.000011906752,"about_ca_system_score_gemma":0.000029609324,"threshold_uncertainty_score":0.99931854},"labels":[],"label_agreement":null},{"id":"W2099250247","doi":"10.1109/bliss.2008.30","title":"Biometric-Based Decision Support Assistance in Physical Access Control Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Face (sociological concept); Facial recognition system; Artificial intelligence; Access control; Computer vision; Biometrics; Decision support system; Face detection; Pattern recognition (psychology); Computer security","score_opus":0.02816151865166052,"score_gpt":0.32493561985419506,"score_spread":0.29677410120253456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099250247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96508527,0.00025187625,0.019929968,0.00038427138,0.00042511398,0.0007667432,0.000012688085,0.0001412718,0.013002813],"genre_scores_gemma":[0.99739987,0.000016547907,0.00065301947,0.0012161083,0.00026585744,0.000058602476,0.000019345756,0.000027531049,0.00034312112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980003,0.000056171295,0.00043661878,0.00033762082,0.00079665077,0.00037263858],"domain_scores_gemma":[0.99853396,0.00048803983,0.00010073043,0.0004886452,0.00018477844,0.00020382658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037829898,0.00019823482,0.0006235948,0.0012299045,0.000055222165,0.000020354015,0.00022519364,0.00011101707,0.00022868198],"category_scores_gemma":[0.00034351906,0.00014204877,0.00013950431,0.0025917026,0.00016367483,0.00012552201,0.000019226956,0.00025868867,0.000062381674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021648481,0.0016687572,0.95690435,0.0002280716,0.000122818,0.0026232873,0.00020346693,0.00034168892,0.009239796,0.0005871884,0.018822495,0.0070932177],"study_design_scores_gemma":[0.024329424,0.0013342926,0.9298923,0.00054765,0.00012815461,0.000286904,0.0001081892,0.032737285,0.0036105518,0.00010330198,0.0064759324,0.00044599947],"about_ca_topic_score_codex":0.000111364374,"about_ca_topic_score_gemma":0.000004082493,"teacher_disagreement_score":0.032395598,"about_ca_system_score_codex":0.00011857825,"about_ca_system_score_gemma":0.00017552087,"threshold_uncertainty_score":0.5792581},"labels":[],"label_agreement":null},{"id":"W2102282536","doi":"10.1016/j.jmpt.2010.03.001","title":"Paraspinal Cutaneous Temperature Modification After Spinal Manipulation at L5","year":2010,"lang":"en","type":"article","venue":"Journal of Manipulative and Physiological Therapeutics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Medicine; Spinal manipulation; Chiropractic; Physical medicine and rehabilitation; Physical therapy; Alternative medicine; Pathology","score_opus":0.18859660872190673,"score_gpt":0.3662482654734199,"score_spread":0.17765165675151315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102282536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979048,0.00064858666,0.0001298019,0.0005867099,0.00027658296,0.00020213575,0.000003109249,0.000015851598,0.0002324284],"genre_scores_gemma":[0.99636537,0.0002791164,0.0012266889,0.001228297,0.00078733056,0.000004428498,0.000010749186,0.000016797276,0.000081223014],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987323,0.00008184223,0.00046267456,0.00018497846,0.00033645894,0.00020168812],"domain_scores_gemma":[0.9989471,0.000060089038,0.0003382667,0.0001895113,0.00032117587,0.00014388321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021007704,0.00021032481,0.00041561315,0.000114584545,0.0001037148,0.000018084555,0.00009200791,0.00025411934,0.0001953127],"category_scores_gemma":[0.00003780773,0.00013046399,0.00017058257,0.00015152298,0.00023262906,0.00009078886,0.000030264475,0.0008572551,0.000006721271],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00588926,0.00023221242,0.023050627,0.000048916616,0.00022877188,0.00018830289,0.00028048776,0.000027465006,0.9641572,0.001214326,0.00005133052,0.004631083],"study_design_scores_gemma":[0.0013070422,0.004540566,0.9749039,0.00013288036,0.00031969888,0.0023513655,0.00009591,0.00055974955,0.006576825,0.007483657,0.0015209579,0.00020749464],"about_ca_topic_score_codex":0.0000010403977,"about_ca_topic_score_gemma":8.6849366e-7,"teacher_disagreement_score":0.9575804,"about_ca_system_score_codex":0.00003639079,"about_ca_system_score_gemma":0.00002494417,"threshold_uncertainty_score":0.5320167},"labels":[],"label_agreement":null},{"id":"W2104426260","doi":"10.1109/crv.2008.42","title":"Hand and Wrist Physiological Features Extraction for near Infrared Biometrics","year":2008,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Biometrics; Wrist; Computer science; Artificial intelligence; Computer vision; Forearm; Feature extraction; Pattern recognition (psychology); Contrast (vision); Anatomy; Medicine","score_opus":0.039547126045598215,"score_gpt":0.3114088975443986,"score_spread":0.27186177149880036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104426260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98719245,0.0013552618,0.0034299244,0.00054667285,0.00021453011,0.0006111609,0.000012342838,0.00011958441,0.0065181],"genre_scores_gemma":[0.9777329,0.0002932078,0.017506845,0.0013393741,0.00033194316,0.00003443826,0.0000643076,0.000017670436,0.0026792916],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991844,0.000015773156,0.00017508515,0.00022371071,0.00019207716,0.00020894295],"domain_scores_gemma":[0.9993411,0.0001581431,0.00005353727,0.0001817492,0.00013179585,0.00013371544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012419862,0.00013222462,0.00026518424,0.00026075757,0.00025751806,0.000017087043,0.000043169337,0.00015926147,0.00013159351],"category_scores_gemma":[0.0004020661,0.00008957277,0.00008134684,0.00055928034,0.00044497693,0.00006335068,0.000017146442,0.00017228656,0.0000057322204],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002761209,0.00094393373,0.038131267,0.0004609927,0.00043965247,0.0002824977,0.0017107815,0.0000044855565,0.55626786,0.0017084,0.3512149,0.04607403],"study_design_scores_gemma":[0.005500922,0.0024984712,0.92036355,0.000053541207,0.00014609979,0.0010382633,0.0002744974,0.00039352258,0.02074641,0.0012424567,0.047463197,0.0002790546],"about_ca_topic_score_codex":0.0000152427165,"about_ca_topic_score_gemma":4.9188174e-7,"teacher_disagreement_score":0.8822323,"about_ca_system_score_codex":0.000018881105,"about_ca_system_score_gemma":0.000030380193,"threshold_uncertainty_score":0.36526716},"labels":[],"label_agreement":null},{"id":"W2109275207","doi":"10.1109/ccece.2011.6030634","title":"Neural network approach for the determination of heat source parameters from surface temperature image","year":2011,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Infrared; Thermography; Artificial neural network; RADIUS; Intensity (physics); Temperature measurement; Medical imaging; Surface (topology); Materials science; Artificial intelligence; Computer science; Biomedical engineering; Biological system; Optics; Physics; Mathematics; Engineering; Thermodynamics","score_opus":0.02353417373377726,"score_gpt":0.24508523355793327,"score_spread":0.22155105982415602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109275207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90893584,0.0005847447,0.08482384,0.00030805357,0.00028300137,0.0013266584,0.000017847922,0.000086382155,0.0036336496],"genre_scores_gemma":[0.8108902,0.000014213602,0.18765046,0.00081123755,0.00020013677,0.000029884175,0.00006205049,0.00002783879,0.00031400163],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990179,0.0000523446,0.00026182775,0.00021132677,0.00021219671,0.00024440855],"domain_scores_gemma":[0.99896806,0.0003229747,0.00006988557,0.0004368479,0.00013377708,0.00006845492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030795054,0.00015657666,0.0002881996,0.00003517485,0.00008039597,0.000008411987,0.00015996073,0.00011738845,0.000113050046],"category_scores_gemma":[0.00007664707,0.00008918379,0.00016100037,0.00021091316,0.0002047164,0.000062172476,0.000024136587,0.00021221433,0.0000012373331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012118777,0.0021000362,0.15794414,0.0013532316,0.0025640728,0.000068460766,0.041019287,0.007799796,0.6280241,0.0012884857,0.06551937,0.08020025],"study_design_scores_gemma":[0.01343455,0.0036634917,0.1600753,0.00045800718,0.003049944,0.00015998498,0.011222986,0.5365672,0.26696414,0.0020337615,0.0012496992,0.001120909],"about_ca_topic_score_codex":0.00022726002,"about_ca_topic_score_gemma":0.0000031233608,"teacher_disagreement_score":0.52876747,"about_ca_system_score_codex":0.0000126649165,"about_ca_system_score_gemma":0.000017625925,"threshold_uncertainty_score":0.36368093},"labels":[],"label_agreement":null},{"id":"W2116991374","doi":"10.1152/japplphysiol.00051.2003","title":"Finger dexterity, skin temperature, and blood flow during auxiliary heating in the cold","year":2003,"lang":"en","type":"article","venue":"Journal of Applied Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Skin temperature; Forearm; Blood flow; Materials science; Torso; Thermoregulation; Biomedical engineering; VEST; Animal science; Chemistry; Anatomy; Surgery; Mathematics; Medicine; Cardiology; Biology; Internal medicine","score_opus":0.005690721942667233,"score_gpt":0.22810544221872342,"score_spread":0.2224147202760562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116991374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972872,0.0005558653,0.000003259662,0.00020441583,0.0001227962,0.0002024725,0.0000010486605,0.000005918565,0.0016169803],"genre_scores_gemma":[0.99602604,0.00013209261,0.002010807,0.0014217655,0.00037252947,0.000008802772,0.0000013920107,0.0000151927015,0.000011349344],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988984,0.000102644735,0.00041838322,0.00014045359,0.00019855128,0.0002416031],"domain_scores_gemma":[0.9993368,0.00016524408,0.0001846526,0.00018424646,0.000060283153,0.00006878544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006074347,0.00014468431,0.00043254864,0.00017950124,0.000077835604,0.0000094945735,0.00010998272,0.00012504782,0.000043981647],"category_scores_gemma":[0.00007224646,0.00009057599,0.000077150886,0.00024646072,0.00012936676,0.000036061978,0.000020487949,0.0007588386,0.0000011523373],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003485833,0.00018724221,0.0018423798,0.00009425271,0.0000974424,0.00013017587,0.0015279315,0.000043456494,0.99435514,0.0010608822,0.00014794114,0.0001645987],"study_design_scores_gemma":[0.0124541875,0.00113227,0.7665054,0.00053870265,0.00039373044,0.004927416,0.0026030568,0.00003642355,0.20298752,0.007216612,0.000870481,0.00033415033],"about_ca_topic_score_codex":0.0000020151642,"about_ca_topic_score_gemma":0.0000010379205,"teacher_disagreement_score":0.7913676,"about_ca_system_score_codex":0.000017289249,"about_ca_system_score_gemma":0.000055132175,"threshold_uncertainty_score":0.36935818},"labels":[],"label_agreement":null},{"id":"W2118041927","doi":"10.1016/s1499-2671(09)33090-7","title":"Practical thermal monitoring solutions: empowering diabetic foot care teams for prevention of lower extremity complications","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetic foot; Diabetes mellitus; Modalities; Foot (prosody); Diabetic neuropathy; Skin temperature; Intensive care medicine; Physical therapy; Physical medicine and rehabilitation; Surgery; Dermatology","score_opus":0.0309091112266729,"score_gpt":0.3183546112415558,"score_spread":0.2874455000148829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118041927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928785,0.0028935978,0.00073898205,0.0018692808,0.00046081588,0.00039019404,0.000025124102,0.000010496706,0.0007330396],"genre_scores_gemma":[0.99230504,0.000008584021,0.0070914924,0.000116936826,0.00042185647,0.000010834271,0.000011358217,0.000017545206,0.000016367916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987308,0.00004409359,0.00049992633,0.0001187886,0.00020774912,0.000398679],"domain_scores_gemma":[0.9981439,0.00015707505,0.00031413947,0.00023704454,0.00067629665,0.0004715257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033759238,0.00013120484,0.00035046603,0.0003590401,0.00015248489,0.0000166471,0.00012717267,0.00009786347,0.000038707756],"category_scores_gemma":[0.00061767275,0.00012018531,0.00024378982,0.00021914573,0.00013392833,0.00015223329,0.000005310208,0.00029200083,0.0000012472198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007588579,0.00034874835,0.804117,0.0004147567,0.00051463913,0.000029013956,0.00277574,0.00010791234,0.123948775,0.0008112969,0.0016438584,0.06521235],"study_design_scores_gemma":[0.0019096949,0.0020340744,0.9798284,0.0019526572,0.00056162674,0.000031535015,0.0018754612,0.0000585417,0.009269294,0.0009905252,0.0012874586,0.00020071556],"about_ca_topic_score_codex":0.000026300877,"about_ca_topic_score_gemma":0.000048128528,"teacher_disagreement_score":0.1757114,"about_ca_system_score_codex":0.0002047852,"about_ca_system_score_gemma":0.00072843576,"threshold_uncertainty_score":0.49010146},"labels":[],"label_agreement":null},{"id":"W2119141961","doi":"10.32920/ryerson.14639760.v1","title":"Transmission Ultrasound to guide Minimally Invasive Thermal Therapy","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transmission (telecommunications); Ultrasound; Medical physics; Computer science; Medicine; Radiology; Telecommunications","score_opus":0.02057874924691441,"score_gpt":0.29600753078271747,"score_spread":0.2754287815358031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119141961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90130264,0.003064921,0.0018628085,0.0048135375,0.00073665247,0.0020142829,0.000019154362,0.00029131243,0.085894674],"genre_scores_gemma":[0.8742965,0.00529102,0.071756326,0.03254441,0.0019713833,0.0003824071,0.0008656944,0.00030429216,0.012587957],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964547,0.0001626005,0.0008286713,0.0010231608,0.00094496517,0.00058585906],"domain_scores_gemma":[0.9968509,0.00037022788,0.00016498227,0.0014086958,0.00058295095,0.00062221446],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051402027,0.00067305705,0.0011062495,0.0004272171,0.000087288245,0.000078189056,0.0004829287,0.0006928498,0.007596541],"category_scores_gemma":[0.00033432693,0.000503424,0.0006304965,0.0004122561,0.00013696837,0.000052399777,0.00019603537,0.0012522528,0.000063166444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092451175,0.0004502667,0.0038621055,0.00047749258,0.00096051913,0.0008214903,0.008015467,0.000071086026,0.9230659,0.000035519068,0.015783906,0.045531712],"study_design_scores_gemma":[0.0081527,0.002713463,0.11010379,0.007401152,0.0008137099,0.00059862476,0.0049485066,0.000030254381,0.7769546,0.00035969252,0.08589696,0.0020265544],"about_ca_topic_score_codex":0.00022742718,"about_ca_topic_score_gemma":0.000015914591,"teacher_disagreement_score":0.14611134,"about_ca_system_score_codex":0.00015527822,"about_ca_system_score_gemma":0.0013033554,"threshold_uncertainty_score":0.99974173},"labels":[],"label_agreement":null},{"id":"W2121658700","doi":"10.1109/iembs.2001.1017384","title":"Preliminary evaluation of preoperative chemohormonotherapy-induced reduction of the functional infrared imaging score in patients with locally advanced breast cancer","year":2005,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Mary's Hospital Centre","funders":"","keywords":"Vascularity; Breast cancer; Medicine; Radiology; Pathological; Functional imaging; Stage (stratigraphy); Cancer; Internal medicine","score_opus":0.012461713818117897,"score_gpt":0.2615185227582928,"score_spread":0.2490568089401749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121658700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956301,0.00016695958,0.0000927266,0.00079184637,0.00011918261,0.0016164399,0.000011699267,0.000017006236,0.0015540305],"genre_scores_gemma":[0.9988048,0.000009778489,0.0006435009,0.00018687171,0.000095078874,0.00012445646,0.000025013476,0.000021539428,0.000088982764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982212,0.000089420566,0.00040650944,0.00022302529,0.00090606743,0.00015376303],"domain_scores_gemma":[0.9981298,0.00001968859,0.00024604076,0.00030278869,0.0012625828,0.000039110808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036417932,0.00015530558,0.00025582986,0.00018482434,0.00003718024,0.0000025115914,0.00007761798,0.00005506955,0.00044484623],"category_scores_gemma":[0.0000396423,0.00009444071,0.000057431684,0.00054554176,0.00015223725,0.00022510208,0.000018576526,0.00018643615,5.1157895e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0076093897,0.0006597829,0.81212676,0.000061075305,0.00014906982,2.3499578e-7,0.001997606,0.004271842,0.047006655,0.000028000624,0.0001651413,0.12592444],"study_design_scores_gemma":[0.009193464,0.00043300522,0.9457615,0.0006558197,0.00015155716,0.000010348343,0.00043606223,0.0024373094,0.040787674,0.00003793372,0.0000032625126,0.00009208183],"about_ca_topic_score_codex":0.000057527228,"about_ca_topic_score_gemma":0.000014802426,"teacher_disagreement_score":0.13363472,"about_ca_system_score_codex":0.0002435047,"about_ca_system_score_gemma":0.00040646098,"threshold_uncertainty_score":0.48707542},"labels":[],"label_agreement":null},{"id":"W2121748926","doi":"10.4076/1752-1947-3-8992","title":"Diagnostic use of infrared thermography in a patient with chronic pain following electrocution: a case report","year":2009,"lang":"en","type":"article","venue":"Journal of Medical Case Reports","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Chevron (Canada); Alberta Health Services; University of Calgary","funders":"","keywords":"Electrocution; Medicine; Thermography; Pregabalin; Chronic pain; Pain medicine; Anesthesia; Foot (prosody); Surgery; Physical therapy; Anesthesiology; Emergency medicine","score_opus":0.009961474824565249,"score_gpt":0.2688184637960132,"score_spread":0.25885698897144793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121748926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931888,0.0032484522,0.0012079045,0.0013188135,0.00028306962,0.0005476552,0.000001141557,0.000024646159,0.0001795472],"genre_scores_gemma":[0.9975546,0.00015930804,0.0011049927,0.00077333994,0.00035069484,0.000011597355,0.000007187366,0.00002830016,0.000009990686],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.99385905,0.0003183118,0.002520011,0.0003023202,0.002538935,0.00046138497],"domain_scores_gemma":[0.99549276,0.0009690087,0.0018105072,0.00058521144,0.0004578258,0.00068467855],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004817713,0.00029139628,0.0010375137,0.00090293755,0.000061055514,0.00001693913,0.00006684547,0.00028851486,0.00013581415],"category_scores_gemma":[0.010465154,0.00019670498,0.0005059135,0.0012271536,0.0001794543,0.00021697355,0.00002215031,0.0011574578,1.5286204e-7],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003471821,0.0006007023,0.025631666,0.00009564779,0.0003081054,0.9495974,0.0005479802,0.000019129046,0.00033849946,0.000008274684,0.00064475654,0.021860614],"study_design_scores_gemma":[0.002294708,0.0067111505,0.0070336885,0.0035456887,0.00047909742,0.9778662,0.00030420104,0.000079756115,0.00044792987,0.00018153996,0.00087755156,0.00017852517],"about_ca_topic_score_codex":0.00016325265,"about_ca_topic_score_gemma":0.000064299384,"teacher_disagreement_score":0.028268723,"about_ca_system_score_codex":0.00023107656,"about_ca_system_score_gemma":0.0013588514,"threshold_uncertainty_score":0.9978701},"labels":[],"label_agreement":null},{"id":"W2131088115","doi":"10.1016/j.jmpt.2012.12.002","title":"Comparison of Paraspinal Cutaneous Temperature Measurements Between Subjects With and Without Chronic Low Back Pain","year":2013,"lang":"en","type":"article","venue":"Journal of Manipulative and Physiological Therapeutics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Medicine; Asymptomatic; Chiropractic; Low back pain; Physical therapy; Oswestry Disability Index; Back pain; Spinal manipulation; Surgery","score_opus":0.2560450839610953,"score_gpt":0.37457979884373105,"score_spread":0.11853471488263573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131088115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970409,0.0020838366,0.0001816146,0.00019926587,0.000028691995,0.00035453122,0.0000019339325,0.000005998435,0.000103189865],"genre_scores_gemma":[0.9981355,0.00023729955,0.00094671856,0.00038211385,0.00026088557,0.0000023107552,0.000004848531,0.000014839171,0.000015465921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985247,0.00025088384,0.00048553036,0.0001517498,0.0003803473,0.00020673504],"domain_scores_gemma":[0.9987344,0.00015091778,0.00046040624,0.00012448501,0.0003856906,0.00014410833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032889715,0.00021811381,0.0008359205,0.000080348276,0.000057410278,0.00001410945,0.00008412556,0.00014922685,0.000077483506],"category_scores_gemma":[0.000032027114,0.00011638806,0.00007954798,0.00014373036,0.00035171755,0.00007299669,0.000020160987,0.0005213642,0.0000013844958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000772218,0.00019938326,0.7548535,0.00023851432,0.0007881963,0.0000097316315,0.0004541223,0.000032947944,0.23752232,0.000019675275,0.00005717156,0.0050522485],"study_design_scores_gemma":[0.002684914,0.016161088,0.96643835,0.00097377994,0.0003496859,0.0001676772,0.000407629,0.00033548792,0.011203562,0.0010380155,0.000056771136,0.000183016],"about_ca_topic_score_codex":0.000004103374,"about_ca_topic_score_gemma":5.8421466e-7,"teacher_disagreement_score":0.22631875,"about_ca_system_score_codex":0.000031553816,"about_ca_system_score_gemma":0.00004345567,"threshold_uncertainty_score":0.4746167},"labels":[],"label_agreement":null},{"id":"W2133397767","doi":"10.1186/1475-925x-3-19","title":"Quantitative assessment of pain-related thermal dysfunction through clinical digital infrared thermal imaging","year":2004,"lang":"en","type":"article","venue":"BioMedical Engineering OnLine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Terry Fox Foundation","keywords":"Thermography; Artificial intelligence; Wavelet; Thresholding; Computer science; Segmentation; Pattern recognition (psychology); Noise (video); Noise reduction; Computer vision; Biomedical engineering; Infrared; Medicine; Physics; Optics","score_opus":0.018511825562312203,"score_gpt":0.3279539544097882,"score_spread":0.309442128847476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133397767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9213418,0.0004760558,0.073203735,0.0018969928,0.001104737,0.00047191995,0.00009700635,0.00039303742,0.0010147102],"genre_scores_gemma":[0.96164787,0.00004573752,0.03651084,0.000477406,0.00053112983,0.000014621993,0.0006449477,0.0000768313,0.000050635685],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969011,0.00007302903,0.001271097,0.00042207242,0.000845764,0.00048691628],"domain_scores_gemma":[0.9983402,0.00042482174,0.00025265207,0.00044345605,0.00021701989,0.00032184058],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010231809,0.0003539021,0.0007541878,0.00030465436,0.000047732923,0.000016872356,0.0002026637,0.00027529057,0.00016094065],"category_scores_gemma":[0.0012888856,0.00028378543,0.00035124243,0.00080842094,0.00055245863,0.00023850199,0.00007926395,0.00086872774,0.000010306939],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029156927,0.022063028,0.16884257,0.0030295514,0.007571158,0.0032371741,0.005296343,0.024449676,0.5151537,0.021310316,0.0020998034,0.224031],"study_design_scores_gemma":[0.029904598,0.008668125,0.80072665,0.0040475004,0.00081493234,0.00030025095,0.0013825503,0.1401595,0.0013276583,0.0009629676,0.010334923,0.0013703394],"about_ca_topic_score_codex":0.000020425217,"about_ca_topic_score_gemma":2.2077062e-7,"teacher_disagreement_score":0.6318841,"about_ca_system_score_codex":0.00014092893,"about_ca_system_score_gemma":0.00032408533,"threshold_uncertainty_score":0.99996144},"labels":[],"label_agreement":null},{"id":"W2135285906","doi":"10.1093/neuonc/not179","title":"MEDICAL RADIATION THERAPIES","year":2013,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Sunnybrook Health Science Centre; Western University; Mount Sinai Hospital","funders":"","keywords":"Medical radiation; Medicine; Medical physics","score_opus":0.012891558357255953,"score_gpt":0.296822660967957,"score_spread":0.28393110261070104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135285906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8706498,0.00086686463,0.00019625109,0.068631105,0.0015954147,0.0008608148,0.0000017008882,0.00026297587,0.056935042],"genre_scores_gemma":[0.95933115,0.000557757,0.0006843459,0.0378816,0.0012037326,0.00013840983,0.000021463886,0.000037697686,0.00014381003],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984322,0.00018481536,0.00032683884,0.0002484138,0.0004806898,0.00032704527],"domain_scores_gemma":[0.9986666,0.00048379877,0.000097223354,0.0003189231,0.00012536772,0.00030812045],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031280084,0.00014791758,0.00037485734,0.00019354328,0.0000593667,0.00000775048,0.00015099489,0.00031808115,0.008443891],"category_scores_gemma":[0.0007741502,0.000112474074,0.00009483065,0.00024717316,0.00026956157,0.00007668614,0.000036314268,0.0005343242,0.0006747729],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014703187,0.00032213543,0.020097231,0.000036384314,0.00011779801,0.00043234497,0.0015256886,5.724315e-7,0.25652406,0.001121871,0.09226369,0.6274112],"study_design_scores_gemma":[0.0058484045,0.0035320825,0.08227543,0.000049813236,0.00011898793,0.0013862569,0.000490825,0.0004469937,0.0079576,0.0016354368,0.896041,0.00021719436],"about_ca_topic_score_codex":0.000045543446,"about_ca_topic_score_gemma":0.0000031378897,"teacher_disagreement_score":0.8037773,"about_ca_system_score_codex":0.00008478178,"about_ca_system_score_gemma":0.00028523864,"threshold_uncertainty_score":0.9924625},"labels":[],"label_agreement":null},{"id":"W2146590039","doi":"10.3899/jrheum.110581","title":"Thermography Detects Subclinical Inflammation in Chronic Tophaceous Gout","year":2012,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Quality of life (healthcare); Surgery; Retrospective cohort study; Oswestry Disability Index; Lumbar; Cohort; Internal medicine; Low back pain","score_opus":0.015190697321278349,"score_gpt":0.29185863556267355,"score_spread":0.2766679382413952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146590039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893178,0.007373659,0.00023215197,0.0016248515,0.00067180104,0.00021065219,4.0541929e-7,0.000016512964,0.0005521937],"genre_scores_gemma":[0.997874,0.0015091508,0.00021921966,0.00019082466,0.00016784722,0.0000032167584,9.817477e-7,0.000020129797,0.000014603694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979437,0.00038380738,0.00088969484,0.000067900364,0.00030568137,0.00040923897],"domain_scores_gemma":[0.9981993,0.0006826673,0.0005373596,0.0002956912,0.00013132874,0.00015367394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023321419,0.0001470612,0.0005702364,0.00043664116,0.000046491085,0.0000035760772,0.00022792745,0.0001777897,0.00015637526],"category_scores_gemma":[0.0004825666,0.000086542175,0.00018440848,0.0004036783,0.0002808677,0.0001235539,0.000032212625,0.00078186597,0.000025007032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012655347,0.0001285285,0.9580752,0.000114272385,0.00025314422,0.000044925204,0.0030711344,0.00002799388,0.013918944,0.0006621348,0.00042858455,0.022009563],"study_design_scores_gemma":[0.011966174,0.0033568835,0.91762334,0.0013094386,0.0006301682,0.04823499,0.0011098374,0.00023744724,0.008082066,0.0030995237,0.003991636,0.00035847377],"about_ca_topic_score_codex":0.000028155146,"about_ca_topic_score_gemma":0.000025697751,"teacher_disagreement_score":0.04819007,"about_ca_system_score_codex":0.00010790586,"about_ca_system_score_gemma":0.00016547342,"threshold_uncertainty_score":0.35290876},"labels":[],"label_agreement":null},{"id":"W2147360307","doi":"10.1259/bjr/26858614","title":"Assessing breast tissue density by transillumination breast spectroscopy (TIBS): an intermediate indicator of cancer risk","year":2007,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Sunnybrook Health Science Centre; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Medicine; Receiver operating characteristic; Transillumination; Mammography; Logistic regression; Risk assessment; Odds ratio; Radiology; Internal medicine; Cancer; Pathology; Computer science","score_opus":0.005626425888825584,"score_gpt":0.29938626603132484,"score_spread":0.2937598401424993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147360307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889433,0.0041741477,0.0054571363,0.00026247764,0.00071034726,0.00016721599,0.00015181534,0.000019955542,0.00011360781],"genre_scores_gemma":[0.9950748,0.001950074,0.0017028813,0.00021341437,0.0009785619,0.0000014266144,0.00003621673,0.000033185137,0.000009449421],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99782276,0.00025332902,0.0009187687,0.00021822813,0.0003903927,0.00039651996],"domain_scores_gemma":[0.9979503,0.0001304986,0.0010144056,0.00016358685,0.00040474514,0.00033644453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018519856,0.00017510976,0.00077198533,0.00041420595,0.00008352583,0.000019819914,0.00020781526,0.00024610764,0.0002789794],"category_scores_gemma":[0.00012052556,0.00017884042,0.0001496441,0.00025538995,0.0006041746,0.0002992019,0.000012751768,0.00086800323,0.0000012207629],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007917289,0.00036012012,0.3599603,0.00007966962,0.00035250475,0.0017682775,0.0005652803,0.0000020349758,0.42529914,0.000008145744,0.0028085946,0.20800422],"study_design_scores_gemma":[0.002872118,0.00088458566,0.82253885,0.0005319494,0.00035932683,0.14423048,0.00045170833,0.000018237994,0.027827913,0.00006709118,0.00008987211,0.00012786174],"about_ca_topic_score_codex":0.00038820136,"about_ca_topic_score_gemma":0.00017685887,"teacher_disagreement_score":0.46257856,"about_ca_system_score_codex":0.00016173236,"about_ca_system_score_gemma":0.00022554847,"threshold_uncertainty_score":0.72929007},"labels":[],"label_agreement":null},{"id":"W2147675690","doi":"10.1007/s00421-004-1254-7","title":"Effect of cold-induced vasodilatation in the index finger on temperature and contractile characteristics of the first dorsal interosseus muscle during cold-water immersion","year":2004,"lang":"en","type":"article","venue":"European Journal of Applied Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Canadian Sport Centre Pacific; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dorsum; Vasodilation; Medicine; Index finger; Skin temperature; Anesthesia; Sports medicine; Human physiology; Anatomy; Immersion (mathematics); Chemistry; Biomedical engineering; Cardiology; Physical therapy; Internal medicine; Mathematics","score_opus":0.004356735034257445,"score_gpt":0.21173723777375175,"score_spread":0.20738050273949432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147675690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885625,0.000024020123,0.0000017198746,0.00025902846,0.00020319036,0.00034645415,0.0000038017865,0.0000031286452,0.00030242495],"genre_scores_gemma":[0.99940294,0.000015590966,0.000008768253,0.00037526395,0.00016974057,0.0000024241529,0.0000034582017,0.00001972387,0.0000021182138],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988086,0.00022956778,0.00048288712,0.00012010118,0.0002081114,0.00015073101],"domain_scores_gemma":[0.9990499,0.00018645583,0.0004369093,0.00021666905,0.00007918246,0.000030908246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008091939,0.00014603454,0.00041406607,0.00012401896,0.000063866886,0.0000058172577,0.00017977982,0.000057675494,0.000008638759],"category_scores_gemma":[0.000052324052,0.000069372305,0.00009137099,0.00013246702,0.00015633204,0.00003230113,0.00004077403,0.00062097865,0.0000018815382],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004242904,0.000116829164,0.00061686774,0.0001436932,0.00005979374,0.000048272486,0.0025052396,0.000056109566,0.9918134,0.000056672743,0.0000143079305,0.000325892],"study_design_scores_gemma":[0.0039705355,0.0013009941,0.5335535,0.0003941973,0.00006193144,0.00003807822,0.00020285779,0.0000018836204,0.4603722,0.00000957357,0.000048623762,0.000045651697],"about_ca_topic_score_codex":0.0000028918028,"about_ca_topic_score_gemma":3.3420002e-7,"teacher_disagreement_score":0.5329366,"about_ca_system_score_codex":0.00002893708,"about_ca_system_score_gemma":0.000018362329,"threshold_uncertainty_score":0.28289205},"labels":[],"label_agreement":null},{"id":"W2149265659","doi":"10.1109/iembs.2002.1106325","title":"Processing of thermal images to detect breast cancer: comparison with previous work","year":2002,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Moncton Hospital; Carleton University; University of Ottawa","funders":"Terry Fox Foundation","keywords":"False positive paradox; Breast cancer; Medicine; Artificial intelligence; Focus (optics); Cancer; False Negative Reactions; Computer science; Radiology; Internal medicine","score_opus":0.014426737955897858,"score_gpt":0.2714181627625637,"score_spread":0.2569914248066658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149265659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706705,0.0035483118,0.0012183463,0.002192413,0.00005509633,0.0007013586,0.000007985963,0.00015549648,0.021450495],"genre_scores_gemma":[0.99141073,0.000038889713,0.006948294,0.0006381417,0.00016486095,0.000042109543,0.0000014015989,0.00003286239,0.00072269904],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988335,0.000024057119,0.0002843927,0.00021274269,0.00036557388,0.00027976878],"domain_scores_gemma":[0.9992357,0.000028170507,0.00010859807,0.00027923074,0.00019129316,0.00015704146],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001073849,0.00017140301,0.00043242433,0.00015054626,0.000046512327,0.000009313527,0.000112413014,0.000053520456,0.0014982512],"category_scores_gemma":[0.000014543795,0.00010724681,0.00005226484,0.0007079955,0.00013547855,0.00005468076,0.000020624742,0.00018531122,0.00001449957],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094126916,0.00022064628,0.35566384,0.0003898901,0.00016960695,0.000041755688,0.0024373042,0.0001196931,0.023499828,0.000004727366,0.0059869858,0.6105245],"study_design_scores_gemma":[0.004491455,0.0019581423,0.917598,0.00459033,0.00064666587,0.0003273847,0.0008347605,0.0004700878,0.06734032,0.000009373139,0.001213147,0.0005203316],"about_ca_topic_score_codex":0.000077307915,"about_ca_topic_score_gemma":0.000008214956,"teacher_disagreement_score":0.6100041,"about_ca_system_score_codex":0.00003339334,"about_ca_system_score_gemma":0.00003135746,"threshold_uncertainty_score":0.9994145},"labels":[],"label_agreement":null},{"id":"W2152728493","doi":"10.1111/j.1708-8208.2009.00209.x","title":"Infrared Thermographic Evaluation of Temperature Modifications Induced during Implant Site Preparation with Cylindrical versus Conical Drills","year":2009,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Drill; Drilling; Conical surface; Implant; Materials science; Cortical bone; Thermography; Dental implant; Biomedical engineering; Dentistry; Orthodontics; Composite material; Medicine; Infrared; Anatomy; Surgery; Optics; Metallurgy","score_opus":0.12853821404277654,"score_gpt":0.4674248536558893,"score_spread":0.3388866396131128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152728493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946273,0.0005383834,0.000004619045,0.000657504,0.0007716521,0.0011961024,0.000045531295,0.000061030496,0.0020978753],"genre_scores_gemma":[0.998584,0.00047111613,0.000086073385,0.00003698968,0.00017006641,0.00003369812,0.0003069222,0.000018904853,0.00029226838],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99540204,0.0009878868,0.0010399708,0.00059305615,0.0014979772,0.00047906462],"domain_scores_gemma":[0.9967003,0.00093871733,0.00023328602,0.00063500664,0.0011021,0.00039059008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038552997,0.00021673997,0.0005564718,0.00041980058,0.0003245441,0.000045856435,0.0001713338,0.0007818524,0.00008594465],"category_scores_gemma":[0.0012170306,0.00015241378,0.00016402875,0.0011293757,0.0006643912,0.00012778574,0.000050553117,0.0020635468,0.000018998517],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.065480106,0.0060030217,0.029158676,0.00072023744,0.0048005176,0.013522468,0.003040795,0.00019033357,0.8405628,0.0036265503,0.006435119,0.026459357],"study_design_scores_gemma":[0.027995985,0.008744662,0.9205003,0.001211058,0.0013021843,0.024866024,0.0005068812,0.0026445382,0.009975207,0.0017249782,0.000096657604,0.00043152116],"about_ca_topic_score_codex":0.000006800925,"about_ca_topic_score_gemma":0.0000040558994,"teacher_disagreement_score":0.8913416,"about_ca_system_score_codex":0.000048982394,"about_ca_system_score_gemma":0.000371943,"threshold_uncertainty_score":0.8965199},"labels":[],"label_agreement":null},{"id":"W2158646588","doi":"10.1177/1534735408326171","title":"A Comparative Review of Thermography as a Breast Cancer Screening Technique","year":2009,"lang":"en","type":"review","venue":"Integrative Cancer Therapies","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":280,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian College of Naturopathic Medicine","funders":"","keywords":"Thermography; Medicine; Breast cancer; Mammography; Breast cancer screening; Cancer; Intensive care medicine; Medical physics; Internal medicine","score_opus":0.05702657199910967,"score_gpt":0.423082985365472,"score_spread":0.36605641336636235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158646588","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000050584886,0.98666704,0.0002577898,0.00095265504,0.00021741401,0.0058526024,0.0014726222,0.0001677278,0.004407085],"genre_scores_gemma":[0.000029641458,0.98985744,0.0011840073,0.0026751792,0.0005044008,0.0050332192,0.00020582134,0.00013755879,0.00037271637],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99540985,0.0006784047,0.001613988,0.00085259724,0.0008623127,0.0005828759],"domain_scores_gemma":[0.9953132,0.00034611762,0.0017081581,0.00093809445,0.0014647212,0.0002296621],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0006233837,0.001395204,0.007323959,0.0010341125,0.00011220182,0.000019903018,0.0006407589,0.0005190444,0.0035627503],"category_scores_gemma":[0.000054388693,0.0008298657,0.002285809,0.0022417598,0.0009924441,0.00013227835,0.000058608337,0.0017720901,0.000013287017],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019690095,0.00016410573,0.000028875402,0.068248264,0.005114888,0.000037050904,0.0016852989,6.1968194e-8,0.00011152398,0.00027771905,0.0051522227,0.9189831],"study_design_scores_gemma":[0.00036848534,0.00039281146,0.000055809756,0.4933362,0.0030004904,0.0002299759,0.0003319405,2.67211e-7,0.00014230344,0.00015591126,0.5015278,0.00045802843],"about_ca_topic_score_codex":0.00050666754,"about_ca_topic_score_gemma":0.000027891632,"teacher_disagreement_score":0.91852504,"about_ca_system_score_codex":0.0003165805,"about_ca_system_score_gemma":0.0012918881,"threshold_uncertainty_score":0.99987984},"labels":[],"label_agreement":null},{"id":"W2159604677","doi":"10.1109/tmi.2003.819919","title":"An Analytic Method to Predict the Thermal Map of Cryosurgery Iceballs in MR Images","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; IMRIS (Canada); Centre hospitalier universitaire de Québec","funders":"","keywords":"Volume (thermodynamics); Cryosurgery; Magnetic resonance imaging; Materials science; SIGNAL (programming language); Nuclear magnetic resonance; Thermal; Sensitivity (control systems); Range (aeronautics); Temperature measurement; Phase (matter); Optics; Physics; Computer science; Radiology; Thermodynamics","score_opus":0.010566367214660742,"score_gpt":0.3143866765436378,"score_spread":0.303820309328977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159604677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16856113,0.00021617068,0.80712545,0.021919893,0.00062924944,0.0006471844,0.000019744988,0.00013522334,0.00074593595],"genre_scores_gemma":[0.98622334,0.000026288011,0.0083576245,0.0050112195,0.00020822442,0.00006478314,0.000004542427,0.000046444482,0.00005751743],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99693626,0.0002677337,0.0006848481,0.00040592038,0.0012157151,0.0004895003],"domain_scores_gemma":[0.9981249,0.0004943459,0.00009293523,0.00066295697,0.00012857084,0.00049631525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002128159,0.0002567505,0.00053577666,0.0007018342,0.00010546213,0.00001639065,0.00035146982,0.000120067,0.00087652385],"category_scores_gemma":[0.00010071506,0.00017611527,0.00023501468,0.00087927317,0.00039941305,0.00015981756,0.0000028024788,0.0009926452,0.000030376343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020589728,0.0050864276,0.01829363,0.0006484098,0.001003201,0.0023195334,0.009638977,0.045788396,0.2986404,0.00018181796,0.0015619794,0.6147783],"study_design_scores_gemma":[0.028226504,0.0033053956,0.17959282,0.010666577,0.0032806844,0.0019085705,0.008910955,0.044599798,0.7128667,0.0021366968,0.0023602676,0.0021449882],"about_ca_topic_score_codex":0.00032836158,"about_ca_topic_score_gemma":0.000022413229,"teacher_disagreement_score":0.81766224,"about_ca_system_score_codex":0.00011738186,"about_ca_system_score_gemma":0.0003184648,"threshold_uncertainty_score":0.9597321},"labels":[],"label_agreement":null},{"id":"W2165943458","doi":"10.1158/1055-9965.epi-07-2658","title":"Association between Transillumination Breast Spectroscopy and Quantitative Mammographic Features of the Breast","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Transillumination; Breast imaging; Mammography; Association (psychology); Spectroscopy; Medicine; Breast cancer; Pathology; Internal medicine; Physics; Psychology; Astronomy","score_opus":0.0304992429702687,"score_gpt":0.3371115674649644,"score_spread":0.3066123244946957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165943458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97759855,0.005951907,0.0011627759,0.013704404,0.00039664027,0.00073838676,0.000116528354,0.000045181663,0.00028563102],"genre_scores_gemma":[0.9952945,0.0017041523,0.0020933936,0.00027767132,0.00018453196,0.000055094322,0.00009430068,0.00002045666,0.00027589346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976975,0.0008198757,0.00058604823,0.0003419905,0.00023859876,0.0003160331],"domain_scores_gemma":[0.9981486,0.0006054093,0.0006718546,0.00025568256,0.00022621894,0.00009221594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016911915,0.0001988989,0.0006051528,0.0002467146,0.00017279378,0.0000018051552,0.00010697725,0.00029804168,0.00006017042],"category_scores_gemma":[0.00036040583,0.00014446382,0.00028623772,0.00055376155,0.0006959013,0.00009990262,0.000022045735,0.000312786,0.0000010721923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036717116,0.000050989212,0.9803165,0.00009783428,0.0011764951,0.0000017000023,0.00034778216,9.596226e-7,0.009099117,0.00032153985,0.0028432752,0.0053766444],"study_design_scores_gemma":[0.001337618,0.00023187297,0.99216765,0.000457076,0.00078314584,0.00022544478,0.00012718547,0.00001863612,0.0015687911,0.0028835384,0.000082883904,0.00011613545],"about_ca_topic_score_codex":0.000254064,"about_ca_topic_score_gemma":0.000076209304,"teacher_disagreement_score":0.017695962,"about_ca_system_score_codex":0.00017231768,"about_ca_system_score_gemma":0.00010358437,"threshold_uncertainty_score":0.5891063},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2166711222","doi":"10.1109/iembs.2002.1106309","title":"Overview of functional infrared imaging as part of a multi-imaging strategy for breast cancer detection and therapeutic monitoring","year":2002,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Mary's Hospital Centre","funders":"","keywords":"Mammography; Breast cancer; Medicine; Radiology; Stage (stratigraphy); Cancer; Internal medicine","score_opus":0.07144118256958314,"score_gpt":0.3257160577779331,"score_spread":0.25427487520834996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166711222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9129474,0.06378805,0.012993183,0.0014649739,0.0014092571,0.002035651,0.00012434887,0.00021369632,0.00502343],"genre_scores_gemma":[0.99786824,0.00074474624,0.0004943658,0.00024802735,0.00024860035,0.000062309766,0.0000022428749,0.000024544177,0.00030689698],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99901557,0.000023293782,0.00034292677,0.00019336464,0.00023044673,0.00019440523],"domain_scores_gemma":[0.9992613,0.0000759969,0.00014823054,0.00016592482,0.00027564942,0.00007290779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016238235,0.00014413927,0.00029323116,0.00018428963,0.000053695538,0.000006526967,0.000038834147,0.00003932136,0.0006928673],"category_scores_gemma":[0.00002415841,0.00011921826,0.00009496617,0.00022235516,0.000112042515,0.00009051132,0.000013968138,0.0001163985,8.6618127e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035539537,0.00020428032,0.19030435,0.0008349451,0.00030903076,0.000005026617,0.0005241759,0.000055030032,0.19757637,0.0001410458,0.00011419504,0.60957617],"study_design_scores_gemma":[0.010327449,0.00038710108,0.86550933,0.0019944524,0.000817931,0.00047582385,0.0024508552,0.050732065,0.06523159,0.00073803414,0.0009563705,0.00037901616],"about_ca_topic_score_codex":0.0001370927,"about_ca_topic_score_gemma":0.000004205639,"teacher_disagreement_score":0.67520493,"about_ca_system_score_codex":0.000037396112,"about_ca_system_score_gemma":0.000029832741,"threshold_uncertainty_score":0.7586411},"labels":[],"label_agreement":null},{"id":"W2198663942","doi":"10.1016/j.jmig.2015.08.032","title":"Computerized Tomography Adiposity Morphometrics: A Novel Approach to Predict Pulmonary Intolerance in Endometrial Cancer Patients Undergoing Robotic Pelvic Surgery (RPS)","year":2015,"lang":"en","type":"article","venue":"Journal of Minimally Invasive Gynecology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Pneumoperitoneum; Endometrial cancer; Population; Surgery; Radiology; Internal medicine; Cancer; Laparoscopy","score_opus":0.03690703947763815,"score_gpt":0.2642762608626311,"score_spread":0.22736922138499296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2198663942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99054927,0.0016613576,0.0023514354,0.0005658825,0.0030578275,0.0010670763,0.000024611809,0.000028999999,0.000693562],"genre_scores_gemma":[0.9777728,0.00036272788,0.018984899,0.0019047181,0.00081459736,0.000059872415,0.000029824643,0.000056446715,0.000014130769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953901,0.00037616794,0.0018564411,0.00049548276,0.0011108333,0.00077092944],"domain_scores_gemma":[0.9911741,0.004773723,0.0012205493,0.000344815,0.0016558369,0.00083100057],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001816512,0.00043457403,0.0019582543,0.0059646647,0.0000650132,0.000027395106,0.0004888872,0.0003508117,0.00004815084],"category_scores_gemma":[0.011446573,0.00038271365,0.0005140453,0.0043490715,0.0002346416,0.0002718372,0.00016905408,0.0009534769,0.0000069151774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0063051856,0.004198215,0.9677688,0.00036510965,0.0009545242,0.0008938571,0.0012196489,0.0017183846,0.008335214,0.000012814239,0.0041955905,0.0040326947],"study_design_scores_gemma":[0.019508531,0.005483323,0.97059,0.0009338279,0.0004939316,0.0008014058,0.00051432016,0.0004539095,0.00044643044,0.000061064544,0.00029836554,0.0004149215],"about_ca_topic_score_codex":0.000068203975,"about_ca_topic_score_gemma":0.000056221626,"teacher_disagreement_score":0.016633464,"about_ca_system_score_codex":0.0008088824,"about_ca_system_score_gemma":0.0019434176,"threshold_uncertainty_score":0.9998625},"labels":[],"label_agreement":null},{"id":"W2275057657","doi":"10.3233/978-1-61499-101-4-594","title":"Estimating Rheumatoid Arthritis Activity with Infrared Image Analysis","year":2012,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Rheumatoid arthritis; Medicine; Decision tree; Internal medicine; Physical therapy; Artificial intelligence; Computer science","score_opus":0.021002467035441074,"score_gpt":0.33947926916563015,"score_spread":0.3184768021301891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275057657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804812,0.011379355,0.0037735396,0.0017205267,0.00017276386,0.0005182873,0.000006523201,0.00021714304,0.0017306625],"genre_scores_gemma":[0.8993637,0.0065809432,0.09331364,0.0006160637,0.00002903182,0.00006675929,0.000006835218,0.000010533454,0.000012487049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984205,0.00003238418,0.0006848801,0.00010167142,0.00019263201,0.00056797167],"domain_scores_gemma":[0.99894553,0.00012541824,0.00035192666,0.00034324656,0.00011939436,0.00011447111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088204927,0.00019405701,0.0008385586,0.0015185935,0.0002338533,0.000005225782,0.000071354756,0.00015685451,0.000010992354],"category_scores_gemma":[0.00050997594,0.0001462868,0.00004075088,0.0024521002,0.00094266183,0.00032762313,0.000108513144,0.0005797426,0.0000037135405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014322797,0.00016032696,0.88993627,0.0022887576,0.0014554678,0.000015941994,0.022793464,0.000022907787,0.000012960117,0.0025829582,0.0005233646,0.08006437],"study_design_scores_gemma":[0.016185781,0.006003715,0.7728495,0.011332182,0.00078391,0.0024703315,0.15378338,0.020954866,0.0011597729,0.0065359385,0.006270721,0.0016699171],"about_ca_topic_score_codex":0.00001438989,"about_ca_topic_score_gemma":0.000013068074,"teacher_disagreement_score":0.13098991,"about_ca_system_score_codex":0.000099415876,"about_ca_system_score_gemma":0.000066898705,"threshold_uncertainty_score":0.5965403},"labels":[],"label_agreement":null},{"id":"W2282421905","doi":"10.1186/s40064-016-1843-z","title":"Effect of saddle height on skin temperature measured in different days of cycling","year":2016,"lang":"en","type":"article","venue":"SpringerPlus","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"Universitat de València; Ministerio de Educación, Cultura y Deporte","keywords":"Reproducibility; Thermography; Cycling; Skin temperature; Medicine; Thermoregulation; Trunk; Biomedical engineering; Knee flexion; Materials science; Orthodontics; Mathematics; Infrared; Internal medicine; Physics; Biology","score_opus":0.006464648349286418,"score_gpt":0.2543992704347803,"score_spread":0.24793462208549386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282421905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99576086,0.00045188685,0.000021078857,0.00023352727,0.00031939236,0.00049231335,0.000009417871,0.000034349563,0.002677204],"genre_scores_gemma":[0.999439,0.000052281466,0.00009094837,0.000055308705,0.00020646019,0.000020537262,0.000002923556,0.00003238184,0.00010016385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99836445,0.00014679201,0.0004459045,0.00026436916,0.00050164614,0.00027683107],"domain_scores_gemma":[0.9987696,0.00037029796,0.0001551369,0.00053433055,0.000073840085,0.000096842894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006293999,0.00023192386,0.0007352947,0.00038034547,0.000018169256,0.0000019377644,0.00013989287,0.00016632574,0.000100998994],"category_scores_gemma":[0.00039356365,0.00012118921,0.00018831706,0.000284509,0.00012894502,0.000028626378,0.000035608682,0.0002526762,0.0000075987996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00210951,0.0001971231,0.07346212,0.00042946477,0.00012076563,0.000047641606,0.0003676892,0.0000037948894,0.9034958,0.0002562563,0.0000935237,0.019416299],"study_design_scores_gemma":[0.005098513,0.0021260825,0.16490296,0.0031769346,0.000080712685,0.000008055956,0.000017718392,0.000008351688,0.82432896,0.00006764709,0.000067106725,0.00011694689],"about_ca_topic_score_codex":0.000019793712,"about_ca_topic_score_gemma":0.0000058179094,"teacher_disagreement_score":0.09144084,"about_ca_system_score_codex":0.00008788497,"about_ca_system_score_gemma":0.00003218121,"threshold_uncertainty_score":0.49419525},"labels":[],"label_agreement":null},{"id":"W2292381980","doi":"10.1016/j.cbpa.2016.02.022","title":"Infrared thermography: A non-invasive window into thermal physiology","year":2016,"lang":"en","type":"review","venue":"Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":392,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Lyon","keywords":"Thermography; Infrared; Thermal; Computer science; Skin temperature; Physiology; Biomedical engineering; Optics; Medicine; Physics; Meteorology","score_opus":0.0253172962335001,"score_gpt":0.32917719405536544,"score_spread":0.30385989782186534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292381980","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11214834,0.88033277,0.00006686402,0.00008649353,0.00066521426,0.0023988008,0.00034503924,0.00016699615,0.003789508],"genre_scores_gemma":[0.0860725,0.90514636,0.00043783116,0.0010787507,0.0016881258,0.0019205422,0.0026951202,0.00021702256,0.00074376265],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9925313,0.001492114,0.0015817616,0.002677501,0.0003403877,0.0013769217],"domain_scores_gemma":[0.9941803,0.0012486208,0.0014132103,0.0018675219,0.0007096361,0.00058069464],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0002652405,0.0024773807,0.0075273663,0.00053256145,0.00038822833,0.000026039412,0.0009298218,0.0019547588,0.0006185117],"category_scores_gemma":[0.00025622096,0.0015696558,0.002127829,0.0009097371,0.005531452,0.0001188021,0.0005617816,0.0023546387,0.00018668243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011342933,0.00045866473,0.000007738605,0.006732651,0.00577025,0.000092174545,0.0012845978,8.0582504e-7,0.959055,0.00041810708,0.0018044168,0.023241322],"study_design_scores_gemma":[0.009051209,0.006716842,0.0018921688,0.051996734,0.0071411273,0.0007523718,0.0018754101,0.000022140664,0.3739449,0.014370281,0.52592134,0.006315456],"about_ca_topic_score_codex":0.000013054439,"about_ca_topic_score_gemma":0.0000013488243,"teacher_disagreement_score":0.58511007,"about_ca_system_score_codex":0.00020114766,"about_ca_system_score_gemma":0.0009940603,"threshold_uncertainty_score":0.99994695},"labels":[],"label_agreement":null},{"id":"W2312890625","doi":"10.1108/rjta-19-03-2015-b007","title":"Apparel with Far Infrared Radiation for Decreasing an Athlete's Oxygen Consumption during Submaximal Exercise","year":2015,"lang":"en","type":"article","venue":"Research Journal of Textile and Apparel","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Health Research Board","keywords":"Clothing; Cycling; VO2 max; Consumption (sociology); Physical therapy; Physical medicine and rehabilitation; Psychology; Medicine; Heart rate; Internal medicine","score_opus":0.08593199287094332,"score_gpt":0.3739303531206108,"score_spread":0.28799836024966746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312890625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939686,0.003993587,0.0006419215,0.00023644179,0.00006983249,0.000734435,0.0000141104565,0.00002354132,0.00031750763],"genre_scores_gemma":[0.99343693,0.0014566496,0.0042009247,0.000053731746,0.00053943455,0.000035920577,0.00003333342,0.00004334799,0.00019970819],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99760324,0.00014944772,0.00047085845,0.00023257756,0.0010550452,0.00048881833],"domain_scores_gemma":[0.99721956,0.00017418391,0.00023317164,0.0002570385,0.0013145627,0.0008014753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023139445,0.00017272194,0.00044968,0.0006691889,0.00021959703,0.00007278364,0.00016261815,0.00012275299,0.00003108389],"category_scores_gemma":[0.0005720547,0.00012817819,0.00008603122,0.00032686393,0.0003065266,0.0004332028,0.00003932679,0.0005552659,0.0000041287963],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.08676778,0.0026677253,0.33502552,0.003941121,0.0014819216,0.0020426128,0.021875765,0.00030608638,0.15061577,0.0012208502,0.015307663,0.3787472],"study_design_scores_gemma":[0.06988372,0.021735843,0.8059435,0.008339431,0.0011885234,0.008797041,0.019570142,0.0057540466,0.031507973,0.0061379075,0.019912573,0.0012293285],"about_ca_topic_score_codex":0.000022071667,"about_ca_topic_score_gemma":0.0000028268355,"teacher_disagreement_score":0.47091797,"about_ca_system_score_codex":0.00015539322,"about_ca_system_score_gemma":0.0004315201,"threshold_uncertainty_score":0.5226955},"labels":[],"label_agreement":null},{"id":"W2320638784","doi":"10.1158/1940-6207.prev-08-b66","title":"Abstract B66: Optical spectroscopy of the breast: Association between breast cancer risk factors and breast tissue composition","year":2008,"lang":"en","type":"article","venue":"Cancer Prevention Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Breast cancer; Medicine; Anthropometry; Gynecology; Mammography; Obstetrics; Risk factor; Oncology; Family history; Internal medicine; Cancer","score_opus":0.037903128522382826,"score_gpt":0.38919803624509364,"score_spread":0.3512949077227108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320638784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938083,0.0005267113,0.000060406845,0.00286371,0.0001888737,0.0008530111,0.0007955192,0.000033675406,0.00086977566],"genre_scores_gemma":[0.99714017,0.001284046,0.00007547984,0.000021395297,0.0006544189,0.000073707386,0.000056001754,0.000030607323,0.00066416257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971137,0.0002734109,0.00041930698,0.0003413627,0.0013732314,0.00047897286],"domain_scores_gemma":[0.99819756,0.00026808248,0.00027368442,0.00034675002,0.00069985824,0.00021405729],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011090013,0.00018365322,0.00040489226,0.0002462965,0.0003711477,0.000018859726,0.00017983437,0.00020870003,0.001054564],"category_scores_gemma":[0.00006149585,0.0001301773,0.00014306544,0.0007053068,0.0004749072,0.00014042147,0.00008297977,0.000963372,0.0000075389294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019188019,0.00014915851,0.9424522,0.0001483173,0.000307883,0.0000049595437,0.00033531836,0.000006913971,0.050651964,0.000039698563,0.00094348134,0.004768219],"study_design_scores_gemma":[0.0012601656,0.00012905514,0.9677347,0.00064119836,0.00019603848,0.00010192509,0.000110100256,0.000016343756,0.029364828,0.00025962078,0.00007909834,0.00010694933],"about_ca_topic_score_codex":0.0019955772,"about_ca_topic_score_gemma":0.00006251994,"teacher_disagreement_score":0.025282469,"about_ca_system_score_codex":0.0006524773,"about_ca_system_score_gemma":0.00032551342,"threshold_uncertainty_score":0.9998586},"labels":[],"label_agreement":null},{"id":"W2328657304","doi":"10.1136/annrheumdis-2014-eular.4010","title":"FRI0579-HPR Feasibility of Using Fitbit Flex to Motivate People with Rheumatoid Arthritis to BE Physically Active","year":2014,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Arthritis Research Centre of Canada; University of British Columbia","funders":"","keywords":"Medicine; Rheumatoid arthritis; FLEX; Table (database); Physical therapy; Physical activity; Internal medicine; Statistics; Data mining; Computer science","score_opus":0.040393453716966274,"score_gpt":0.3142727880572626,"score_spread":0.2738793343402963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328657304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928905,0.00020623635,0.0006833949,0.0041739433,0.00008869955,0.001251403,0.00016691779,0.000046941066,0.0004919716],"genre_scores_gemma":[0.99657613,0.00007911586,0.0013307462,0.0018515213,0.000036996236,0.00004035575,0.0000118021235,0.000043031232,0.000030320054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99760544,0.00019233904,0.00060797756,0.00035103282,0.00084706885,0.00039611448],"domain_scores_gemma":[0.9971033,0.00038547724,0.0003731781,0.0011475234,0.0005645464,0.0004259719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035431428,0.0002909731,0.0009863855,0.000178853,0.00010122382,0.0000123621985,0.00038046908,0.000052177093,0.00017148134],"category_scores_gemma":[0.001906176,0.00018853447,0.00032343986,0.0008045895,0.00025541088,0.00011452208,0.00015777543,0.00013532554,0.000009179197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016092496,0.011803081,0.5713415,0.008844468,0.005647577,0.000026710732,0.04250585,0.0050376407,0.049471516,0.0054992717,0.024826057,0.2589038],"study_design_scores_gemma":[0.0025266854,0.0015818542,0.95235807,0.0103248395,0.0002366512,0.000020307016,0.0013012489,0.00062585674,0.027942235,0.0025896037,0.00011077464,0.0003818758],"about_ca_topic_score_codex":0.0002746912,"about_ca_topic_score_gemma":0.000031643714,"teacher_disagreement_score":0.38101655,"about_ca_system_score_codex":0.000027822234,"about_ca_system_score_gemma":0.00015715114,"threshold_uncertainty_score":0.76882124},"labels":[],"label_agreement":null},{"id":"W2330562170","doi":"10.1249/01.mss.0000389398.48793.88","title":"Rate of Change of Skin Temperature Influences Maximal Pulmonary Ventilation Before and Following Exercise","year":2010,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hyperpnea; Ventilation (architecture); Skin temperature; Hyperthermia; Animal science; Core temperature; VO2 max; Chemistry; Internal medicine; Medicine; Heart rate; Respiratory system; Biology","score_opus":0.013016697791111176,"score_gpt":0.27691414834743433,"score_spread":0.26389745055632313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330562170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963244,0.0005038633,0.0000011926513,0.00051808025,0.0011246444,0.0010211935,0.000004031455,0.000033068005,0.00046952892],"genre_scores_gemma":[0.998571,0.00034599434,0.0005480936,0.00013944593,0.00021467014,0.0000574242,0.000018281928,0.000023389875,0.00008173419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969387,0.000020288227,0.00086283963,0.00054835406,0.0011532845,0.00047650834],"domain_scores_gemma":[0.99838287,0.00003705587,0.00038887342,0.00060617464,0.00030720577,0.00027779592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028850161,0.00028966446,0.00093762076,0.0012608542,0.00011634343,0.00000876201,0.00033225573,0.00018040871,0.0001436985],"category_scores_gemma":[0.00031151267,0.00021233836,0.00010635969,0.0023477778,0.002099332,0.0005556587,0.00007592689,0.00055737223,8.100754e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022470394,0.000116655465,0.81894016,0.00024177367,0.0000013258302,0.0002670095,0.005376207,8.521029e-7,0.10407751,0.000013221608,0.000020958616,0.07071961],"study_design_scores_gemma":[0.0010303763,0.0002984712,0.987824,0.0042276015,0.00017905736,0.000063960026,0.0020324052,0.000094788964,0.003543806,0.0004998068,0.000051957515,0.00015372004],"about_ca_topic_score_codex":0.0003257696,"about_ca_topic_score_gemma":0.00002995189,"teacher_disagreement_score":0.16888388,"about_ca_system_score_codex":0.000026117616,"about_ca_system_score_gemma":0.00018606955,"threshold_uncertainty_score":0.86589074},"labels":[],"label_agreement":null},{"id":"W2333255061","doi":"10.1097/01206501-200103000-00056","title":"Thermal Sensory Analyzer (TSA): A Useful Device in Testing Skin Thermal Sensation and in Evaluating Antipruritics.","year":2001,"lang":"en","type":"article","venue":"Dermatitis","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thermal sensation; Medicine; Sensation; Spectrum analyzer; Sensory system; Thermal; Quantitative sensory testing; Audiology; Cognitive psychology; Thermal comfort; Engineering; Psychology; Thermodynamics; Telecommunications","score_opus":0.043110142869801124,"score_gpt":0.3101215462659961,"score_spread":0.26701140339619495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333255061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910007,0.0004797909,0.000061104736,0.001315862,0.00007653684,0.00048795118,0.000005435095,0.000070410206,0.0065021804],"genre_scores_gemma":[0.9928068,0.00005760256,0.0037496146,0.0030543094,0.00019905687,0.000024668836,0.000023671606,0.000038442395,0.000045816872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997975,0.00025452854,0.00059908937,0.0003017124,0.00042581288,0.0004438666],"domain_scores_gemma":[0.9989208,0.00041664412,0.00013479518,0.00026950278,0.00015035919,0.00010790153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081539986,0.00022316756,0.00040339126,0.0005508695,0.000073165815,0.000029549747,0.00007128581,0.00014177531,0.00013783919],"category_scores_gemma":[0.0006527908,0.00021425536,0.000049356953,0.00087760953,0.00012328818,0.0002185415,0.000038797727,0.00042240825,0.000016131355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031319265,0.00008686936,0.9265016,0.00015471948,0.000031292653,0.0010139219,0.003147004,0.00032247085,0.028165003,0.000013535496,0.000048464113,0.040483817],"study_design_scores_gemma":[0.0028173043,0.00009733104,0.95924956,0.0007844434,0.000058727826,0.0005544756,0.0007445943,0.03375511,0.0015540196,0.00006127482,0.000117993644,0.00020516865],"about_ca_topic_score_codex":0.00040215524,"about_ca_topic_score_gemma":0.00017321853,"teacher_disagreement_score":0.040278647,"about_ca_system_score_codex":0.000085032625,"about_ca_system_score_gemma":0.00007091967,"threshold_uncertainty_score":0.873708},"labels":[],"label_agreement":null},{"id":"W2347406645","doi":"","title":"Treatment of 56 Cases of Chondromalacia Patellae by Manual Therapy and Herbal Hot Compress","year":2008,"lang":"en","type":"article","venue":"Shanghai Journal of Traditional Chinese Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Chondromalacia; Osteoarthritis; Surgery; Alternative medicine; Patella","score_opus":0.05191956027053158,"score_gpt":0.2928950021408895,"score_spread":0.2409754418703579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347406645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97093153,0.025610626,0.000060688697,0.0019515548,0.00042792346,0.0003038288,0.00018879348,0.000012139374,0.00051292713],"genre_scores_gemma":[0.9892256,0.008002517,0.00062915444,0.00030032947,0.0015501787,0.0000058933224,0.00013266644,0.000032012318,0.000121602294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973035,0.000096584394,0.0011070038,0.00019593888,0.001067611,0.00022935058],"domain_scores_gemma":[0.9975976,0.0006728948,0.00073451066,0.00022668035,0.00045256302,0.0003157933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026434704,0.00034130935,0.0013180682,0.00048662323,0.00007456032,0.000001975645,0.00014382876,0.000111022855,0.0005848547],"category_scores_gemma":[0.00017362571,0.00020134108,0.00031700268,0.00037542594,0.001093473,0.000111805966,0.000009587658,0.00023469904,5.440117e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.02318768,0.011384436,0.43693438,0.0013326653,0.0068342453,0.011295359,0.018096928,0.000053257394,0.4181518,0.00068571855,0.051608462,0.02043508],"study_design_scores_gemma":[0.0371905,0.047537673,0.85320693,0.0016643052,0.0007737212,0.042965654,0.00062585465,0.00011371114,0.011313533,0.0012127287,0.0030055756,0.00038981432],"about_ca_topic_score_codex":0.00008009439,"about_ca_topic_score_gemma":0.0000016382362,"teacher_disagreement_score":0.41627255,"about_ca_system_score_codex":0.000074532705,"about_ca_system_score_gemma":0.00014401293,"threshold_uncertainty_score":0.8210451},"labels":[],"label_agreement":null},{"id":"W2347639308","doi":"","title":"A CLINICAL STUDY OF INFLUENCE ON INTRAOCULAR PRESSURE AND SKIN TEMPERATURE AFTER STELLATE GANGLION BLOCK AND IRRADIATION OF POLARIZED LIGHT","year":2007,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Intraocular pressure; Medicine; Ophthalmology; Ocular hypertension; Anesthesia; Skin temperature; Dermatology","score_opus":0.005250357526984264,"score_gpt":0.28118229916968307,"score_spread":0.2759319416426988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347639308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978419,0.0007836933,0.000004635227,0.00013022253,0.000064464424,0.00080310984,0.0000034770162,0.00001716261,0.00035133894],"genre_scores_gemma":[0.99921507,0.00005472187,0.00023825938,0.0002929958,0.00010803706,0.000003889877,0.0000018918581,0.0000135462815,0.000071593735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858254,0.000095555755,0.0005822272,0.00024976148,0.00033444833,0.00015543766],"domain_scores_gemma":[0.9990814,0.00015485415,0.00015885268,0.00029766874,0.00017982881,0.00012741527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097094843,0.00014356285,0.00044493625,0.0002383109,0.000023645742,0.0000047922867,0.000045115234,0.00020613577,0.000020651718],"category_scores_gemma":[0.00017518176,0.000100650046,0.000043200358,0.0002883263,0.00012662113,0.000050489387,0.00002705218,0.0003042964,3.629506e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039024209,0.0009881969,0.9115878,0.0002883747,0.00046228716,0.000118935226,0.005307045,0.0000050267868,0.07488421,0.000048158192,0.00004320527,0.0023643388],"study_design_scores_gemma":[0.005309721,0.0035936304,0.97977096,0.00026585723,0.00042842675,0.000031346353,0.000736521,0.00002201698,0.009595196,0.000018118812,0.00013703946,0.000091141315],"about_ca_topic_score_codex":0.00008653151,"about_ca_topic_score_gemma":0.000028882378,"teacher_disagreement_score":0.06818319,"about_ca_system_score_codex":0.000006854655,"about_ca_system_score_gemma":0.000029587496,"threshold_uncertainty_score":0.41043898},"labels":[],"label_agreement":null},{"id":"W2362230363","doi":"","title":"A feasibility study of MR thermometry in vertebra tumor thermotherapy","year":2015,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Vertebra; Standard deviation; Nuclear medicine; Medicine; Region of interest; Scanner; Aorta; Biomedical engineering; Nuclear magnetic resonance; Mathematics; Anatomy; Radiology; Physics; Surgery; Statistics; Optics","score_opus":0.06303836488826782,"score_gpt":0.34032408628399496,"score_spread":0.27728572139572716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362230363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97913426,0.0002595701,0.00002912623,0.00025925034,0.00014240656,0.0014629317,0.0000019750983,0.00007618366,0.018634306],"genre_scores_gemma":[0.998572,0.000004644642,0.00030542284,0.0007682233,0.000076382836,0.000031471332,0.0000024265025,0.00003110507,0.0002083134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981616,0.00017493343,0.0004994093,0.00030701948,0.00059575343,0.00026128476],"domain_scores_gemma":[0.9986821,0.00007868673,0.00010333892,0.00076110207,0.00018626366,0.00018851212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011115557,0.00018739954,0.0005753615,0.00042989626,0.000013946285,0.000004113647,0.000178854,0.00006688299,0.00053340034],"category_scores_gemma":[0.00023582076,0.00012832887,0.00008393998,0.0010166465,0.00012189831,0.000060039023,0.000033521548,0.00026273233,0.00001594048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018657097,0.004451449,0.9745926,0.000044978897,0.00011966111,0.00012011202,0.007234556,0.0000022985919,0.00854163,0.000098269025,0.00049061264,0.0024381157],"study_design_scores_gemma":[0.016962932,0.0043826285,0.9595453,0.0000881225,0.000059345766,0.00003864745,0.015557,0.00011061854,0.002295792,0.0007268658,0.00007459132,0.00015814567],"about_ca_topic_score_codex":0.00047239513,"about_ca_topic_score_gemma":0.00007662258,"teacher_disagreement_score":0.01943776,"about_ca_system_score_codex":0.00009723716,"about_ca_system_score_gemma":0.0001353213,"threshold_uncertainty_score":0.58403593},"labels":[],"label_agreement":null},{"id":"W2380855888","doi":"","title":"The Introduction and the Development of 'Trier Social Stress Test'","year":2010,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trier social stress test; Psychology; Stress (linguistics); Test (biology); Social stress; Stress test; Fight-or-flight response; Social psychology; Developmental psychology","score_opus":0.004634028141553186,"score_gpt":0.2417279401297257,"score_spread":0.2370939119881725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2380855888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967173,0.00008754446,0.00011860074,0.022073463,0.0004497873,0.0003286819,0.0000012010491,0.000024119407,0.009743625],"genre_scores_gemma":[0.99597067,0.000013140951,0.0016162149,0.00018689832,0.0010457479,0.000015237774,0.00000339014,0.000006913126,0.0011417862],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99939287,0.000019916995,0.00019575191,0.00008334812,0.00020348736,0.000104646955],"domain_scores_gemma":[0.9994139,0.00022477507,0.000060165716,0.00016291035,0.00011161026,0.000026626527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006835817,0.00006118281,0.00012062321,0.00003054017,0.00023122638,0.0000070127257,0.000064427426,0.000046187368,0.00012329235],"category_scores_gemma":[0.0003796254,0.000025093152,0.000027784694,0.00011662046,0.00062567677,0.00001642762,0.000025757581,0.0002377346,0.0000021132405],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001913246,0.0003736917,0.07987329,0.00019089832,0.00064833614,0.000003871017,0.035917472,2.1073555e-7,0.20805226,0.104916096,0.032022618,0.536088],"study_design_scores_gemma":[0.011331399,0.00022029078,0.6018297,0.000048501235,0.0003243438,0.00007992574,0.009626344,0.000091982234,0.19833943,0.0039583747,0.1739078,0.00024190979],"about_ca_topic_score_codex":0.000005561534,"about_ca_topic_score_gemma":0.00003153919,"teacher_disagreement_score":0.5358461,"about_ca_system_score_codex":0.0000052623473,"about_ca_system_score_gemma":0.000056133045,"threshold_uncertainty_score":0.23053321},"labels":[],"label_agreement":null},{"id":"W2411237461","doi":"10.3233/978-1-60750-935-6-235","title":"The components of the magnetic resonance image of the neurocentral junction","year":2002,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta Hospital; University of Alberta","funders":"","keywords":"Magnetic resonance imaging; Nuclear magnetic resonance; Computer science; Image (mathematics); Computer vision; Medicine; Physics; Radiology","score_opus":0.026760700904930115,"score_gpt":0.2924546904706983,"score_spread":0.2656939895657682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2411237461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480064,0.033141322,0.0000051382563,0.016360905,0.000625137,0.0006724722,0.0000039082074,0.000023310009,0.0011614357],"genre_scores_gemma":[0.9828897,0.015744288,0.00030119324,0.00095443125,0.000012887408,0.000015009596,2.598051e-7,0.000004392295,0.00007780374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885505,0.00004417205,0.0006546332,0.000048918362,0.00017977334,0.00021744461],"domain_scores_gemma":[0.9990772,0.000116571086,0.00031446427,0.00038164255,0.00009484827,0.000015279735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003540903,0.00008610599,0.000254143,0.00013828794,0.00026062902,0.0000011848732,0.00018970024,0.00007284608,0.0000029655544],"category_scores_gemma":[0.00051038514,0.000038979862,0.000035560803,0.00085909327,0.0021588998,0.000032446496,0.00015464095,0.0004153139,6.0164336e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002951575,0.0003341841,0.66718924,0.006445947,0.00021368201,0.0000039983797,0.037894055,0.000008179469,0.00036868188,0.029525585,0.017754406,0.2399669],"study_design_scores_gemma":[0.0036360964,0.0016131962,0.91131943,0.0027595414,0.000086900465,0.00018445952,0.027107654,0.002775827,0.0008527913,0.005744145,0.043770783,0.00014916626],"about_ca_topic_score_codex":0.000006549122,"about_ca_topic_score_gemma":0.0000056943313,"teacher_disagreement_score":0.24413021,"about_ca_system_score_codex":0.00002975949,"about_ca_system_score_gemma":0.00001855337,"threshold_uncertainty_score":0.7954556},"labels":[],"label_agreement":null},{"id":"W2418444634","doi":"10.14288/1.0105714","title":"Further research on the photo-analysis test with special reference to sex differences","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Test (biology); Psychology; Computer science; Biology","score_opus":0.05750475381771361,"score_gpt":0.24244618687094316,"score_spread":0.18494143305322955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418444634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8990853,0.000014993188,0.000038813305,0.00035676657,0.000028689872,0.00045194922,0.00006883728,0.00003488901,0.09991978],"genre_scores_gemma":[0.9961667,0.000031729895,0.00030101076,0.00021688562,0.00011092186,0.0000019654562,0.000008294212,0.000014141144,0.0031483506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813485,0.00013413012,0.00012296927,0.00042615645,0.0008293101,0.00035258065],"domain_scores_gemma":[0.99837196,0.00026616835,0.00007765244,0.00062460016,0.00044970372,0.00020989806],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005995694,0.0000625539,0.00040723174,0.00026676638,0.00028076794,0.000034389246,0.00046962124,0.00009850426,0.0044585923],"category_scores_gemma":[0.00010721867,0.00011525593,0.00012743325,0.0019241375,0.00078669586,0.00006402853,0.000096515825,0.00043195602,0.00007845058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059607247,0.0011782696,0.82797915,0.000085047315,0.0017644201,0.0013093936,0.011347962,0.0000010815503,0.0008659952,0.00004796721,0.015347329,0.13947728],"study_design_scores_gemma":[0.0007061697,0.0013286727,0.9819807,0.00022857895,0.000405572,0.000026519552,0.014723679,0.000009631586,0.000012012658,0.00016796657,0.00028238242,0.00012810834],"about_ca_topic_score_codex":0.059730288,"about_ca_topic_score_gemma":0.13900185,"teacher_disagreement_score":0.15400153,"about_ca_system_score_codex":0.000059500537,"about_ca_system_score_gemma":0.000096415075,"threshold_uncertainty_score":0.99645144},"labels":[],"label_agreement":null},{"id":"W2463839302","doi":"10.1249/01.mss.0000487650.94916.e0","title":"Associations Between Indices of Quadriceps Strength and Self-Reported Function in Individuals After Knee Meniscal Surgery","year":2016,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Isometric exercise; Medicine; Physical therapy; Body mass index; Population; Physical medicine and rehabilitation; Surgery; Internal medicine","score_opus":0.01497094594840177,"score_gpt":0.27152144000328,"score_spread":0.25655049405487823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463839302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967483,0.00023983809,0.000021423755,0.0010712544,0.0004232832,0.0006788485,0.000021487542,0.0000716865,0.00072384655],"genre_scores_gemma":[0.9987958,0.0004367697,0.00023366223,0.00013818579,0.00020236084,0.000069043286,0.000030520587,0.000022727556,0.00007091258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99531084,0.000069604255,0.0014790219,0.0006454614,0.0018584249,0.00063663075],"domain_scores_gemma":[0.99762976,0.00059917354,0.00068178907,0.0005071445,0.0002496236,0.00033250885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056815855,0.0002912563,0.001157983,0.002567059,0.0000841326,0.000010209786,0.0001692176,0.00018162791,0.0004410273],"category_scores_gemma":[0.0010610418,0.00018752768,0.000075533186,0.003080949,0.001360577,0.00049270206,0.00007964418,0.00031443237,0.0000028609472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006089246,0.0002191934,0.9445775,0.00004485262,0.000007771731,0.00011620528,0.0025758795,2.065315e-7,0.0003179874,0.000004274378,0.00014724853,0.051927973],"study_design_scores_gemma":[0.0017279295,0.00024098225,0.9943646,0.001798335,0.00036465345,0.000019212197,0.00068120216,0.0000042027805,0.00010167606,0.00036872763,0.00013678944,0.0001916474],"about_ca_topic_score_codex":0.0003372854,"about_ca_topic_score_gemma":0.000047489877,"teacher_disagreement_score":0.051736325,"about_ca_system_score_codex":0.00018949999,"about_ca_system_score_gemma":0.0004455157,"threshold_uncertainty_score":0.7647157},"labels":[],"label_agreement":null},{"id":"W2488983888","doi":"10.1016/j.compbiomed.2016.06.023","title":"Tumor parameter estimation considering the body geometry by thermography","year":2016,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Finite element method; Thermography; Computer science; Function (biology); Biological system; Mathematical optimization; Mathematics; Biology; Physics; Optics","score_opus":0.011230488086280218,"score_gpt":0.29015429804910886,"score_spread":0.2789238099628286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2488983888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94565564,0.004047084,0.03121096,0.017213047,0.00075329485,0.00046595637,0.00000632431,0.000077393626,0.0005703168],"genre_scores_gemma":[0.989951,0.00039867908,0.0023527322,0.0069903983,0.00021897414,0.00002603003,0.00001801564,0.000014374371,0.00002975585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877536,0.00012165029,0.00035499202,0.00031668643,0.000118114694,0.00031321894],"domain_scores_gemma":[0.99819297,0.001216297,0.00010365992,0.00032984486,0.000042876956,0.00011434918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006306897,0.00019543461,0.0004249731,0.00033887627,0.00008024394,0.0000032027817,0.00012486,0.00011707552,0.000090429094],"category_scores_gemma":[0.0004100012,0.0000870632,0.000048617563,0.00034910464,0.0015030516,0.000040219853,0.000051865845,0.00024578805,0.00000390815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053369434,0.00015300351,0.5764044,0.00013847392,0.00039220782,0.00015615317,0.0011592589,9.940497e-7,0.08202499,0.009701635,0.023756417,0.3055788],"study_design_scores_gemma":[0.024318494,0.005252705,0.8349422,0.0047330717,0.00049762113,0.002003712,0.0006615254,0.0020981368,0.0056336364,0.09681512,0.022186995,0.00085679535],"about_ca_topic_score_codex":0.000022287275,"about_ca_topic_score_gemma":0.0000010585551,"teacher_disagreement_score":0.304722,"about_ca_system_score_codex":0.000023498993,"about_ca_system_score_gemma":0.000019007162,"threshold_uncertainty_score":0.55380565},"labels":[],"label_agreement":null},{"id":"W2520487386","doi":"10.1158/1940-6215.prev-13-c18","title":"Abstract C18: The association between breast tissue optical content and percent density and dense area in pre- and postmenopausal women","year":2013,"lang":"en","type":"article","venue":"Cancer Prevention Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Institute for Cancer Research; Mount Sinai Hospital","funders":"","keywords":"Breast tissue; Mammography; Medicine; Breast imaging; Nuclear medicine; Breast cancer; Nuclear magnetic resonance; Internal medicine; Physics; Cancer","score_opus":0.054732714418874145,"score_gpt":0.37143116811244425,"score_spread":0.3166984536935701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520487386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99263597,0.0010126184,0.000008080724,0.0045428267,0.000036018486,0.0013289443,0.000011266306,0.000013816296,0.00041044003],"genre_scores_gemma":[0.99720484,0.0008214612,0.00003804213,0.00009539027,0.00014221952,0.0002545494,0.000011671308,0.00001298813,0.0014188469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983205,0.00017290583,0.0002444184,0.00027384283,0.00056468614,0.00042362415],"domain_scores_gemma":[0.9988574,0.00033282835,0.00005896068,0.0001697776,0.00034037855,0.0002406495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020045426,0.000110888446,0.0002461334,0.00016228399,0.00013188881,0.00006270358,0.000058103014,0.00012474031,0.00028798875],"category_scores_gemma":[0.00021089426,0.00007838127,0.000015832074,0.00018600686,0.00026027026,0.00011399581,0.00009629014,0.0005607641,0.0000056257168],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020824601,0.000102569735,0.90669835,0.00018246825,0.00016061461,0.000017024548,0.0024038327,3.1690817e-7,0.034531564,0.00012034373,0.00030699142,0.055267658],"study_design_scores_gemma":[0.0014487668,0.0003824284,0.9953113,0.00026978046,0.000034553068,0.00003150223,0.00094621896,0.00002386343,0.00057386956,0.0007458569,0.00016025294,0.00007159633],"about_ca_topic_score_codex":0.00081537495,"about_ca_topic_score_gemma":0.00008064532,"teacher_disagreement_score":0.088612944,"about_ca_system_score_codex":0.00041810563,"about_ca_system_score_gemma":0.00008477863,"threshold_uncertainty_score":0.31962955},"labels":[],"label_agreement":null},{"id":"W2536954125","doi":"10.1109/iwcdm.2011.16","title":"Automated Extraction of Anatomical Regions of Interest in Clinical Thermal Infrared Images of Hands","year":2011,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ellipse; Rectangle; Artificial intelligence; Computer vision; Computer science; Ground truth; Infrared; Thermal infrared; Image (mathematics); Pattern recognition (psychology); Mathematics; Optics; Physics; Geometry","score_opus":0.10939718245710714,"score_gpt":0.369605184891491,"score_spread":0.2602080024343839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2536954125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776589,0.000061290506,0.00013532028,0.000078613295,0.000116497264,0.00023526119,0.000006120918,0.00007952553,0.02162846],"genre_scores_gemma":[0.9968171,0.00004908221,0.0028817118,0.000051976414,0.00004530616,0.0000048772217,0.000011244889,0.000015705233,0.00012300402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982441,0.00011947071,0.0011729585,0.00016400992,0.0001458095,0.00015366121],"domain_scores_gemma":[0.99871504,0.00019908277,0.00037555772,0.00039974813,0.00022658125,0.00008396554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006177365,0.00011755105,0.00060335157,0.0004244797,0.000007311159,7.555377e-7,0.00012693099,0.00020356779,0.0006158313],"category_scores_gemma":[0.0004190011,0.00008912028,0.00018746583,0.00041171617,0.0005840636,0.00007732176,0.000036859237,0.00029619512,0.000002254481],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035368279,0.0021280586,0.75267404,0.0003603073,0.0003523988,0.0000801586,0.0019060604,0.0000015023327,0.22684644,0.0037908123,0.003003352,0.005320011],"study_design_scores_gemma":[0.004239837,0.0011835934,0.83101636,0.00043810633,0.00010146612,0.000026270647,0.0005215634,0.00050456554,0.16145411,0.00042529978,0.000018115921,0.00007072505],"about_ca_topic_score_codex":0.00020151325,"about_ca_topic_score_gemma":0.000018212146,"teacher_disagreement_score":0.07834228,"about_ca_system_score_codex":0.000014168862,"about_ca_system_score_gemma":0.00008155011,"threshold_uncertainty_score":0.6742921},"labels":[],"label_agreement":null},{"id":"W2543427932","doi":"10.1109/iembs.2004.1403521","title":"Automated image segmentation for breast analysis using infrared images","year":2005,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Terry Fox Foundation","keywords":"Hough transform; Artificial intelligence; Computer vision; Computer science; Segmentation; Boundary (topology); Canny edge detector; Edge detection; Image segmentation; Pattern recognition (psychology); Image (mathematics); Image processing; Mathematics","score_opus":0.012704805487047817,"score_gpt":0.31953551862330665,"score_spread":0.3068307131362588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543427932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81489545,0.00017212042,0.1637643,0.0024177923,0.00014823138,0.0016991171,0.00024233264,0.0017275417,0.014933128],"genre_scores_gemma":[0.6684837,0.0000086142645,0.32829544,0.001058631,0.00045187745,0.00003678971,0.0003060175,0.00003495269,0.0013240359],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988152,0.000027537724,0.00036214734,0.00024618185,0.00026739095,0.00028154475],"domain_scores_gemma":[0.9991082,0.000060062604,0.00011129058,0.00029916747,0.00029454584,0.00012673736],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002492368,0.0001680487,0.00036814832,0.000657952,0.000091071226,0.000026394722,0.00006925504,0.00007892229,0.0013493418],"category_scores_gemma":[0.000050429448,0.0001373628,0.00025797964,0.0010976174,0.00008738363,0.00022090467,0.000016311085,0.00008539132,0.000017966191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044988288,0.0002669853,0.019268993,0.0001800951,0.0035885347,0.000026395013,0.0009279404,0.0006539348,0.9190526,0.00010506803,0.013550212,0.041929346],"study_design_scores_gemma":[0.01043305,0.00039998384,0.23524694,0.00014349034,0.011176444,0.00036510773,0.0019199203,0.56250906,0.1758244,0.00017769363,0.0011540167,0.0006498987],"about_ca_topic_score_codex":0.000029550867,"about_ca_topic_score_gemma":0.0000039682554,"teacher_disagreement_score":0.7432282,"about_ca_system_score_codex":0.00010786763,"about_ca_system_score_gemma":0.000050504426,"threshold_uncertainty_score":0.9995636},"labels":[],"label_agreement":null},{"id":"W2551963638","doi":"10.1364/ao.55.00d162","title":"Automated assessment and tracking of human body thermal variations using unsupervised clustering","year":2016,"lang":"en","type":"article","venue":"Applied Optics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Overheating (electricity); Computer vision; Artificial intelligence; Region of interest; Optics; Remote sensing; Physics; Geology","score_opus":0.029023150714693063,"score_gpt":0.3260157195776731,"score_spread":0.29699256886298003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551963638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774747,0.000022160504,0.016156899,0.00012240169,0.00006653722,0.00036735728,0.000008431991,0.00018047015,0.00560105],"genre_scores_gemma":[0.9701995,0.000011529847,0.029523373,0.000095500225,0.00010693475,0.000009724339,0.0000075043035,0.00003268752,0.000013220828],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999011,0.00001961321,0.0003438996,0.00017545307,0.00023850212,0.00021153408],"domain_scores_gemma":[0.99932814,0.00009283558,0.00012350247,0.0002770939,0.00009369852,0.00008474065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025287087,0.00013906656,0.00028810266,0.00014857878,0.000099738645,0.0000102473,0.000067883244,0.00009502481,0.000070520466],"category_scores_gemma":[0.000016304662,0.00009924764,0.000039932635,0.00016951672,0.00013462514,0.000049367736,0.000049925708,0.000110279085,0.0000010687853],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002710545,0.00007452828,0.0054035336,0.000082669,0.00011889243,0.0000078901185,0.00041730865,0.000039622322,0.9831219,0.007449153,0.0000047489316,0.0032526937],"study_design_scores_gemma":[0.014016178,0.0007801451,0.7770245,0.0013643851,0.0013187911,0.00010374787,0.0010086251,0.11314478,0.08922154,0.001307385,0.000036656125,0.00067324605],"about_ca_topic_score_codex":0.000007143673,"about_ca_topic_score_gemma":6.1833737e-7,"teacher_disagreement_score":0.89390033,"about_ca_system_score_codex":0.000055984983,"about_ca_system_score_gemma":0.000056584846,"threshold_uncertainty_score":0.40472013},"labels":[],"label_agreement":null},{"id":"W2557850838","doi":"10.25011/cim.v39i6.27515","title":"Right-sided lateralization of skin temperature in healthy young persons","year":2016,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lateralization of brain function; Skin temperature; Medicine; Cardiology; Internal medicine; Audiology; Dermatology","score_opus":0.07746316982349422,"score_gpt":0.34920698357376107,"score_spread":0.27174381375026685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557850838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9394002,0.0006778531,0.00004156115,0.057297703,0.00042590013,0.00043190172,0.000010988844,0.00003307396,0.0016808341],"genre_scores_gemma":[0.99282503,0.0005830157,0.00049576943,0.0048878198,0.00059813843,0.000015495585,0.000029714462,0.00002038941,0.0005446096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977032,0.00027027214,0.0010425765,0.00039639216,0.00032638694,0.00026118563],"domain_scores_gemma":[0.99846584,0.00040319833,0.00024463327,0.0002854177,0.00020275536,0.00039814375],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010660803,0.00021360736,0.00086189434,0.00027058998,0.00004508356,0.0000021394058,0.00008559423,0.00023013998,0.00024440652],"category_scores_gemma":[0.003142611,0.00010735428,0.000081484846,0.00052164384,0.007867566,0.00011291305,0.000030896477,0.0003910949,0.000004468652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000605569,0.0001740394,0.9370771,0.00019478762,0.0000928248,0.00006483102,0.0021250092,1.0264906e-7,0.03949665,0.012797679,0.004955686,0.0024157197],"study_design_scores_gemma":[0.011448312,0.0041427594,0.9558687,0.004600601,0.00012082115,0.00005282047,0.00045071906,0.00002396779,0.0038225113,0.01806457,0.0012319514,0.00017223286],"about_ca_topic_score_codex":0.00009741238,"about_ca_topic_score_gemma":0.000039036626,"teacher_disagreement_score":0.053424865,"about_ca_system_score_codex":0.000027324062,"about_ca_system_score_gemma":0.00010957788,"threshold_uncertainty_score":0.99483246},"labels":[],"label_agreement":null},{"id":"W2586066779","doi":"10.21611/qirt.2010.053","title":"Real-time monitoring of dental lesions using transmission-mode photothermal radiometry and modulated luminescence","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 International Conference on Quantitative InfraRed Thermography","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Radiometry; Luminescence; Photothermal therapy; Transmission (telecommunications); Materials science; Optoelectronics; Optics; Computer science; Physics; Telecommunications; Nanotechnology","score_opus":0.03230912236833014,"score_gpt":0.32363289586327604,"score_spread":0.29132377349494587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586066779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899512,0.000055534943,0.00004750842,0.0002018532,0.0005291459,0.00051127974,0.0000773663,0.000049150633,0.008576945],"genre_scores_gemma":[0.9841845,0.0001897208,0.015294223,0.000027585254,0.00008594371,0.000015303927,0.0000069689945,0.000042028474,0.0001537291],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99798423,0.00002193409,0.0005818203,0.00037013963,0.00078389415,0.0002579565],"domain_scores_gemma":[0.99778664,0.00013566464,0.0005814278,0.00021216404,0.0011332263,0.00015088094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033715638,0.00030749085,0.00048213304,0.0009005503,0.0001267895,0.00002932032,0.0005535955,0.0001957585,0.00028806712],"category_scores_gemma":[0.00022347627,0.00022366384,0.00027565644,0.0008606798,0.0009790298,0.00026218782,0.00008529083,0.000599414,0.0000016382306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006379564,0.00019621453,0.08860832,0.00008570728,0.00028135895,0.000001723497,0.0010896251,0.0000021369544,0.8965588,0.011421225,0.000022452443,0.0010944561],"study_design_scores_gemma":[0.00198191,0.00056779856,0.3571671,0.0020910387,0.00021638875,0.000082706414,0.0018838582,0.009041803,0.6223114,0.004287739,0.000025652414,0.00034259429],"about_ca_topic_score_codex":0.000111202855,"about_ca_topic_score_gemma":5.280125e-7,"teacher_disagreement_score":0.2742474,"about_ca_system_score_codex":0.000025259105,"about_ca_system_score_gemma":0.00008464589,"threshold_uncertainty_score":0.9120747},"labels":[],"label_agreement":null},{"id":"W2587891556","doi":"10.1093/neuonc/now212.906","title":"TMOD-37. CHARACTERIZATION OF A UNIQUE BMIC POPULATION IN HUMAN BRAIN METASTASES","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; McMaster University","funders":"","keywords":"Brain metastasis; Metastasis; Cancer research; Primary tumor; Cancer; Melanoma; Mesenchymal stem cell; Biology; Population; Pathology; Medicine; Internal medicine","score_opus":0.019288815707571794,"score_gpt":0.3142241034144528,"score_spread":0.294935287706881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587891556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99243253,0.000016805629,0.00042816537,0.005413777,0.00022921548,0.0005382213,0.00002491002,0.000055814897,0.000860561],"genre_scores_gemma":[0.9970103,0.00004000011,0.00026994196,0.002255223,0.00015741598,0.000039922405,0.00014446734,0.000028514583,0.000054207234],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984305,0.00039426357,0.00051418535,0.00024993852,0.00018460194,0.00022652537],"domain_scores_gemma":[0.9989412,0.0003308861,0.00026382398,0.00029613648,0.00009113533,0.00007680604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004470796,0.00013963593,0.00047620517,0.0003906726,0.00002709997,0.0000018620824,0.00009174396,0.00017159137,0.00024955822],"category_scores_gemma":[0.00048076813,0.00010152404,0.00007179736,0.00036227587,0.00013595921,0.00009431967,0.000030888885,0.00017891833,0.0000068970417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021899652,0.00014896484,0.040771518,0.00004089854,0.000019492098,0.0000871161,0.0002124424,4.2491268e-7,0.93393,0.0013577591,0.00016276668,0.02304966],"study_design_scores_gemma":[0.0057463516,0.0029412524,0.77466947,0.00026265383,0.000103663246,0.00016860593,0.000045390938,0.0000197051,0.20128636,0.0012883076,0.013305385,0.00016284097],"about_ca_topic_score_codex":0.000061450715,"about_ca_topic_score_gemma":0.000033019533,"teacher_disagreement_score":0.733898,"about_ca_system_score_codex":0.00013901124,"about_ca_system_score_gemma":0.00009014432,"threshold_uncertainty_score":0.41400304},"labels":[],"label_agreement":null},{"id":"W2595254729","doi":"","title":"Evaluation of a Sonomicrometry System for the Measurement of Joint Kinematics","year":2005,"lang":"en","type":"article","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sonomicrometry; Kinematics; Joint (building); Computer science; Engineering; Medicine; Physics; Structural engineering","score_opus":0.02741372858681821,"score_gpt":0.2364703769157854,"score_spread":0.2090566483289672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595254729","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13517012,0.0082503045,0.03096213,0.006196535,0.0019952725,0.009940121,0.0002619685,0.00027170425,0.8069518],"genre_scores_gemma":[0.9934384,0.00031453607,0.004743098,0.0007883266,0.00049716746,0.00007179364,0.00012183948,0.000013370489,0.00001144606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980774,0.00007319051,0.00094164757,0.00008495495,0.0006291131,0.0001937154],"domain_scores_gemma":[0.9986659,0.00008753145,0.000542804,0.0002932507,0.00034117803,0.00006932796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020893437,0.00014149517,0.000338268,0.00018499349,0.00007436806,0.000018703231,0.00010134055,0.00008908437,0.00010282368],"category_scores_gemma":[0.0000617395,0.000094913965,0.0001330489,0.0002658896,0.00007828932,0.0012953331,0.00004285347,0.00012308362,0.000002286841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024324765,0.00048399903,0.0020218932,0.009218377,0.002347059,5.2513633e-7,0.0052268575,0.02614258,0.002043398,0.55597776,0.03194656,0.3621585],"study_design_scores_gemma":[0.02392111,0.0014149102,0.04441391,0.008694508,0.0032954135,0.00010904081,0.0009903024,0.66825664,0.028856417,0.0009775875,0.21843682,0.0006333503],"about_ca_topic_score_codex":4.7146916e-8,"about_ca_topic_score_gemma":1.092397e-7,"teacher_disagreement_score":0.8582683,"about_ca_system_score_codex":0.000037853333,"about_ca_system_score_gemma":0.00011327066,"threshold_uncertainty_score":0.38704792},"labels":[],"label_agreement":null},{"id":"W2597220527","doi":"10.1016/s0735-1097(17)33554-4","title":"A META-ANALYSIS OF THE EFFECT OF TARGETED TEMPERATURE MANAGEMENT ON MORTALITY AND NEUROLOGICAL OUTCOME","year":2017,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Outcome (game theory); Meta-analysis; Targeted temperature management; Intensive care medicine; Emergency medicine; Internal medicine; Resuscitation; Cardiopulmonary resuscitation","score_opus":0.040556521382598174,"score_gpt":0.33140333204480577,"score_spread":0.2908468106622076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597220527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995462,0.00035130244,0.0000062715308,0.0028308122,0.00022681346,0.00033943894,0.00009393987,0.000001979306,0.00068745716],"genre_scores_gemma":[0.9991904,0.00006171881,0.000109218374,0.0004895857,0.0000753184,0.000004211979,4.4256353e-7,0.000008025079,0.00006106661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974434,0.000985397,0.0007497888,0.00014867699,0.0005251952,0.00014755875],"domain_scores_gemma":[0.9958534,0.00041872147,0.002356454,0.0011197008,0.00019131688,0.000060379392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016411975,0.00017206468,0.0031690563,0.0002587999,0.000085120606,0.0000023114715,0.0006056686,0.0000698741,0.000014815804],"category_scores_gemma":[0.0006673055,0.00006821044,0.0026077738,0.00048308363,0.0015816399,0.000019862728,0.00017392726,0.00043447263,6.271304e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016937597,0.00003290411,0.836256,0.00007419653,0.15457179,0.00017296852,0.00002119837,0.00046844687,0.0060146274,0.00012144567,0.0004965481,0.00007610032],"study_design_scores_gemma":[0.0008972677,0.002557867,0.84660345,0.000013452218,0.14822975,0.0001417747,0.000042960746,0.000015690446,0.0013241259,0.000043942466,0.00008831009,0.000041396146],"about_ca_topic_score_codex":0.0000132200885,"about_ca_topic_score_gemma":0.0000017139297,"teacher_disagreement_score":0.010347439,"about_ca_system_score_codex":0.000014250498,"about_ca_system_score_gemma":0.00002500531,"threshold_uncertainty_score":0.58276176},"labels":[],"label_agreement":null},{"id":"W2605852052","doi":"10.1016/j.joca.2017.02.711","title":"Effects of laser-ultrasound on chondrocyte viability and mRNA expression","year":2017,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Chondrocyte; Lactate dehydrogenase; Viability assay; Chemistry; Andrology; Gene expression; Cartilage; Molecular biology; Apoptosis; Biology; Medicine; Anatomy; Biochemistry; Gene; Enzyme","score_opus":0.005429463949846599,"score_gpt":0.23588322398387962,"score_spread":0.23045376003403303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605852052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99133736,0.00158512,0.000002869598,0.00012506326,0.00018374198,0.00045247035,0.000017468405,0.00002481143,0.006271088],"genre_scores_gemma":[0.9989345,0.0003970385,0.00011397798,0.00014191981,0.00011671681,0.00002435579,0.000005335584,0.000016982347,0.00024918883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903756,0.00004626566,0.00019972441,0.00028111765,0.00023805742,0.00019726374],"domain_scores_gemma":[0.9989338,0.00017530232,0.00012767044,0.0005318383,0.000054042193,0.00017734319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001953961,0.00015784305,0.00037084936,0.000059477596,0.00023027009,0.00003312239,0.00007464067,0.00010674686,0.00004262239],"category_scores_gemma":[0.00038450584,0.00012763766,0.00006630386,0.000032721582,0.00045721824,0.00010064555,0.000055339773,0.00016785166,0.0000030483807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033691115,0.00007867338,0.023612157,0.00040718322,0.000005059197,0.00012618856,0.0004206787,6.2329626e-8,0.9558692,0.00004841667,0.0002082377,0.018887227],"study_design_scores_gemma":[0.004109024,0.0015953948,0.12094541,0.0010555097,0.00006386615,0.00008272877,0.000073108815,4.981461e-7,0.87059695,0.00023427725,0.0011303534,0.00011289469],"about_ca_topic_score_codex":0.000009221036,"about_ca_topic_score_gemma":0.000008078026,"teacher_disagreement_score":0.09733325,"about_ca_system_score_codex":0.000009488045,"about_ca_system_score_gemma":0.0000140255,"threshold_uncertainty_score":0.5204913},"labels":[],"label_agreement":null},{"id":"W2606641312","doi":"10.1503/cmaj.160833","title":"Hot bodies; Cold War: the forgotten history of breast thermography","year":2017,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Medical Association; University of Toronto","keywords":"Thermography; Mammography; Medicine; Breast cancer; Cold war; Medical physics; Gynecology; Computer science; Cancer; Political science; Internal medicine; Law; Optics","score_opus":0.008614225258057209,"score_gpt":0.2261441694253509,"score_spread":0.21752994416729368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606641312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51017827,0.007065936,0.00008535797,0.28672963,0.010077982,0.0010204912,0.0001994119,0.00008062448,0.1845623],"genre_scores_gemma":[0.9778568,0.00047762805,0.000077938515,0.015915286,0.0027313624,0.0000113932665,0.0000072729417,0.00003462399,0.0028876828],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99679375,0.0001449598,0.0005414518,0.00015228559,0.0018300897,0.000537495],"domain_scores_gemma":[0.99644595,0.00017836936,0.0007678163,0.0005251377,0.0007411624,0.0013415565],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026848312,0.00016524571,0.00040705415,0.00029833196,0.00053024513,0.000030509502,0.0006531543,0.00038165651,0.0033198635],"category_scores_gemma":[0.0019996185,0.000111042595,0.00027714611,0.00009499673,0.00049236306,0.00012361017,0.00002808691,0.00134688,0.000027263057],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007220825,0.000060620143,0.31886485,0.000031142925,0.0007058829,0.00049853075,0.0016200333,2.0094755e-7,0.00044267232,0.00065984175,0.6553335,0.021710524],"study_design_scores_gemma":[0.0017271846,0.00013512946,0.51976496,0.00023665445,0.00017451351,0.00092921994,0.00041148526,0.000029107388,0.000022512477,0.00018310384,0.476264,0.00012211016],"about_ca_topic_score_codex":0.003578621,"about_ca_topic_score_gemma":0.004960379,"teacher_disagreement_score":0.46767855,"about_ca_system_score_codex":0.001389432,"about_ca_system_score_gemma":0.0040655993,"threshold_uncertainty_score":0.99759126},"labels":[],"label_agreement":null},{"id":"W2607121690","doi":"10.23977/jaip.2016.11007","title":"Human Thermal Comfort Study Based on Average Skin Temperature","year":2016,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Thermal comfort; Skin temperature; Linear discriminant analysis; Human skin; Homogeneous; Thermal; Computer science; Discriminant; Environmental science; Mathematics; Artificial intelligence; Engineering; Meteorology; Geography","score_opus":0.03502331444999864,"score_gpt":0.35956648279762415,"score_spread":0.32454316834762553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607121690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97989476,0.00006519912,0.0036687402,0.008997531,0.0009264682,0.0006176315,0.0000043713753,0.00003718176,0.005788118],"genre_scores_gemma":[0.9943562,0.000016268657,0.0012394013,0.0027814123,0.0013496121,0.0000059891695,8.9439413e-7,0.00003867021,0.00021155736],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967294,0.00039715983,0.001099389,0.0002493864,0.0011938945,0.0003308117],"domain_scores_gemma":[0.9965081,0.00096276007,0.0008671506,0.0005037461,0.0009008748,0.00025734963],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027396183,0.00025885162,0.000503633,0.0004854237,0.00018800919,0.000055933437,0.00030850436,0.00014578002,0.0009707946],"category_scores_gemma":[0.002389417,0.00014906164,0.00025440974,0.0004571529,0.00017741049,0.0004836182,0.000027147049,0.00096515205,0.00008158474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018147813,0.017335452,0.012497365,0.00008782157,0.0013383792,0.00867075,0.007562931,0.0015575743,0.7012325,0.0035084577,0.0030846773,0.22497629],"study_design_scores_gemma":[0.0073453737,0.092432186,0.057719897,0.005002794,0.0040492374,0.0042093014,0.040110588,0.0012475036,0.75745577,0.004330148,0.024014026,0.0020831765],"about_ca_topic_score_codex":0.000016466647,"about_ca_topic_score_gemma":0.000004340119,"teacher_disagreement_score":0.2228931,"about_ca_system_score_codex":0.00013263078,"about_ca_system_score_gemma":0.00021184831,"threshold_uncertainty_score":0.9999425},"labels":[],"label_agreement":null},{"id":"W2619770808","doi":"10.1504/ijdh.2016.10005379","title":"Comparing 2D image features on viewpoint independence using 3D anthropometric dataset","year":2016,"lang":"en","type":"article","venue":"International Journal of the Digital Human","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; National Research Council Canada","funders":"","keywords":"Artificial intelligence; Computer science; Pattern recognition (psychology); Viewpoints; Convolutional neural network; Histogram; Classifier (UML); Deep learning; Support vector machine; Histogram of oriented gradients; Computer vision; Autoencoder; Feature extraction; Image (mathematics)","score_opus":0.039080898558931376,"score_gpt":0.35252892880184283,"score_spread":0.31344803024291146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619770808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899183,0.0001508662,0.0006455704,0.0021830068,0.0014023101,0.00012464875,0.00028571516,0.000013221081,0.0052763596],"genre_scores_gemma":[0.9982017,0.000018753084,0.00027473603,0.0006060005,0.0007123074,4.86975e-7,0.000026419679,0.000017384315,0.00014221277],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99792486,0.00003037909,0.0004973127,0.00013039503,0.0012562348,0.00016080694],"domain_scores_gemma":[0.99861455,0.000109967485,0.0004991178,0.00027102596,0.00040534104,0.00009997686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031632764,0.00014221667,0.0002536802,0.00054362346,0.00007843835,0.00009590655,0.0006990125,0.000049334853,0.00016730811],"category_scores_gemma":[0.0005285495,0.00007050155,0.0001855465,0.00020762997,0.0002699757,0.00041560346,0.00016043115,0.00036907961,0.00001866149],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046472587,0.0043397555,0.24819367,0.00016988399,0.005144665,0.005130994,0.0012928711,0.00016958681,0.46799368,0.010073686,0.09345209,0.15939187],"study_design_scores_gemma":[0.020471059,0.003937564,0.7785142,0.0153486105,0.0006690298,0.023235722,0.0006247877,0.00013016012,0.107453935,0.011762087,0.036765173,0.0010876524],"about_ca_topic_score_codex":0.0000098288665,"about_ca_topic_score_gemma":0.0000014046307,"teacher_disagreement_score":0.5303205,"about_ca_system_score_codex":0.00022639043,"about_ca_system_score_gemma":0.000058955087,"threshold_uncertainty_score":0.28749698},"labels":[],"label_agreement":null},{"id":"W2625163603","doi":"","title":"Two-photon Microscopy and Polarimetry for Assessment of Myocardial Tissue Organization","year":2010,"lang":"en","type":"article","venue":"TSpace","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Polarimetry; Microscopy; Two-photon excitation microscopy; Photon; Optics; Materials science; Medicine; Physics; Scattering","score_opus":0.009978352009031223,"score_gpt":0.37065961875558423,"score_spread":0.360681266746553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625163603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98881495,0.00010290746,0.0063860565,0.00060873164,0.0004487664,0.0006015526,0.000008611297,0.000040190607,0.0029882283],"genre_scores_gemma":[0.91388816,0.000014842291,0.08520995,0.00025440432,0.0002697978,0.0000025546358,0.000043971733,0.00002858694,0.00028774643],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993882,0.000014410471,0.00014635733,0.00015331952,0.00015689863,0.00014078348],"domain_scores_gemma":[0.99932295,0.00006627596,0.00008088248,0.00023896228,0.00020691683,0.00008400118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023804956,0.00009913837,0.00024333557,0.000119453965,0.000044476892,0.000006938469,0.00004729202,0.00009661775,0.00016990131],"category_scores_gemma":[0.00017440053,0.00008757865,0.000029732024,0.00024826077,0.000107737316,0.00002812728,0.000021259963,0.00019032588,0.0000015804433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038372433,0.00004619558,0.060826182,0.00009176488,0.000049561007,0.0000020100879,0.00053634244,1.2988846e-7,0.9357378,0.0010436241,0.00048588845,0.0011421316],"study_design_scores_gemma":[0.003196677,0.0005768545,0.13359827,0.000059738864,0.0002337748,0.000052795698,0.00045511776,0.0000716579,0.85404706,0.00013205895,0.007454883,0.00012112254],"about_ca_topic_score_codex":0.000077771314,"about_ca_topic_score_gemma":0.0000024810527,"teacher_disagreement_score":0.08169074,"about_ca_system_score_codex":0.000014521663,"about_ca_system_score_gemma":0.00008688064,"threshold_uncertainty_score":0.3571354},"labels":[],"label_agreement":null},{"id":"W2735152299","doi":"10.1016/j.physbeh.2017.07.020","title":"Thermal comfort zone of the hands, feet and head in males and females","year":2017,"lang":"en","type":"article","venue":"Physiology & Behavior","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"SOCKS; Skin temperature; Medicine; Head (geology); Foot (prosody); Anatomy; Surgery; Animal science; Biology; Dermatology; Materials science","score_opus":0.03677856149881172,"score_gpt":0.32710574475598797,"score_spread":0.29032718325717627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735152299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981337,0.0005140876,3.279844e-7,0.0005014031,0.00011039449,0.0003492028,0.000010082744,0.000010510229,0.00037030107],"genre_scores_gemma":[0.99934196,0.00009963691,0.00008612176,0.0001954177,0.000078938516,0.00003939254,0.0000064150768,0.000013055613,0.00013907668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992818,0.00004536745,0.00019376296,0.00019140448,0.00009888807,0.00018876194],"domain_scores_gemma":[0.999208,0.000041607585,0.00013697617,0.0005302309,0.00003139037,0.00005182341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014183224,0.00012743342,0.0003675647,0.000060998165,0.00014500196,0.0000058478913,0.00015214286,0.00010350201,0.000035958157],"category_scores_gemma":[0.000038639137,0.00007987143,0.00004955879,0.000039112398,0.0012582986,0.000047851274,0.00013265481,0.00021240878,8.2875e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011463268,0.00009429973,0.7018065,0.000030431424,0.0000148387735,0.000012243907,0.00021538539,1.4882269e-7,0.29412374,0.00008758642,0.000018234123,0.0034819816],"study_design_scores_gemma":[0.001928016,0.00026996597,0.98863953,0.00016341142,0.00012468646,0.000036434754,0.000097491684,0.000006179797,0.008544888,0.00005148324,0.000067621295,0.0000702671],"about_ca_topic_score_codex":0.00015204649,"about_ca_topic_score_gemma":0.00006996626,"teacher_disagreement_score":0.28683305,"about_ca_system_score_codex":0.000007079578,"about_ca_system_score_gemma":0.000023925564,"threshold_uncertainty_score":0.4636254},"labels":[],"label_agreement":null},{"id":"W2738682916","doi":"10.1016/j.jtherbio.2017.07.006","title":"Thermographic imaging in sports and exercise medicine: A Delphi study and consensus statement on the measurement of human skin temperature","year":2017,"lang":"en","type":"review","venue":"Journal of Thermal Biology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":390,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Delphi method; Checklist; Delphi; Sports medicine; Skin temperature; Data collection; Thermography; Medical physics; Medicine; Sports science; Medical education; Applied psychology; Physical therapy; Psychology; Computer science; Statistics; Artificial intelligence; Mathematics; Biomedical engineering","score_opus":0.08082966541424874,"score_gpt":0.3856690501050408,"score_spread":0.3048393846907921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738682916","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32241416,0.6754093,5.951699e-8,0.0004890436,0.00021334783,0.0012646159,0.000007538823,0.000003922479,0.00019796871],"genre_scores_gemma":[0.42110726,0.5785511,0.00000893997,0.00008721612,0.00019043294,0.000018671932,0.0000032212404,0.000028456225,0.0000046866294],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9962936,0.000614388,0.0018192611,0.00032417706,0.0006346522,0.0003139362],"domain_scores_gemma":[0.9961355,0.00027114362,0.0024617394,0.00061077497,0.0003739709,0.0001469093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005804606,0.00050212874,0.003029458,0.0010164818,0.0001294509,0.000012105007,0.0003550194,0.00023683667,0.000056079825],"category_scores_gemma":[0.00026997534,0.0002352137,0.00029783716,0.00020205755,0.000947679,0.000024484632,0.00009017974,0.0012206758,2.0196096e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083818944,0.0006814264,0.016402787,0.0040724585,0.0013182838,0.0013451638,0.003549358,2.0860546e-7,0.0019652988,0.000057696307,0.00040562043,0.9693635],"study_design_scores_gemma":[0.035138853,0.03397304,0.22734454,0.47426647,0.029080713,0.0073913713,0.022005526,0.0000049874484,0.00018502676,0.0017382321,0.16640198,0.0024692414],"about_ca_topic_score_codex":0.00004688886,"about_ca_topic_score_gemma":0.000010402018,"teacher_disagreement_score":0.96689427,"about_ca_system_score_codex":0.000076393,"about_ca_system_score_gemma":0.00020626024,"threshold_uncertainty_score":0.95917356},"labels":[],"label_agreement":null},{"id":"W2742049833","doi":"10.1007/s40846-017-0300-y","title":"Analytical and Experimental Solution for Heat Source Located Under Skin: Modeling Chest Tumor Detection in Male Subjects by Infrared Thermography","year":2017,"lang":"en","type":"article","venue":"Journal of Medical and Biological Engineering","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Thermography; Infrared; Skin temperature; Thermal conduction; Biomedical engineering; RADIUS; Imaging phantom; Materials science; Perfusion; Chemistry; Computer science; Optics; Physics; Medicine; Radiology; Composite material","score_opus":0.02139872051922128,"score_gpt":0.266672510824024,"score_spread":0.2452737903048027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742049833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9486992,0.002214247,0.047899533,0.00086585316,0.00012515613,0.0001546727,0.0000015759335,0.000015488422,0.000024304303],"genre_scores_gemma":[0.9987401,0.00027409729,0.0004564084,0.000222002,0.00028018246,0.000007306465,0.0000032482512,0.000011188262,0.000005504388],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882066,0.000023427927,0.0004075753,0.00016647326,0.00033006078,0.00025180078],"domain_scores_gemma":[0.9993372,0.00010427844,0.00009010431,0.00009658442,0.000058382637,0.00031344625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075586763,0.00015601605,0.000408389,0.00017358978,0.0000974185,0.000028495731,0.00011674645,0.00023875282,0.000024426292],"category_scores_gemma":[0.00044893383,0.000099909936,0.00010416106,0.000087863154,0.00019477414,0.00008361563,0.000051218176,0.00047046618,1.2022213e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0060816165,0.0015889212,0.056189813,0.0008685257,0.0008878738,0.00087450683,0.0009220955,0.002663138,0.85805464,0.00032473428,0.00029023734,0.07125391],"study_design_scores_gemma":[0.008163947,0.0026080988,0.04407862,0.00092954363,0.00009999267,0.002303287,0.0004773618,0.9253326,0.015227286,0.00011870561,0.00035985484,0.00030071396],"about_ca_topic_score_codex":0.000023749146,"about_ca_topic_score_gemma":0.0000011968755,"teacher_disagreement_score":0.9226695,"about_ca_system_score_codex":0.000035619814,"about_ca_system_score_gemma":0.000023618468,"threshold_uncertainty_score":0.4074209},"labels":[],"label_agreement":null},{"id":"W2746577098","doi":"10.1016/j.jpain.2004.02.421","title":"Clinical outcomes measurement","year":2004,"lang":"en","type":"article","venue":"Journal of Pain","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Implant; Sensation; Confidence interval; Incidence (geometry); Quality of life (healthcare); Surgery; Anesthesia; Internal medicine; Psychology","score_opus":0.07016816857040158,"score_gpt":0.3615826390022678,"score_spread":0.2914144704318662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746577098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9553039,0.0012547896,0.018997904,0.019375958,0.0015844307,0.0002489769,8.211789e-7,0.000030753014,0.0032024423],"genre_scores_gemma":[0.9847235,0.00007461902,0.00900042,0.0053292,0.00080584944,7.1857755e-7,2.9431823e-7,0.000013124657,0.00005228386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795425,0.00016798152,0.00079050823,0.000069949456,0.0008679085,0.0001494069],"domain_scores_gemma":[0.99872476,0.00013536573,0.00032257359,0.00017362899,0.00043329722,0.00021039795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009052546,0.000091239446,0.0004420033,0.0001676005,0.000022994309,0.000004730203,0.00009905052,0.00007368699,0.00009992894],"category_scores_gemma":[0.00278889,0.000057110035,0.00040456763,0.00012856882,0.00007660817,0.000040780436,0.000008772635,0.00044775408,0.000013129692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003803295,0.0008222262,0.94099903,0.000062998886,0.0008495121,0.0011164447,0.00040381475,0.000019878225,0.0028747981,0.00040665845,0.009981902,0.0420824],"study_design_scores_gemma":[0.0091212,0.0030114423,0.9664344,0.00079760957,0.00033310542,0.000449288,0.00037606066,0.000003571276,0.00043170532,0.003003857,0.015926983,0.00011076096],"about_ca_topic_score_codex":0.000003859896,"about_ca_topic_score_gemma":0.0000016643742,"teacher_disagreement_score":0.04197164,"about_ca_system_score_codex":0.00012032586,"about_ca_system_score_gemma":0.00024400066,"threshold_uncertainty_score":0.33387634},"labels":[],"label_agreement":null},{"id":"W2756672180","doi":"10.1016/j.rvsc.2017.09.023","title":"Infrared thermal imaging as a method to evaluate heat loss in newborn lambs","year":2017,"lang":"en","type":"article","venue":"Research in Veterinary Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Commonwealth Scientific and Industrial Research Organisation; McMaster University","keywords":"Thermography; Rump; Animal science; Thermogenesis; Shearing (physics); Thermoregulation; Lactation; Pregnancy; Dorsum; Gestation; Biology; Adipose tissue; Endocrinology; Anatomy; Materials science; Infrared","score_opus":0.14821699401678617,"score_gpt":0.5193202088533659,"score_spread":0.37110321483657976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756672180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92734456,0.00013622569,0.00009882166,0.0062978677,0.00020130012,0.0009645491,0.0000029381195,0.00003232175,0.064921424],"genre_scores_gemma":[0.9834291,0.000029629196,0.015030523,0.0005690437,0.00015342892,0.0001042245,0.0000014165694,0.00002570694,0.00065697136],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.994411,0.00059225346,0.00039225235,0.00082508783,0.002312719,0.0014667021],"domain_scores_gemma":[0.99691623,0.0003353728,0.00005017205,0.001694279,0.00043275882,0.0005711904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01836612,0.00020165936,0.00038075165,0.002706039,0.00061622343,0.00020840886,0.0016742763,0.00006663984,0.00018742097],"category_scores_gemma":[0.0028853524,0.00017241023,0.000061293904,0.0026597842,0.0020228976,0.00077296974,0.0011028823,0.00097538065,0.00014842254],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019188727,0.00020433242,0.056691095,0.00010643177,0.000008439435,0.0085742595,0.0030408164,0.00004550583,0.7970844,0.0004447546,0.00012414626,0.13175695],"study_design_scores_gemma":[0.0031775972,0.0040422375,0.9669309,0.0015240869,0.0000058958894,0.0010073639,0.0008050387,0.009247576,0.0050127255,0.0032469437,0.0047094603,0.00029015428],"about_ca_topic_score_codex":0.0009159747,"about_ca_topic_score_gemma":0.000005429715,"teacher_disagreement_score":0.9102398,"about_ca_system_score_codex":0.00044453723,"about_ca_system_score_gemma":0.0012482719,"threshold_uncertainty_score":0.74534506},"labels":[],"label_agreement":null},{"id":"W2757679488","doi":"10.1186/s12938-017-0403-2","title":"Parameters sensitivity assessment and heat source localization using infrared imaging techniques","year":2017,"lang":"en","type":"article","venue":"BioMedical Engineering OnLine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"RADIUS; Infrared; Heat equation; Thermal conduction; Materials science; Sensitivity (control systems); Inverse problem; Inverse; Biomedical engineering; Intensity (physics); Bioheat transfer; Surface (topology); Mechanics; Biological system; Physics; Computer science; Optics; Mathematics; Mathematical analysis; Heat transfer; Geometry; Electronic engineering; Composite material","score_opus":0.016203022320865464,"score_gpt":0.3123206816943887,"score_spread":0.29611765937352325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757679488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5452563,0.00014673837,0.452519,0.0010522627,0.00028085327,0.0003066365,0.000023159711,0.00034582577,0.00006920488],"genre_scores_gemma":[0.88148844,0.000054670207,0.11738436,0.00047109288,0.00041053057,0.0000068766726,0.00011424236,0.000049771275,0.000019992913],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985706,0.000029192573,0.00032045267,0.00031082236,0.00043101553,0.00033790673],"domain_scores_gemma":[0.99889123,0.000077892066,0.00008651863,0.0005310198,0.000089864654,0.00032345837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049196585,0.00023635036,0.0003961929,0.00029292848,0.00019924497,0.00005757171,0.00009681558,0.00014282712,0.000011720035],"category_scores_gemma":[0.0004927229,0.000210193,0.00007260609,0.0001464611,0.00038212474,0.00013315438,0.00012663032,0.000360434,5.68818e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018839371,0.00097145356,0.17357682,0.0013649408,0.00051575305,0.0012169004,0.0005958506,0.0016867878,0.60313344,0.0001998078,0.00080948387,0.21574035],"study_design_scores_gemma":[0.0013348102,0.0001656339,0.07693164,0.0011229208,0.00017446355,0.00053865527,0.00007741963,0.91120136,0.0035871305,0.000038703576,0.004508244,0.0003190007],"about_ca_topic_score_codex":0.0001285453,"about_ca_topic_score_gemma":9.202935e-7,"teacher_disagreement_score":0.9095146,"about_ca_system_score_codex":0.000129394,"about_ca_system_score_gemma":0.000083076266,"threshold_uncertainty_score":0.85714215},"labels":[],"label_agreement":null},{"id":"W2768844403","doi":"10.18316/sdh.v5i3.4201","title":"Factor analysis of the 9-item Psychological Stress Measure in a French Canadian non-clinical student sample","year":2017,"lang":"en","type":"article","venue":"Saúde e Desenvolvimento Humano","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Cronbach's alpha; Psychology; Confirmatory factor analysis; Structural equation modeling; Construct validity; Exploratory factor analysis; Internal consistency; Statistics; Metric (unit); Sample (material); Test (biology); Factorial; Reliability (semiconductor); Social psychology; Clinical psychology; Psychometrics; Mathematics","score_opus":0.07303742339345551,"score_gpt":0.41150506890316796,"score_spread":0.3384676455097124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768844403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98785126,0.00019765172,0.000021720309,0.0006487441,0.0005391616,0.00076476735,0.0002006398,0.000018408275,0.009757621],"genre_scores_gemma":[0.99862045,0.000022693845,0.00018949434,0.00049179065,0.00019169679,0.00003619708,0.000053363932,0.000022948316,0.00037134337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708456,0.00019889133,0.00081022736,0.00052786956,0.00084042037,0.0005380598],"domain_scores_gemma":[0.99667346,0.0002672616,0.00039278556,0.0020633128,0.00020572307,0.00039743667],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008702753,0.00026809677,0.0009074473,0.00064892636,0.00030058186,0.00005105851,0.0009986846,0.0002731848,0.0013639806],"category_scores_gemma":[0.00095916894,0.00017740423,0.0005711748,0.00059217267,0.0005792608,0.00007161385,0.00014182809,0.0006403857,0.000013231756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045534176,0.00049299427,0.994399,0.000021173595,0.0012430504,0.00006343159,0.0009431255,0.0000033861577,0.0007227302,0.000115490504,0.0006065296,0.001343546],"study_design_scores_gemma":[0.0019594028,0.0002741812,0.99530816,0.00021560283,0.0009398282,0.0000021588298,0.00022728191,0.00009284083,0.0002925452,0.000119618046,0.0004054745,0.00016292241],"about_ca_topic_score_codex":0.06365079,"about_ca_topic_score_gemma":0.16222513,"teacher_disagreement_score":0.09857433,"about_ca_system_score_codex":0.00020407137,"about_ca_system_score_gemma":0.00016755839,"threshold_uncertainty_score":0.9995489},"labels":[],"label_agreement":null},{"id":"W2774225080","doi":"","title":"A Mathematical Representation of the Thermodilution Curve","year":2017,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Curve fitting; Representation (politics); Software; Work (physics); Measure (data warehouse); Mathematics; Matching (statistics); Cardiac output; Constant (computer programming); Applied mathematics; Computer science; Statistics; Engineering; Data mining","score_opus":0.03171518124275712,"score_gpt":0.32025740012965953,"score_spread":0.2885422188869024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774225080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90880454,0.00003593674,0.00006011591,0.001839712,0.00012416391,0.0004021622,0.0000015515265,0.000034288667,0.08869751],"genre_scores_gemma":[0.99860036,0.000011862431,0.0005407511,0.00012983066,0.00017952394,0.000022992772,0.0000011838926,0.000015089222,0.0004984128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991181,0.000005642172,0.0002267362,0.00015438802,0.00035235944,0.00014275541],"domain_scores_gemma":[0.9989757,0.00002355818,0.00028638617,0.0003949992,0.00026930336,0.00005008547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024777662,0.00009467663,0.00022033097,0.000052407227,0.00021855356,0.000025568534,0.00026142766,0.00007659152,0.00008921993],"category_scores_gemma":[0.0010940608,0.000056530356,0.00012999521,0.00011449392,0.00044778542,0.00014125135,0.00008307041,0.00016267403,0.000012655094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030185387,0.00025924586,0.59751266,0.000696852,0.000178927,0.0000054331044,0.004497262,2.452863e-7,0.31389177,0.07183797,0.004295059,0.0065227556],"study_design_scores_gemma":[0.0011387146,0.00014400191,0.87112904,0.0006827489,0.0001814593,0.00009385523,0.0006515404,0.00032972454,0.10661924,0.018661194,0.00027826158,0.0000902312],"about_ca_topic_score_codex":0.000010689616,"about_ca_topic_score_gemma":2.7496606e-7,"teacher_disagreement_score":0.2736164,"about_ca_system_score_codex":0.000022194276,"about_ca_system_score_gemma":0.000025596944,"threshold_uncertainty_score":0.23052411},"labels":[],"label_agreement":null},{"id":"W2789920943","doi":"10.3389/fpsyg.2018.00098","title":"Transdermal Optical Imaging Reveal Basal Stress via Heart Rate Variability Analysis: A Novel Methodology Comparable to Electrocardiography","year":2018,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Basal (medicine); Transdermal; Heart rate variability; Electrocardiography; Stress (linguistics); Psychology; Cardiology; Heart rate; Internal medicine; Medicine; Pharmacology","score_opus":0.025219800395242346,"score_gpt":0.34915575240940977,"score_spread":0.3239359520141674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789920943","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11862417,0.00033553757,0.86718774,0.0062511247,0.0020958732,0.00069392484,0.00002319731,0.00010500222,0.0046834527],"genre_scores_gemma":[0.6105293,0.0000122709425,0.37441853,0.014373698,0.00048660667,0.00008223838,0.000040689734,0.00003748256,0.000019170668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995466,0.001111614,0.000836857,0.0011177628,0.0003104468,0.0011573009],"domain_scores_gemma":[0.9978834,0.00029008163,0.0001026936,0.0010711416,0.00024056595,0.00041212465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0038094942,0.00038284884,0.0016487783,0.0023486128,0.00010128187,0.000012527038,0.00036598003,0.00031204973,0.00017712217],"category_scores_gemma":[0.00027554232,0.00036860842,0.00052245136,0.00411042,0.000950391,0.00008090265,0.00004137381,0.0008529652,0.00001971546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004627718,0.000756109,0.8855599,0.000054504086,0.002421475,0.00010605377,0.0008222904,0.00003936941,0.05731513,0.00013710179,0.04214984,0.0060104686],"study_design_scores_gemma":[0.0056577385,0.0012703813,0.97389966,0.00007221592,0.0019425296,0.00023212523,0.00020469222,0.0023321998,0.0040975427,0.005295385,0.0044935327,0.0005020161],"about_ca_topic_score_codex":0.00008325892,"about_ca_topic_score_gemma":0.000016617747,"teacher_disagreement_score":0.49276918,"about_ca_system_score_codex":0.00008332522,"about_ca_system_score_gemma":0.0000704872,"threshold_uncertainty_score":0.99987656},"labels":[],"label_agreement":null},{"id":"W2791785921","doi":"10.5220/0006624205110521","title":"Soft-tissue Artefact Assessment and Compensation in Motion Analysis by Combining Motion Capture Data and Ultrasound Depth Measurements","year":2018,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Motion compensation; Compensation (psychology); Motion (physics); Motion capture; Computer science; Motion analysis; Computer vision","score_opus":0.050672695944247496,"score_gpt":0.3425392090874451,"score_spread":0.2918665131431976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791785921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91517305,0.00022641414,0.0809745,0.00047184745,0.000096287884,0.00046967148,0.000027066942,0.00005416021,0.002507004],"genre_scores_gemma":[0.9947109,0.00004704747,0.0034365614,0.00034406924,0.00006867758,0.0000065668814,0.0013237448,0.000014937148,0.00004748959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840033,0.00012164085,0.00033977217,0.0004486174,0.00048053465,0.00020909715],"domain_scores_gemma":[0.9990415,0.00008386801,0.000121402,0.00048749926,0.00014397118,0.00012173928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010018647,0.00017439161,0.00036637185,0.00038327195,0.000097982615,0.000040103645,0.000090229536,0.00011349742,0.00018772397],"category_scores_gemma":[0.00012054937,0.00014794109,0.00002134787,0.00059852883,0.00013871935,0.00024492372,0.000047860583,0.00020023379,0.0000025745612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043338354,0.00018091267,0.950784,0.000039791783,0.00038840363,0.000004070021,0.0007010533,0.0000056729455,0.03533552,0.000040560186,0.00061055715,0.0118660955],"study_design_scores_gemma":[0.0023855614,0.00028648862,0.981745,0.00008262809,0.0009334577,0.00002904882,0.00092310365,0.011624261,0.0015868702,0.000119546254,0.0001262279,0.00015782316],"about_ca_topic_score_codex":0.00045345488,"about_ca_topic_score_gemma":0.0007242248,"teacher_disagreement_score":0.07953785,"about_ca_system_score_codex":0.00008391203,"about_ca_system_score_gemma":0.000023697015,"threshold_uncertainty_score":0.60328627},"labels":[],"label_agreement":null},{"id":"W2792836639","doi":"","title":"Transmission Ultrasound Imaging to Guide Thermal Therapy","year":2007,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transmission (telecommunications); Ultrasound; Medicine; Computer science; Radiology; Telecommunications","score_opus":0.009445561472869136,"score_gpt":0.2883910182569847,"score_spread":0.2789454567841156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792836639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8926557,0.0008268224,0.0014140076,0.0017863772,0.0001825689,0.00063761586,0.0000011701808,0.00029200574,0.102203734],"genre_scores_gemma":[0.9845212,0.00010917361,0.0066968645,0.0066142073,0.0008123873,0.00001985146,0.00000678498,0.00007404056,0.0011454882],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99804395,0.000004264417,0.00042227044,0.0003921909,0.0005261129,0.00061120704],"domain_scores_gemma":[0.9988979,0.000075474316,0.00007355788,0.00017282442,0.00034762107,0.00043259034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092764525,0.00026779374,0.00031706467,0.0003624194,0.00014663921,0.000035212004,0.00019991015,0.00009973549,0.0003563986],"category_scores_gemma":[0.00015121567,0.00020505565,0.00014232559,0.0006396664,0.00012728713,0.0001580609,0.000018995135,0.00031382867,0.00005462002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051153393,0.000089248875,0.06797547,0.000051719213,0.00004124738,0.000041527852,0.0037747438,2.1123677e-7,0.82768685,0.00024811825,0.008033614,0.09154574],"study_design_scores_gemma":[0.003089539,0.0006352256,0.26601785,0.0005525323,0.00008121896,0.0005329544,0.002418069,0.000020958063,0.48273376,0.00023207608,0.24324936,0.00043644692],"about_ca_topic_score_codex":0.000021928008,"about_ca_topic_score_gemma":2.8937546e-7,"teacher_disagreement_score":0.3449531,"about_ca_system_score_codex":0.0000858171,"about_ca_system_score_gemma":0.00004673904,"threshold_uncertainty_score":0.83619267},"labels":[],"label_agreement":null},{"id":"W2794934685","doi":"10.1002/ajpa.23469","title":"The thermoregulatory function of the human hand: How do palm and digit proportions affect heat loss?","year":2018,"lang":"en","type":"article","venue":"American Journal of Physical Anthropology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"University of Cambridge","keywords":"Numerical digit; Skin temperature; Body surface area; Mathematics; Medicine; Biomedical engineering; Surgery; Arithmetic","score_opus":0.007037149665574927,"score_gpt":0.288609575580809,"score_spread":0.28157242591523407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794934685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99189496,0.0002022864,0.00016666864,0.006902694,0.00030473742,0.00017030687,0.0000075991543,0.000008121036,0.0003426001],"genre_scores_gemma":[0.99838793,0.000039925355,0.000023616973,0.00025556292,0.0012144311,0.0000039301635,0.0000013807677,0.000017871374,0.000055335706],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988077,0.00019961777,0.00028740024,0.00013867377,0.00032956974,0.00023701909],"domain_scores_gemma":[0.99851674,0.00024694577,0.00047218893,0.0003298478,0.0003250138,0.00010928891],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00021140401,0.0001481723,0.0004904221,0.00008149115,0.00045094886,0.000015008703,0.00016906859,0.000037810627,0.00013775266],"category_scores_gemma":[0.00012762476,0.00006666423,0.00023573553,0.00033801387,0.02040155,0.000058589096,0.000050646653,0.0003644507,0.0000015551282],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018327484,0.0012667915,0.10379276,0.00008259416,0.0018676817,0.00007134718,0.0058152047,0.0000025004806,0.50940734,0.011908029,0.010349722,0.3536033],"study_design_scores_gemma":[0.0025402806,0.032698788,0.8765516,0.00044569647,0.0009876307,0.0011890449,0.008506392,0.000036607562,0.05913724,0.0081889825,0.009462303,0.00025541775],"about_ca_topic_score_codex":0.00003087278,"about_ca_topic_score_gemma":0.0000080041555,"teacher_disagreement_score":0.77275884,"about_ca_system_score_codex":0.00002740534,"about_ca_system_score_gemma":0.000087177476,"threshold_uncertainty_score":0.98226434},"labels":[],"label_agreement":null},{"id":"W2794987642","doi":"10.1364/translational.2018.jw3a.8","title":"Monitoring Joint Blood Flow with DCE TR-NIRS to Assess Treatment Response in Rheumatoid Arthritis","year":2018,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Lawson Health Research Institute; Western University","funders":"","keywords":"Rheumatoid arthritis; Medicine; Blood flow; Arthritis; Internal medicine","score_opus":0.030993717432559,"score_gpt":0.2885006975869602,"score_spread":0.25750698015440115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794987642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98988676,0.00035828428,0.0005994144,0.0013585514,0.0003143848,0.0007987832,0.000004981717,0.0001661287,0.006512729],"genre_scores_gemma":[0.97094315,0.0003814889,0.027033098,0.00030738642,0.00037255188,0.000120060635,0.0000039022198,0.000054256554,0.00078409404],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99808586,0.00012639746,0.00041399032,0.00042398187,0.0004504065,0.0004993942],"domain_scores_gemma":[0.99866015,0.00014048096,0.000059190177,0.0006250299,0.00017715066,0.0003379748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005781244,0.0002904823,0.0005476543,0.0005286564,0.00007526967,0.000022260832,0.000093104485,0.000101450336,0.0003849161],"category_scores_gemma":[0.00020218617,0.0002024601,0.00007815412,0.0006957415,0.00014326164,0.000078400786,0.000030317466,0.0001786705,0.000106180254],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.042398453,0.0037923462,0.44334108,0.00012715228,0.0014240411,0.006566579,0.024894426,0.00009240989,0.27573353,0.00031872463,0.0016083687,0.19970292],"study_design_scores_gemma":[0.024572756,0.031645652,0.43508905,0.005539602,0.00013725652,0.0013854117,0.003914475,0.00020557696,0.4934047,0.00005928387,0.0033413789,0.0007048642],"about_ca_topic_score_codex":0.0002343836,"about_ca_topic_score_gemma":0.00010254263,"teacher_disagreement_score":0.21767117,"about_ca_system_score_codex":0.00018566899,"about_ca_system_score_gemma":0.00017977637,"threshold_uncertainty_score":0.8256083},"labels":[],"label_agreement":null},{"id":"W2794988776","doi":"10.22034/nmrj.2017.04.007","title":"Simulation of tissue heating by magnetic fluid hyperthermia","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Hyperthermia; Mechanics; Materials science; Physics; Medicine; Internal medicine","score_opus":0.18098701888273205,"score_gpt":0.5565070337558126,"score_spread":0.3755200148730805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794988776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650704,0.017627891,0.0003884326,0.00030381352,0.000501548,0.00083777343,0.000039207815,0.000034852874,0.015196049],"genre_scores_gemma":[0.99576783,0.0024213528,0.00047516506,0.00032894278,0.0003242409,0.000019485302,0.00002118095,0.00007280553,0.0005689696],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970778,0.00015800976,0.0010691427,0.00037419097,0.0009415604,0.00037925076],"domain_scores_gemma":[0.9962353,0.00043829114,0.0013104075,0.0011604597,0.0005656984,0.0002898063],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012091442,0.0003218992,0.001077238,0.00066201534,0.00037302016,0.00034162446,0.0018748812,0.00016853555,0.011059316],"category_scores_gemma":[0.0015734116,0.00027610472,0.000187406,0.00041841622,0.00037610528,0.0011430649,0.00044457483,0.0004222093,0.000012713219],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037522166,0.00022065554,0.31303385,0.00023090953,0.00016722865,0.000049931685,0.00028939385,0.00050130795,0.608252,0.000012245054,0.006641409,0.0702259],"study_design_scores_gemma":[0.0029152364,0.00017366154,0.79530203,0.0022708252,0.000435945,0.000039000668,0.000118703334,0.0025094645,0.18540123,0.0013959089,0.008973784,0.00046423054],"about_ca_topic_score_codex":0.001047001,"about_ca_topic_score_gemma":0.000008471643,"teacher_disagreement_score":0.48226818,"about_ca_system_score_codex":0.000060689756,"about_ca_system_score_gemma":0.00011229049,"threshold_uncertainty_score":0.9999691},"labels":[],"label_agreement":null},{"id":"W2801639602","doi":"10.1139/tcsme-2013-0089","title":"SYNCHRONOUS MEASUREMENTS OF FINGER SURFACE TEMPERATURE FROM THREE DIFFERENT KINDS OF TEMPERATURE SENSORS","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thermistor; Thermography; Skin temperature; Thermopile; Temperature measurement; Materials science; Thermocouple; Surface (topology); Infrared; Acoustics; Optoelectronics; Biomedical engineering; Optics; Electrical engineering; Composite material; Engineering; Mathematics; Physics; Geometry; Thermodynamics","score_opus":0.011657214486054675,"score_gpt":0.20399901567222642,"score_spread":0.19234180118617175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801639602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947865,0.0002973418,0.0024726028,0.00079626066,0.0004126962,0.0008916276,0.0002970361,0.000027153857,0.000018770197],"genre_scores_gemma":[0.9926441,0.000010989632,0.007045763,0.000108109685,0.000056845245,0.000029223711,0.000018313458,0.00004200243,0.00004465241],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987396,0.00001275879,0.0003979205,0.00018599814,0.00036392803,0.00029980877],"domain_scores_gemma":[0.9988309,0.00010111011,0.00009822327,0.0004619191,0.00027180696,0.00023604887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014968084,0.00020895408,0.00048738765,0.00006118642,0.00009097571,0.000006336579,0.00021948529,0.0003263538,0.00019441698],"category_scores_gemma":[0.000052301977,0.00015475677,0.0007811046,0.00030550084,0.00007986092,0.000047673057,0.0000055198075,0.00045552765,4.3647657e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002168167,0.000060838753,0.00031786005,0.00035483827,0.00089179236,2.9692447e-7,0.00043138472,0.007347524,0.9900642,0.000056196197,0.00027933365,0.00017405643],"study_design_scores_gemma":[0.0020936327,0.00030761556,0.009293264,0.0010135521,0.0008794396,0.00000817178,0.00032730572,0.009854049,0.97574306,0.00014174616,0.00006504866,0.00027313476],"about_ca_topic_score_codex":0.009690776,"about_ca_topic_score_gemma":0.0038601786,"teacher_disagreement_score":0.014321158,"about_ca_system_score_codex":0.00020660908,"about_ca_system_score_gemma":0.00018720416,"threshold_uncertainty_score":0.9969038},"labels":[],"label_agreement":null},{"id":"W2804376572","doi":"","title":"Mammographic Density as a Risk Factor for Ovarian Cancer: A Pilot Study.","year":2010,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"MAMMOGRAPHIC DENSITY; Ovarian cancer; Medicine; Risk factor; Factor (programming language); Gynecology; Oncology; Obstetrics; Breast cancer; Cancer; Computer science; Internal medicine; Mammography","score_opus":0.005017017263337772,"score_gpt":0.19384304575903322,"score_spread":0.18882602849569544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804376572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96502507,0.000556562,0.0000075308767,0.00083792617,0.0010960356,0.001811649,0.0017810657,0.0000252434,0.028858922],"genre_scores_gemma":[0.98673964,0.0004934083,0.00052077306,0.00086132914,0.00029607269,0.0001434255,0.00015237436,0.00008598314,0.010706986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962102,0.00007349083,0.00051895983,0.00051223446,0.0022439836,0.00044114023],"domain_scores_gemma":[0.9981998,0.00032342275,0.0005234172,0.00045342423,0.0000048545567,0.0004950639],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000025111423,0.00046112348,0.00080800056,0.00012567193,0.00028917,0.000018867822,0.0002508675,0.000099839905,0.00019040944],"category_scores_gemma":[0.000025611042,0.00041661703,0.00009726808,0.00017719503,0.00008978332,0.00012003579,0.00004333313,0.00077608856,2.135849e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.033444975,0.0010151991,0.75672233,0.004102427,0.004286017,0.0007795596,0.0025178369,0.0000030967944,0.1097839,0.009277769,0.0013865926,0.07668032],"study_design_scores_gemma":[0.0032613203,0.0029577108,0.9408179,0.0006720151,0.0009553256,0.000016489454,0.009753198,0.000058619647,0.034173768,0.0010084405,0.0057621966,0.00056300545],"about_ca_topic_score_codex":0.04048899,"about_ca_topic_score_gemma":0.4902643,"teacher_disagreement_score":0.4497753,"about_ca_system_score_codex":0.000011377118,"about_ca_system_score_gemma":0.0042460337,"threshold_uncertainty_score":0.9998286},"labels":[],"label_agreement":null},{"id":"W2807650952","doi":"10.1055/s-0038-1656559","title":"Thermographic Patterns for Real-time Intraoperative Monitoring of Testicular Reperfusion Following Surgical Testicular Detorsion","year":2018,"lang":"en","type":"article","venue":"Revista Urología Colombiana / Colombian Urology Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"","keywords":"Scrotum; Medicine; Thermography; Testicular torsion; Testicle; Tunica vaginalis; Surgery; Anatomy; Infrared","score_opus":0.010809533199436363,"score_gpt":0.282032927702062,"score_spread":0.27122339450262567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807650952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934387,0.001414459,0.0006259275,0.0010966331,0.0009888512,0.0017037318,0.00003279147,0.00015673162,0.0005421341],"genre_scores_gemma":[0.99325496,0.00061371335,0.003766876,0.00041037932,0.0015557986,0.00008283893,0.00004526881,0.00013040088,0.00013978919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945619,0.00084461056,0.0016735089,0.0008891096,0.00080865744,0.0012221757],"domain_scores_gemma":[0.99494326,0.0012395759,0.0009497821,0.0008743094,0.00130534,0.00068775844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029478057,0.00065060024,0.0017260303,0.000862374,0.0007664793,0.00007796472,0.000563066,0.00079785293,0.00055122335],"category_scores_gemma":[0.002032113,0.00055967225,0.0008515545,0.0008965669,0.0010319119,0.00018385255,0.00015210158,0.0012449847,0.000029322886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005012434,0.0009605034,0.6645495,0.0002753227,0.0016991802,0.004015997,0.0008362004,0.000016882257,0.31418788,0.0004121294,0.0015235157,0.0065103993],"study_design_scores_gemma":[0.043925308,0.1271973,0.71034366,0.003369751,0.012755182,0.030170584,0.00072793744,0.0047984095,0.038727514,0.0020272285,0.022778494,0.0031786123],"about_ca_topic_score_codex":0.000024019564,"about_ca_topic_score_gemma":0.000001981444,"teacher_disagreement_score":0.2754604,"about_ca_system_score_codex":0.00018416625,"about_ca_system_score_gemma":0.00043520308,"threshold_uncertainty_score":0.99968547},"labels":[],"label_agreement":null},{"id":"W2808631443","doi":"10.1002/ejp.1216","title":"Grey correlations: A commentary on Chehadi et al.","year":2018,"lang":"en","type":"letter","venue":"European Journal of Pain","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Institut Universitaire de Gériatrie de Montréal; McGill University Health Centre","funders":"","keywords":"Precuneus; Middle temporal gyrus; Psychology; Grey matter; Chronic pain; Cognitive psychology; Medicine; Neuroscience; Cognition; Magnetic resonance imaging; Radiology","score_opus":0.02078345353444286,"score_gpt":0.27059540864270415,"score_spread":0.2498119551082613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808631443","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000651876,0.00055241835,0.0019620007,0.9701283,0.0017539597,0.0002838992,0.000024139641,0.000040311435,0.024603074],"genre_scores_gemma":[0.001246824,0.00016816877,0.0019153521,0.98121107,0.013847747,0.0000012295168,0.00020090093,0.00016170887,0.0012470174],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942719,0.0032686435,0.00097353983,0.00023315469,0.00092209806,0.00033071413],"domain_scores_gemma":[0.9972315,0.0006358765,0.0010071693,0.0005505146,0.00039834372,0.00017658678],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007692515,0.00036922816,0.00065328355,0.0007163858,0.000078607874,0.000029469831,0.00038240026,0.00012870212,0.00082545483],"category_scores_gemma":[0.0009494352,0.00027960903,0.00043302946,0.00023176575,0.00023263243,0.00007207633,0.000042830277,0.004550321,0.00024910842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017679457,0.00008492179,0.00050581316,0.00006136421,0.000424546,0.013470878,0.00044437623,0.0000014032754,0.00008302879,0.0000026134512,0.9813567,0.0033875855],"study_design_scores_gemma":[0.002158266,0.004154691,0.0019703647,0.003780915,0.00031952537,0.0009785182,0.000068450085,0.000013287827,0.0000133024205,0.000043850636,0.9862802,0.00021864013],"about_ca_topic_score_codex":0.000002257817,"about_ca_topic_score_gemma":1.8911084e-7,"teacher_disagreement_score":0.023356058,"about_ca_system_score_codex":0.00011577919,"about_ca_system_score_gemma":0.00009198598,"threshold_uncertainty_score":0.9999656},"labels":[],"label_agreement":null},{"id":"W2815527801","doi":"10.1109/aqtr.2018.8402698","title":"Remote measurement of body temperature for an indoor moving crowd","year":2018,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Temperature measurement; Environmental science; Remote sensing; Geology; Physics","score_opus":0.030897962293580748,"score_gpt":0.30628763794311165,"score_spread":0.2753896756495309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2815527801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713719,0.0002059986,0.0031937212,0.00076983206,0.00043754693,0.0011160609,0.00000900264,0.00012310978,0.022772826],"genre_scores_gemma":[0.979096,0.000005858911,0.018200133,0.0012919297,0.0009103109,0.000008463743,0.000011081991,0.000030998348,0.00044522126],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866694,0.00002829238,0.00031107554,0.00022984577,0.0005130827,0.00025078314],"domain_scores_gemma":[0.99828094,0.000027664279,0.000085506814,0.0004808987,0.0009813325,0.00014368151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000777341,0.00014435344,0.00031059346,0.00016814744,0.00007136412,0.0000072175158,0.00011489904,0.00013041667,0.000269605],"category_scores_gemma":[0.00033669756,0.00010379449,0.00010155174,0.00022787537,0.00016278226,0.00006553608,0.000017994185,0.00014328335,0.0000054379457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056729605,0.00011852588,0.0017361155,0.00016978181,0.00012906887,0.0000036271158,0.0005221342,1.3914025e-7,0.98202443,0.0004212498,0.00721071,0.007096913],"study_design_scores_gemma":[0.007179331,0.007707827,0.048942145,0.0008406644,0.00035497456,0.000062816005,0.0008992034,0.0006687672,0.92234033,0.00097501633,0.00972114,0.00030776084],"about_ca_topic_score_codex":0.000056530585,"about_ca_topic_score_gemma":0.000021163136,"teacher_disagreement_score":0.059684087,"about_ca_system_score_codex":0.000044227112,"about_ca_system_score_gemma":0.00010737965,"threshold_uncertainty_score":0.42326164},"labels":[],"label_agreement":null},{"id":"W285301807","doi":"","title":"Sympathetic Nervous System Changes In An Immobilized Limb: Methodological Pilot Study. (abstract)","year":2004,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Sympathetic nervous system; Physical medicine and rehabilitation; Physical therapy; Lower limb; Surgery; Internal medicine","score_opus":0.08566773699309324,"score_gpt":0.3100875895606555,"score_spread":0.22441985256756228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W285301807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950298,0.00029713634,0.0008715194,0.00044918497,0.00026077722,0.0013006915,0.000015796408,0.000260629,0.0015144472],"genre_scores_gemma":[0.9963049,0.000027245345,0.0032440512,0.000103237515,0.00012778875,0.000004267615,0.000029972765,0.000036250047,0.00012228506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974378,0.00040681087,0.0003598598,0.00060867204,0.00065045286,0.0005364546],"domain_scores_gemma":[0.9981192,0.00025063436,0.00028418528,0.0007830102,0.00024180481,0.00032117084],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016685985,0.00033582066,0.0010214726,0.00070889405,0.00021964672,0.000023576076,0.0004565716,0.00019254169,0.00021555433],"category_scores_gemma":[0.0001732568,0.00033606656,0.00018414675,0.00077822333,0.0005154373,0.0002103795,0.00012515878,0.0005496261,0.000041650095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017073119,0.031904344,0.3073188,0.0039678435,0.0024518545,0.015238409,0.10162713,0.001607841,0.02186654,0.4949352,0.00014945422,0.0018594636],"study_design_scores_gemma":[0.0153212715,0.021160757,0.29246148,0.0005239605,0.0007388803,0.00029518924,0.14475524,0.00005071028,0.000026770877,0.5240355,0.0000451218,0.0005850814],"about_ca_topic_score_codex":0.0013409099,"about_ca_topic_score_gemma":0.0019538759,"teacher_disagreement_score":0.043128118,"about_ca_system_score_codex":0.000434696,"about_ca_system_score_gemma":0.00013450262,"threshold_uncertainty_score":0.99990916},"labels":[],"label_agreement":null},{"id":"W2885119082","doi":"","title":"Factor Structure of McGill Quality of Life Questionnaire in Patients with Heart Disease: Second-order Confirmatory Factor Analysis","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Confirmatory factor analysis; Epidemiology; Disease; Factor (programming language); Medicine; Quality of life (healthcare); Risk factor; Order (exchange); Gerontology; Statistics; Computer science; Internal medicine; Structural equation modeling; Mathematics; Business","score_opus":0.11187651760983766,"score_gpt":0.5031738680535496,"score_spread":0.39129735044371194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885119082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945069,0.0026672338,0.000057391382,0.00009107173,0.00025304532,0.0008512291,0.0013842393,0.000024783762,0.00016408437],"genre_scores_gemma":[0.99883366,0.00013212471,0.00016068402,0.000614891,0.000101626094,0.000010027749,0.0000687566,0.000052691703,0.000025553738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953659,0.00050622417,0.0017636975,0.0004946912,0.0014787378,0.00039073458],"domain_scores_gemma":[0.99452347,0.00019715253,0.0017538517,0.00092129403,0.002021255,0.000583002],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005738692,0.00042763958,0.00203234,0.0019890673,0.00011327428,0.000055343382,0.0009691736,0.000185865,0.017947603],"category_scores_gemma":[0.0009703296,0.00032611963,0.0003197815,0.0028396167,0.0006727774,0.0008689662,0.00023506675,0.00051991234,0.0000019730935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026448632,0.00054847845,0.96909666,0.0006379601,0.0013513333,0.0000051658235,0.00036023595,0.000020351776,0.024278427,0.000020604039,0.00065914384,0.00037678325],"study_design_scores_gemma":[0.0028999567,0.00010289317,0.987749,0.0010808797,0.00053090905,8.631391e-7,0.00006800943,0.000012265443,0.006746822,0.00024443408,0.00024480544,0.00031918212],"about_ca_topic_score_codex":0.0008606447,"about_ca_topic_score_gemma":0.0002461215,"teacher_disagreement_score":0.018652325,"about_ca_system_score_codex":0.0001086612,"about_ca_system_score_gemma":0.00037453944,"threshold_uncertainty_score":0.99991906},"labels":[],"label_agreement":null},{"id":"W2886370080","doi":"10.11159/icmie18.110","title":"Distinction of Electromyography Signal in Normal and Neuropathy Patients Using Wavelet Feature","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Science, ICT and Future Planning","keywords":"Electromyography; Wavelet; Feature (linguistics); Pattern recognition (psychology); Speech recognition; Wavelet transform; Computer science; Artificial intelligence; SIGNAL (programming language); Medicine; Physical medicine and rehabilitation","score_opus":0.004285337489703703,"score_gpt":0.19974746930377033,"score_spread":0.19546213181406663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886370080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99916154,0.000007988409,0.0000014814,0.000070168586,0.00037471013,0.00025735618,0.000010236371,0.000026358275,0.00009015472],"genre_scores_gemma":[0.99848735,0.00001554128,0.0011805559,0.000057851194,0.00021073406,0.000007835738,0.000003117086,0.000025800548,0.000011237181],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990272,0.0000047272033,0.0002921252,0.00022582163,0.000224283,0.00022583801],"domain_scores_gemma":[0.9994949,0.000027389977,0.00015297477,0.00008530281,0.0001594884,0.000079912235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001414349,0.0001824771,0.00035125445,0.00022411434,0.000034774173,0.000016113718,0.000108671076,0.00008859888,0.000013556253],"category_scores_gemma":[0.00009827866,0.00013730774,0.000056699817,0.00038437944,0.00015743716,0.00006852081,0.00009543247,0.00022857187,5.9373885e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061581633,0.000069543064,0.001745847,0.00036535042,0.0000268743,6.610167e-7,0.000013776159,6.519308e-7,0.9963147,0.00046640163,0.000049690665,0.00033066844],"study_design_scores_gemma":[0.0011925651,0.00038826722,0.0025034933,0.0008201401,0.000080354665,0.000014322647,0.000013428132,0.0011420476,0.9935441,0.00008725842,0.00009387854,0.000120154386],"about_ca_topic_score_codex":0.000005703459,"about_ca_topic_score_gemma":3.6180094e-7,"teacher_disagreement_score":0.0027706292,"about_ca_system_score_codex":0.000018595403,"about_ca_system_score_gemma":0.000008167608,"threshold_uncertainty_score":0.55992466},"labels":[],"label_agreement":null},{"id":"W2889155740","doi":"10.20944/preprints201808.0152.v1","title":"Thermography Quantification of Human Perfusion Thermal Signature","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Thermography; Perfusion; Blood flow; Materials science; SIGNAL (programming language); Biomedical engineering; Infrared; Hemodynamics; Excitation; Optics; Medicine; Physics; Cardiology; Computer science","score_opus":0.08884685153323638,"score_gpt":0.3610002573421976,"score_spread":0.2721534058089612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889155740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684166,0.0006735819,0.00008420991,0.00041795624,0.00090897264,0.0016901473,0.000044197008,0.00029575152,0.027468603],"genre_scores_gemma":[0.9970944,0.0001731448,0.00029693975,0.00023445566,0.00094873126,0.00013107447,0.0004331275,0.00012387418,0.00056426047],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9959359,0.00027533987,0.0010826901,0.0012298708,0.0010003289,0.00047583066],"domain_scores_gemma":[0.9947775,0.00008083527,0.00095281744,0.0030872887,0.0008740146,0.00022751506],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014099625,0.0006153098,0.0010708371,0.0008155811,0.00016636185,0.000010058539,0.0008224085,0.0011265735,0.0043652644],"category_scores_gemma":[0.00024098439,0.0005323467,0.00075836846,0.000523386,0.0008029312,0.000063499734,0.000943003,0.0020119513,0.00025843317],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002528582,0.00035124167,0.40624434,0.0005669404,0.0002922246,0.000013937428,0.0015083948,0.000012838134,0.5896689,0.00022364243,0.0001507781,0.0007138863],"study_design_scores_gemma":[0.0008392166,0.00019881313,0.6942532,0.0013003494,0.00043657995,0.000011448446,0.00013657271,0.000039199334,0.30088818,0.0011317799,0.0004254216,0.0003392121],"about_ca_topic_score_codex":0.00012675994,"about_ca_topic_score_gemma":0.0000030062158,"teacher_disagreement_score":0.28878072,"about_ca_system_score_codex":0.00008243201,"about_ca_system_score_gemma":0.00019325546,"threshold_uncertainty_score":0.9997128},"labels":[],"label_agreement":null},{"id":"W2891149577","doi":"10.1016/j.jtherbio.2018.09.002","title":"A new local index for predicting local thermal response of individual body segments","year":2018,"lang":"en","type":"article","venue":"Journal of Thermal Biology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal sensation; Thermoreceptor; Thermal; Thermal comfort; Index (typography); Materials science; Environmental science; Mechanics; Thermodynamics; Medicine; Computer science; Physics; Internal medicine; Receptor","score_opus":0.01678120509968336,"score_gpt":0.30738375505720755,"score_spread":0.2906025499575242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891149577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9499597,0.00040638968,0.0473943,0.00069241214,0.0008573559,0.00033371922,0.00002973801,0.000018087148,0.0003082963],"genre_scores_gemma":[0.99340284,0.000008077899,0.0034265716,0.0009110858,0.0021135348,0.0000040177856,0.000008550398,0.00003465203,0.000090697875],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99767226,0.00031185325,0.0009767935,0.00019057619,0.00039838225,0.00045010567],"domain_scores_gemma":[0.9976054,0.0004835764,0.0008376799,0.0002681721,0.00052831916,0.00027685863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002272063,0.00022581885,0.00071417034,0.0004503898,0.00007214064,0.000006431095,0.0004025186,0.000340107,0.0003670941],"category_scores_gemma":[0.0005034953,0.00015707403,0.00032072203,0.00024134881,0.00078234996,0.00008945028,0.00009371034,0.0004935075,0.0000056303884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.057163328,0.00029686769,0.124195606,0.0000754482,0.0015978159,0.00008966893,0.002297695,0.000041117422,0.7154115,0.000096493066,0.0020763744,0.09665811],"study_design_scores_gemma":[0.028171565,0.049718056,0.6440895,0.0010496058,0.0013376147,0.002037703,0.002417688,0.0010467498,0.263632,0.0007363043,0.0052900636,0.0004731508],"about_ca_topic_score_codex":0.000020049822,"about_ca_topic_score_gemma":0.0000012480939,"teacher_disagreement_score":0.5198939,"about_ca_system_score_codex":0.00007504105,"about_ca_system_score_gemma":0.00051706797,"threshold_uncertainty_score":0.64052933},"labels":[],"label_agreement":null},{"id":"W2893827344","doi":"10.31609/jpmrs.2018-61139","title":"Comparison of the Effects of Pulse Electromagnetic Field Therapy and Transcutaneous Electrical Nerve Stimulation Therapy on Pain and Functionality in Knee Osteoarthritis: Randomized Clinical Trial","year":2018,"lang":"en","type":"article","venue":"Fiziksel Tıp ve Rehabilitasyon Bilimleri Dergisi","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University","keywords":"Transcutaneous electrical nerve stimulation; Medicine; Osteoarthritis; Randomized controlled trial; Stimulation; Physical therapy; Physical medicine and rehabilitation; Anesthesia; Surgery; Internal medicine; Alternative medicine","score_opus":0.019473783520017846,"score_gpt":0.32633831325885304,"score_spread":0.3068645297388352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893827344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866549,0.0069576874,0.000085277235,0.00069453474,0.00041390027,0.0049865087,0.0000055308165,0.000034054065,0.00016765007],"genre_scores_gemma":[0.9980506,0.0004928769,0.00045196642,0.0004936145,0.0002743179,0.00017819156,0.000010445984,0.000031826643,0.000016164713],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99346215,0.0034499776,0.0015596076,0.0005681994,0.00060330384,0.0003567501],"domain_scores_gemma":[0.9798818,0.018586723,0.0003814503,0.0007817249,0.00023454725,0.00013372282],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0040896107,0.00033304424,0.0016070544,0.00026236096,0.00008432447,0.000011080927,0.00016290075,0.00038050392,0.00011564692],"category_scores_gemma":[0.009209187,0.00021777283,0.00044622167,0.000631737,0.0012892555,0.00005292736,0.000029589046,0.0006327056,7.0984106e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.6412773,0.0019249994,0.06477145,0.00025684523,0.00022272873,0.000009212078,0.0014510148,0.0000039092515,0.01255836,0.00019164823,0.00011298057,0.27721953],"study_design_scores_gemma":[0.5756716,0.17422554,0.23804995,0.0007127995,0.0001845318,0.00003837321,0.00008701011,0.0015884162,0.0063306773,0.0026554775,0.00016753013,0.00028810115],"about_ca_topic_score_codex":0.000079411344,"about_ca_topic_score_gemma":0.000019776076,"teacher_disagreement_score":0.27693143,"about_ca_system_score_codex":0.000043278153,"about_ca_system_score_gemma":0.0001287938,"threshold_uncertainty_score":0.9991367},"labels":[],"label_agreement":null},{"id":"W2898824938","doi":"10.1515/jbcpp-2017-0218","title":"Clinical assessment of arthritic knee pain by infrared thermography","year":2018,"lang":"en","type":"review","venue":"Journal of Basic and Clinical Physiology and Pharmacology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Thermography; Rheumatoid arthritis; Medicine; Osteoarthritis; Skin temperature; Arthritis; Physical therapy; Inflammatory arthritis; Knee pain; Dermatology; Internal medicine; Infrared; Pathology","score_opus":0.050978883383166744,"score_gpt":0.4609404072695666,"score_spread":0.40996152388639984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898824938","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026791694,0.9696985,0.00006286384,0.00016738297,0.0021981234,0.0006184986,0.00004791722,0.000011657674,0.00040340037],"genre_scores_gemma":[0.004528385,0.989185,0.00044654583,0.0029860344,0.0027003046,0.000013642016,0.000037446378,0.00003988718,0.00006280851],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9911267,0.0039065406,0.0038728965,0.00048213312,0.0002353316,0.00037639402],"domain_scores_gemma":[0.98927987,0.0068227,0.00276128,0.00028454151,0.00036731162,0.00048431594],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0069589587,0.00046442094,0.0053175963,0.00034559146,0.00007652664,0.0000045132456,0.0002456045,0.001241868,0.00060834456],"category_scores_gemma":[0.0005209721,0.00030476463,0.0015971367,0.0002795247,0.0033148709,0.00005476148,0.00011399119,0.0027573465,0.0000025159773],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091333303,0.0016276429,0.0058271387,0.00774593,0.0067733787,0.00013913898,0.00003564888,2.2248429e-8,0.00016096815,0.00004976616,0.055962022,0.920765],"study_design_scores_gemma":[0.008319929,0.022115624,0.015203817,0.006787237,0.012538862,0.0006122406,0.00004377446,0.0000148977115,0.0000044563453,0.0015968913,0.932364,0.00039829884],"about_ca_topic_score_codex":0.0000010048966,"about_ca_topic_score_gemma":1.3578405e-7,"teacher_disagreement_score":0.9203667,"about_ca_system_score_codex":0.00001696721,"about_ca_system_score_gemma":0.0005602874,"threshold_uncertainty_score":0.99994045},"labels":[],"label_agreement":null},{"id":"W2901337344","doi":"10.4236/oalib.1105009","title":"An Investigative Analysis on Mapping X-Ray to Live Using Convolution Neural Networks for Detection of Genu Valgum","year":2018,"lang":"en","type":"article","venue":"OALib","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Genu Valgum; Convolution (computer science); Convolutional neural network; Computer science; Artificial intelligence; Artificial neural network; Orthodontics; Medicine","score_opus":0.039125683355382794,"score_gpt":0.3064295256175681,"score_spread":0.2673038422621853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901337344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8704831,0.000029227318,0.12841593,0.00010123962,0.00028207086,0.00053810066,0.0000062678273,0.00004633259,0.0000977104],"genre_scores_gemma":[0.99273646,0.000001530616,0.0055989507,0.00071433745,0.00083469646,0.00002353778,0.000043339467,0.000023163153,0.000023965356],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989088,0.000088966226,0.00028411084,0.0002686127,0.0002094679,0.0002400145],"domain_scores_gemma":[0.9989317,0.000060704475,0.00016648819,0.000314876,0.00035946243,0.00016676744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034455332,0.00013969987,0.00034767593,0.0005425362,0.00011184887,0.000007633736,0.00007353075,0.00010759522,0.000032087064],"category_scores_gemma":[0.00012912462,0.0001257677,0.00014960236,0.0011566536,0.00023045867,0.000070494636,0.000013157675,0.00012610444,0.0000027910853],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012276815,0.00018233246,0.022116141,0.00010512051,0.0015903409,0.000007707976,0.010337108,0.024607956,0.9270936,0.00015827583,0.00011398023,0.012459702],"study_design_scores_gemma":[0.0013377769,0.0042510917,0.101338424,0.00025753176,0.0016951496,0.0000061807036,0.0015363375,0.8441495,0.04482851,0.00026827297,0.000108016466,0.00022323718],"about_ca_topic_score_codex":0.00011716394,"about_ca_topic_score_gemma":0.000029852255,"teacher_disagreement_score":0.88226515,"about_ca_system_score_codex":0.00008270332,"about_ca_system_score_gemma":0.000025201472,"threshold_uncertainty_score":0.51286584},"labels":[],"label_agreement":null},{"id":"W2901944459","doi":"10.1371/journal.pone.0206477","title":"Development and validation of an algorithm to predict the treatment modality of burn wounds using thermographic scans: Prospective cohort study","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Medicine; Algorithm; Cohort; Thermography; Modality (human–computer interaction); Burn wound; Cohort study; Burn center; Surgery; Prospective cohort study; Artificial intelligence; Poison control; Internal medicine; Computer science; Emergency medicine; Wound healing","score_opus":0.042728259302843664,"score_gpt":0.285685960298576,"score_spread":0.24295770099573236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901944459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99568045,0.00006988252,0.00033878503,0.000051636154,0.00003205439,0.00351399,0.000018521447,0.000034656423,0.00026003236],"genre_scores_gemma":[0.9820417,0.00001734163,0.017534256,0.000033392396,0.00015100391,0.00016471096,0.000014798495,0.000022257738,0.000020537527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998261,0.00010967401,0.00042647737,0.0003041326,0.00071474223,0.00018397383],"domain_scores_gemma":[0.99869007,0.000042291336,0.00017204025,0.00048275254,0.0005008141,0.00011201172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007399969,0.00017846432,0.0004959039,0.00022410261,0.00011832478,0.000007977408,0.00009662085,0.000056456403,0.000030376714],"category_scores_gemma":[0.00004700782,0.000114308285,0.000039743052,0.00055052596,0.0003004766,0.00006429418,0.000029848987,0.00008887114,6.053457e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033831195,0.009261194,0.9266328,0.0000674274,0.0024275782,0.0000042663046,0.023355579,0.0000019190554,0.031189883,0.000013482778,6.7906524e-7,0.0067068683],"study_design_scores_gemma":[0.0017343152,0.0067999396,0.80141693,0.00028977543,0.0011720089,0.000004388936,0.002176992,0.0006342236,0.18555506,0.00011450301,0.000002707805,0.00009913387],"about_ca_topic_score_codex":0.00024296626,"about_ca_topic_score_gemma":0.000027746066,"teacher_disagreement_score":0.15436517,"about_ca_system_score_codex":0.00011924919,"about_ca_system_score_gemma":0.000102511956,"threshold_uncertainty_score":0.46613565},"labels":[],"label_agreement":null},{"id":"W2902574646","doi":"10.1007/s00421-018-4041-6","title":"Utility of lacrimal caruncle infrared thermography when monitoring alterations in autonomic activity in healthy humans","year":2018,"lang":"en","type":"article","venue":"European Journal of Applied Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"Thompson Rivers University","keywords":"Thermography; Heart rate; Medicine; Blood pressure; Hemodynamics; Heart rate variability; Pulse (music); Sympathetic nervous system; Skin temperature; Anesthesia; Autonomic nervous system; Cardiology; Internal medicine; Biomedical engineering; Infrared","score_opus":0.025642537817991803,"score_gpt":0.2843592600742308,"score_spread":0.258716722256239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902574646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97901464,0.00009314348,0.000081180835,0.00013517342,0.0003324206,0.0002598555,0.0000059924937,0.0000150405995,0.020062558],"genre_scores_gemma":[0.9975988,0.000033228884,0.0013576008,0.00019977996,0.00076334196,0.0000032210335,0.0000035251103,0.000032530137,0.000007965269],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99795586,0.0004050893,0.0008706798,0.00024028408,0.00019166707,0.00033642625],"domain_scores_gemma":[0.9986991,0.000109353976,0.00052944396,0.00037468024,0.00016341906,0.00012399151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010976174,0.00019210734,0.0006657067,0.00063862855,0.000057492183,0.0000051867764,0.00025048567,0.00006137302,0.00012268891],"category_scores_gemma":[0.00004345045,0.00016742553,0.0001485141,0.0003822274,0.00043480637,0.000085420965,0.0000632169,0.0007042966,0.0000074596996],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016762314,0.0007699592,0.032625288,0.00010879229,0.00017438729,0.00007816675,0.012241746,0.000052018582,0.9269964,0.00031863523,0.00027987213,0.009592386],"study_design_scores_gemma":[0.0036412652,0.0014548027,0.9729085,0.00016569375,0.00003561132,0.0000140589955,0.00052562024,0.00005865616,0.019888356,0.0009365054,0.00025993332,0.00011098847],"about_ca_topic_score_codex":0.000032124575,"about_ca_topic_score_gemma":0.000008582612,"teacher_disagreement_score":0.94028324,"about_ca_system_score_codex":0.000053876392,"about_ca_system_score_gemma":0.00015400631,"threshold_uncertainty_score":0.6827415},"labels":[],"label_agreement":null},{"id":"W2906391337","doi":"10.33233/fb.v18i4.1204","title":"Intervenção fisioterapêutica na dor e no mapa termográfico de idosas submetidas í  cirurgia de câncer de mama","year":2017,"lang":"pt","type":"article","venue":"Fisioterapia Brasil","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gynecology","score_opus":0.0198864686252579,"score_gpt":0.3167929433010351,"score_spread":0.2969064746757772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906391337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95731604,0.004596361,0.003109696,0.009050907,0.005799515,0.0021192066,0.0007329389,0.00052267866,0.016752636],"genre_scores_gemma":[0.96432173,0.0009296347,0.0045437412,0.009295376,0.0047598192,0.00018675296,0.0001769095,0.00045322173,0.015332838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98958105,0.00095732656,0.0020035775,0.0018963938,0.0016073184,0.003954311],"domain_scores_gemma":[0.98955625,0.00081157224,0.0013669302,0.005467621,0.00056471035,0.0022329143],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003356945,0.0017373371,0.0021871277,0.0011156728,0.0016089063,0.0009909082,0.0035654625,0.0018120996,0.011343724],"category_scores_gemma":[0.0033648845,0.0016757374,0.001546712,0.000553502,0.0016051683,0.0006594419,0.00092209404,0.0033515862,0.0016049354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047504804,0.0024405885,0.6362598,0.0026903357,0.0031372055,0.00802557,0.016398204,0.000010440958,0.06712713,0.00049608754,0.19088693,0.06777722],"study_design_scores_gemma":[0.01200977,0.0031708009,0.92124087,0.009901623,0.0013203527,0.0014594134,0.00055199675,0.0036983164,0.013169524,0.00081338023,0.030643238,0.0020206913],"about_ca_topic_score_codex":0.0010231659,"about_ca_topic_score_gemma":0.00007656903,"teacher_disagreement_score":0.28498107,"about_ca_system_score_codex":0.0011846266,"about_ca_system_score_gemma":0.0010723064,"threshold_uncertainty_score":0.9996909},"labels":[],"label_agreement":null},{"id":"W2924199213","doi":"10.1007/s00421-019-04122-9","title":"Reply to the Letter to the Editor: Utility of lacrimal caruncle infrared thermography when monitoring alterations in autonomic activity in healthy humans","year":2019,"lang":"en","type":"letter","venue":"European Journal of Applied Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Thermography; Human physiology; Medicine; Ophthalmology; Infrared; Internal medicine; Optics; Physics","score_opus":0.021001144423104842,"score_gpt":0.2656709205764423,"score_spread":0.24466977615333746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924199213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71116114,0.00012055544,0.000070392525,0.2777189,0.004806599,0.0015269733,0.000048954058,0.000019630532,0.0045268293],"genre_scores_gemma":[0.66082036,0.000019403422,0.00031535004,0.30631217,0.03234999,0.000029875075,0.000018611043,0.00008544827,0.000048802598],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99569035,0.0012934661,0.0013451804,0.0005181377,0.0005286395,0.0006242236],"domain_scores_gemma":[0.99693936,0.0005341829,0.0008964815,0.0013183756,0.00020137201,0.000110208275],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0024941403,0.00044460816,0.0011892767,0.00084630214,0.00010712416,0.000021759495,0.001022191,0.0002048473,0.00007073708],"category_scores_gemma":[0.00010307557,0.00027755587,0.00035576377,0.0005367713,0.00023656497,0.00006623936,0.00022009264,0.0044368166,0.00004106907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004795191,0.00013582873,0.0006736187,0.00013630558,0.00022785769,0.000104714,0.00879545,0.00035777094,0.027457384,0.000006343872,0.9558516,0.001457891],"study_design_scores_gemma":[0.0020695436,0.0013391152,0.3219248,0.000467819,0.000119080665,0.000019002488,0.00033572168,0.000013854193,0.0008667249,0.00011365603,0.6724493,0.00028137703],"about_ca_topic_score_codex":0.00008976802,"about_ca_topic_score_gemma":0.000008311448,"teacher_disagreement_score":0.32125118,"about_ca_system_score_codex":0.00015154325,"about_ca_system_score_gemma":0.0002442187,"threshold_uncertainty_score":0.99996763},"labels":[],"label_agreement":null},{"id":"W2942888071","doi":"10.5539/jas.v11n6p138","title":"Use of Thermography in Reconstructive Surgery Associated With Laser Therapy—Review of Literature","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Vitality; Thermography; Human medicine; Reconstructive surgery; Orthopedic surgery; Low level laser therapy; Laser therapy; Surgery; Laser; Traditional medicine; Biology","score_opus":0.01509086934263867,"score_gpt":0.23966517543775223,"score_spread":0.22457430609511356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942888071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99213314,0.006735626,3.4647772e-7,0.00035621552,0.00017159485,0.0002903821,0.000007427081,0.0000037903283,0.0003014827],"genre_scores_gemma":[0.99272805,0.0066676205,0.00025239016,0.0002794508,0.000035905738,0.000001098548,0.0000033389442,0.0000044916587,0.000027654605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980368,0.00009619732,0.0006500654,0.0001371364,0.00087427406,0.0002055265],"domain_scores_gemma":[0.99664015,0.00033933105,0.0010763694,0.00015372327,0.0016889307,0.00010151714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013214563,0.0001372054,0.0007078907,0.00046284343,0.000020055197,0.000012043245,0.00018798976,0.00006117756,0.00006846845],"category_scores_gemma":[0.00051916344,0.000058722173,0.00024566203,0.003914354,0.0004372907,0.0005868567,0.000014386929,0.00034895825,3.4604324e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033528625,0.00025277433,0.7906115,0.0005273718,0.0001994159,0.000043890814,0.000936436,0.000009547149,0.20254825,0.000024275863,0.00053345755,0.0039777765],"study_design_scores_gemma":[0.00066460547,0.000618883,0.9565318,0.029513087,0.000046869493,0.00030972512,0.00023142455,9.738284e-7,0.011963685,0.000014388391,0.000024844418,0.00007971627],"about_ca_topic_score_codex":0.000007824152,"about_ca_topic_score_gemma":0.0000017000727,"teacher_disagreement_score":0.19058456,"about_ca_system_score_codex":0.000052809595,"about_ca_system_score_gemma":0.00020365561,"threshold_uncertainty_score":0.23946208},"labels":[],"label_agreement":null},{"id":"W2952969196","doi":"10.12681/eadd/40399","title":"Μελέτη των παραγόντων κινδύνου για καρκίνο του μαστού στην Ελλάδα","year":2013,"lang":"el","type":"dissertation","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; Gynecology; Internal medicine; Cancer","score_opus":0.008938704229642744,"score_gpt":0.28093112345544247,"score_spread":0.2719924192257997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952969196","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41808057,0.011962057,0.0006615993,0.0021875985,0.016258502,0.006262854,0.00019035158,0.0012227152,0.54317373],"genre_scores_gemma":[0.5114044,0.0050794943,0.004183778,0.008955503,0.00959524,0.0010883285,0.0099253515,0.001151295,0.4486166],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9883947,0.00041268455,0.0030152772,0.0023447187,0.0032293913,0.002603248],"domain_scores_gemma":[0.9910118,0.0006859628,0.0014882562,0.0033038852,0.0019524111,0.0015576821],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0013282488,0.0025135977,0.0033834854,0.0022809408,0.0006004847,0.00021410693,0.0015329415,0.003088942,0.058003698],"category_scores_gemma":[0.0011015064,0.002114445,0.0014085113,0.0021581082,0.0006645409,0.0005196835,0.00017599223,0.0039121727,0.014489402],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003367617,0.0036562872,0.018920723,0.010337272,0.007264019,0.0019660806,0.023930153,0.00003252995,0.08078111,0.019831063,0.7010177,0.12889549],"study_design_scores_gemma":[0.042153202,0.011425289,0.3896111,0.031047689,0.019115154,0.0012135307,0.09550292,0.0027718097,0.07642183,0.006636848,0.30944228,0.014658326],"about_ca_topic_score_codex":0.0028976474,"about_ca_topic_score_gemma":0.00023109507,"teacher_disagreement_score":0.39157537,"about_ca_system_score_codex":0.00046143262,"about_ca_system_score_gemma":0.001130542,"threshold_uncertainty_score":0.99876},"labels":[],"label_agreement":null},{"id":"W2953420740","doi":"10.1249/01.mss.0000562839.22899.23","title":"Not Just for Joints: Physical Activity is Associated with Greater Cortical Thickness among Adults with Osteoarthritis","year":2019,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Osteoarthritis; Medicine; Dementia; Neuroimaging; Magnetic resonance imaging; Physical therapy; Physical medicine and rehabilitation; Internal medicine; Pathology; Radiology","score_opus":0.012756934053063027,"score_gpt":0.2644121011599134,"score_spread":0.2516551671068504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953420740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933681,0.000013662079,0.00006167179,0.0013031681,0.00043307038,0.0031035875,0.000017519791,0.00012851658,0.0015707187],"genre_scores_gemma":[0.9976459,0.00002311513,0.00023446456,0.0008268279,0.00023887322,0.00024883202,0.000028641582,0.00006839408,0.00068495335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946034,0.000044511908,0.00049578166,0.0011934376,0.00253383,0.0011290418],"domain_scores_gemma":[0.99719024,0.00021906463,0.00032982155,0.0009507712,0.00075616926,0.00055391033],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0016571404,0.000518271,0.0014348633,0.000648528,0.0002254721,0.000028366561,0.00038628594,0.00017334783,0.00039747276],"category_scores_gemma":[0.00043739565,0.00031723318,0.00011108453,0.0022491044,0.0037953693,0.0005578288,0.000070027665,0.00083879754,0.000014035425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004355165,0.0005294548,0.95799977,0.00017234338,0.0000066949706,0.0007173095,0.0097003635,0.0000056633617,0.0019605455,0.000007446981,0.0001935246,0.024351716],"study_design_scores_gemma":[0.011675097,0.003948703,0.9694325,0.00884494,0.0003424209,0.00015745276,0.0029641858,0.0008825138,0.0012729326,0.000026717176,0.000034951627,0.0004175872],"about_ca_topic_score_codex":0.00018806705,"about_ca_topic_score_gemma":0.000047793663,"teacher_disagreement_score":0.023934128,"about_ca_system_score_codex":0.00021779342,"about_ca_system_score_gemma":0.00042193037,"threshold_uncertainty_score":0.999928},"labels":[],"label_agreement":null},{"id":"W2953921191","doi":"10.1007/978-981-13-5859-3_8","title":"Noncontact-Body-Temperature-Measurement","year":2019,"lang":"fr","type":"book-chapter","venue":"World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Materials science","score_opus":0.013082322923746328,"score_gpt":0.2377316333581808,"score_spread":0.22464931043443445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953921191","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01251807,0.06539289,0.0018090543,0.015759673,0.08241937,0.00983789,0.002231342,0.0020317114,0.80799997],"genre_scores_gemma":[0.5816527,0.015896337,0.0007930236,0.022051873,0.038947146,0.00036028508,0.0024772815,0.0019542198,0.33586714],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9846413,0.00021993606,0.0025423362,0.0021940623,0.007852595,0.0025497845],"domain_scores_gemma":[0.9908733,0.00093585986,0.00080483477,0.0024108607,0.00065860915,0.004316541],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0025413674,0.0026909073,0.0036841794,0.0011465556,0.00032332278,0.00015703181,0.0014812549,0.0025934381,0.011649532],"category_scores_gemma":[0.00052099867,0.0023150295,0.001152283,0.0006873023,0.002620177,0.00023095816,0.00068528857,0.0075556883,0.001910595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018172144,0.005056107,0.0006881954,0.013102769,0.014283719,0.013120052,0.0006332798,0.00017255475,0.0136336405,0.35085446,0.3750694,0.21156862],"study_design_scores_gemma":[0.008065383,0.0016888857,0.0013200523,0.024090914,0.0015402638,0.00027051076,0.000026926897,0.0059304866,0.0005386462,0.00038736706,0.9537008,0.0024397543],"about_ca_topic_score_codex":0.0000779987,"about_ca_topic_score_gemma":0.000059781865,"teacher_disagreement_score":0.5786314,"about_ca_system_score_codex":0.0007221131,"about_ca_system_score_gemma":0.0012868437,"threshold_uncertainty_score":0.99886656},"labels":[],"label_agreement":null},{"id":"W2955444995","doi":"10.3390/ani9070425","title":"Validation of Anatomical Sites for the Measurement of Infrared Body Surface Temperature Variation in Response to Handling and Transport","year":2019,"lang":"en","type":"article","venue":"Animals","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Variation (astronomy); Body surface; Infrared; Surface (topology); Environmental science; Mathematics; Physics; Optics; Geometry","score_opus":0.017742322914212766,"score_gpt":0.27375859616032566,"score_spread":0.25601627324611287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955444995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976916,0.00032072957,0.00012335193,0.0006229291,0.0000386963,0.0011218165,0.000018595887,0.000007905049,0.00005442115],"genre_scores_gemma":[0.99870706,0.000016846649,0.0010953097,0.00010643634,0.00002138869,0.000012623472,0.000008103148,0.000010373681,0.00002186848],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990979,0.000054393335,0.0003131213,0.00013725818,0.0002950019,0.0001023322],"domain_scores_gemma":[0.9991408,0.0002962197,0.00008733524,0.00017423803,0.0002678806,0.000033503886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018759674,0.00007868623,0.00025853107,0.000119717646,0.000017067645,0.0000029696778,0.0000498433,0.00007591903,0.000025222085],"category_scores_gemma":[0.0003663182,0.00005549807,0.00004474643,0.0002548615,0.000027059332,0.00003674951,0.000006337852,0.00008048485,5.2653075e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00537686,0.00003812587,0.0759648,0.00012508746,0.00004948565,7.381919e-7,0.0022166823,0.000094860094,0.9159681,0.00009617119,0.00003388659,0.00003517654],"study_design_scores_gemma":[0.0017356058,0.00067166646,0.67047894,0.00025392114,0.00007852233,0.0000016060601,0.00029142492,0.00026085318,0.3260014,0.0000957987,0.000082071405,0.000048198013],"about_ca_topic_score_codex":0.000021958176,"about_ca_topic_score_gemma":0.0000033028625,"teacher_disagreement_score":0.59451413,"about_ca_system_score_codex":0.000026972857,"about_ca_system_score_gemma":0.00006778805,"threshold_uncertainty_score":0.22631456},"labels":[],"label_agreement":null},{"id":"W2969601468","doi":"10.1109/est.2019.8806217","title":"Detecting Thermal Face Signature Abnormalities","year":2019,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Mitacs","keywords":"Computer science; Artificial intelligence; Deep learning; Convolutional neural network; Biometrics; USable; Forehead; Pattern recognition (psychology); Feature extraction; Face (sociological concept); Artificial neural network; Facial recognition system; Feature (linguistics); Machine learning; Computer vision","score_opus":0.00681832909701239,"score_gpt":0.23539112094918568,"score_spread":0.2285727918521733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969601468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79692215,0.00032992428,0.00013950585,0.0004444522,0.00029637446,0.00031728687,0.000001396931,0.00019433636,0.20135456],"genre_scores_gemma":[0.9823535,0.0000062934955,0.0010603189,0.002388344,0.00025487502,0.000006800896,0.0000069597154,0.00002672749,0.013896173],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900806,0.00002760979,0.00018084908,0.00018475579,0.00030240792,0.0002963129],"domain_scores_gemma":[0.99935544,0.000088288274,0.00004669878,0.00034163633,0.00007519486,0.00009273848],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002304592,0.00014419411,0.00023788918,0.000119977856,0.00004294382,0.000010188866,0.000093323135,0.00013227042,0.0042661726],"category_scores_gemma":[0.000051293737,0.00010113624,0.000104208215,0.00020122644,0.000052306994,0.0000845602,0.000030357462,0.00040311003,0.00031182735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006633584,0.00015405557,0.2499421,0.0006055207,0.00048690065,0.00019988528,0.007730205,0.00010649002,0.6972987,0.004791579,0.0037163303,0.034304902],"study_design_scores_gemma":[0.013023171,0.0033380745,0.43900487,0.001184894,0.00045693666,0.0009835762,0.03324081,0.0018771962,0.4694799,0.0008729905,0.035040747,0.0014968491],"about_ca_topic_score_codex":0.000024203875,"about_ca_topic_score_gemma":0.0000010682281,"teacher_disagreement_score":0.22781879,"about_ca_system_score_codex":0.000023501614,"about_ca_system_score_gemma":0.00003486187,"threshold_uncertainty_score":0.9966441},"labels":[],"label_agreement":null},{"id":"W2974738734","doi":"10.1167/19.10.154c","title":"The impact of gender on visual strategies underlying the discrimination of facial expressions of pain.","year":2019,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"","keywords":"Facial expression; Audiology; Psychology; Significant difference; Medicine; Communication; Internal medicine","score_opus":0.04054056442892905,"score_gpt":0.39979257292979864,"score_spread":0.3592520085008696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974738734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971559,0.00034321554,0.0005748853,0.000273567,0.00019143884,0.0002003228,0.0000034463771,0.0000024718704,0.0012547212],"genre_scores_gemma":[0.9996433,0.00014163894,0.00008315292,0.000023144154,0.00007746401,5.4574025e-7,0.0000016716084,0.0000102319755,0.000018799761],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982955,0.00020770967,0.0006141554,0.00006167202,0.0007017006,0.00011925605],"domain_scores_gemma":[0.99783176,0.0006341757,0.0008820878,0.00021198209,0.00039312424,0.00004689581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015075488,0.00010066674,0.0003201192,0.00019162847,0.00006291539,0.000008481713,0.00015711474,0.00006631425,0.000076810786],"category_scores_gemma":[0.0003135307,0.00004076485,0.00030664564,0.00018331433,0.00015244338,0.00012191748,0.000022010088,0.00029533755,6.323408e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015213077,0.00034200682,0.0057044313,0.00014126585,0.00024774298,0.000004610733,0.0043114056,0.00069329236,0.9644448,0.0006956707,0.0006207802,0.02127265],"study_design_scores_gemma":[0.0022558933,0.009328782,0.9438089,0.002216911,0.00017727827,0.000036940506,0.023311267,0.0010331701,0.015023384,0.0026843369,0.000049264476,0.000073883486],"about_ca_topic_score_codex":0.000017020631,"about_ca_topic_score_gemma":6.6649045e-7,"teacher_disagreement_score":0.94942147,"about_ca_system_score_codex":0.000037726888,"about_ca_system_score_gemma":0.00017303023,"threshold_uncertainty_score":0.16623424},"labels":[],"label_agreement":null},{"id":"W2986141251","doi":"10.3389/fphys.2019.01376","title":"After-Effects of Thixotropic Maneuvers on Chest Wall and Compartmental Operational Volumes of Healthy Subjects Using Optoelectronic Plethysmography","year":2019,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Thixotropy; Plethysmograph; Medicine; Biomedical engineering; Cardiology; Materials science; Internal medicine; Physical medicine and rehabilitation; Composite material","score_opus":0.005665714126738923,"score_gpt":0.2410269330214315,"score_spread":0.23536121889469258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986141251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958555,0.0024679583,0.00006585709,0.00012414923,0.00061222573,0.0007458284,0.000007880029,0.000012082983,0.00010849996],"genre_scores_gemma":[0.99632967,0.00020704432,0.00257718,0.0007326083,0.000054534292,0.000024177963,0.000041960917,0.00001945485,0.000013348233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987119,0.00014860382,0.0003249701,0.00030161865,0.00019250119,0.00032042697],"domain_scores_gemma":[0.9993849,0.000103224804,0.00014333404,0.00025466122,0.000047025176,0.000066851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011511074,0.00018470603,0.00069144444,0.0004506571,0.000022966766,0.0000016928893,0.000087718385,0.00012766331,0.000026195668],"category_scores_gemma":[0.0000217065,0.0001656169,0.000098912795,0.00028383642,0.00035316704,0.00004934992,0.000027995511,0.0002740734,0.000001177163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041740797,0.0005703893,0.7275176,0.0014439574,0.00036170593,0.00001860498,0.00083941745,0.00013831444,0.26286036,0.00047752165,0.0009675517,0.0006305179],"study_design_scores_gemma":[0.005528093,0.0049564424,0.9676652,0.0003836156,0.00009411874,0.00001518312,0.000251329,0.002586628,0.017510885,0.0007119703,0.000121295685,0.00017524167],"about_ca_topic_score_codex":0.00004499214,"about_ca_topic_score_gemma":0.000002360594,"teacher_disagreement_score":0.24534948,"about_ca_system_score_codex":0.00009191864,"about_ca_system_score_gemma":0.00009747434,"threshold_uncertainty_score":0.6753661},"labels":[],"label_agreement":null},{"id":"W2986600770","doi":"10.3390/electronics8111301","title":"Incremental Low Rank Noise Reduction for Robust Infrared Tracking of Body Temperature during Medical Imaging","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Université Laval","keywords":"Robustness (evolution); Artificial intelligence; Computer vision; Computer science; Initialization; Region of interest; Noise reduction; Noise (video); Singular value decomposition; Pattern recognition (psychology); Image (mathematics)","score_opus":0.004370828520306326,"score_gpt":0.24006049560872797,"score_spread":0.23568966708842165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986600770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99265987,0.0041234284,0.00016845697,0.00067596056,0.0004874021,0.0010197097,0.000008568439,0.0001000004,0.00075659953],"genre_scores_gemma":[0.9974083,0.00038701596,0.0008588264,0.00022457547,0.0006241314,0.000037117752,0.00009285734,0.00006362864,0.00030355612],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978993,0.000042954336,0.00048077753,0.00033850328,0.0006843015,0.0005541622],"domain_scores_gemma":[0.9990203,0.000056663717,0.00017343742,0.00037982516,0.00022165208,0.00014816452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005674881,0.00022124565,0.00045225496,0.00025939778,0.000091289185,0.000013592637,0.00016718823,0.0001936786,0.000372591],"category_scores_gemma":[0.00022441897,0.00020269648,0.00019507218,0.00036962866,0.00009570107,0.00016165782,0.00003273362,0.00068730756,0.000005948413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010492922,0.00018379628,0.006380338,0.0006486857,0.00018996307,0.000022809105,0.00046723543,0.00004450672,0.98552746,0.0002038144,0.00091210846,0.0043700077],"study_design_scores_gemma":[0.018997464,0.0011478384,0.024502533,0.0021402426,0.00042612312,0.0013858406,0.0011532182,0.003929167,0.9431418,0.00034743076,0.0022476795,0.00058064115],"about_ca_topic_score_codex":0.000003990127,"about_ca_topic_score_gemma":0.0000014632391,"teacher_disagreement_score":0.042385623,"about_ca_system_score_codex":0.00023355415,"about_ca_system_score_gemma":0.00036279138,"threshold_uncertainty_score":0.82657224},"labels":[],"label_agreement":null},{"id":"W2992473223","doi":"","title":"Emerging controversies in breast imaging: is there a place for thermography?","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Thermography; Breast imaging; Medicine; Mammography; Radiology; Internal medicine; Breast cancer; Optics; Infrared; Physics","score_opus":0.008271771818352673,"score_gpt":0.23454117530075655,"score_spread":0.22626940348240387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992473223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8611954,0.0061123534,0.00037519995,0.09102906,0.00046762952,0.0051640957,0.000097076256,0.0002777612,0.035281423],"genre_scores_gemma":[0.98887795,0.00007701217,0.00022123664,0.009510263,0.00027730825,0.0006259134,0.000012195082,0.000029430536,0.00036866067],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984244,0.000030890933,0.00029579387,0.0003141245,0.00027496458,0.00065979874],"domain_scores_gemma":[0.9991282,0.00016756039,0.000095694646,0.00033742306,0.00010244689,0.00016862473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047071773,0.00021612087,0.000387177,0.00042531468,0.000060209146,0.00001942246,0.00014640678,0.00007353951,0.00006588929],"category_scores_gemma":[0.0001276741,0.0001795787,0.00022385643,0.0005035592,0.00010231595,0.00008620907,0.000012711386,0.00021701558,0.0000024168817],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002526805,0.0004457867,0.31714362,0.00013193772,0.0002674328,0.00013719559,0.0024573302,0.0000035660767,0.0014500915,0.0012734715,0.029255457,0.6449073],"study_design_scores_gemma":[0.006553619,0.00007706024,0.9744472,0.0000990968,0.00012437486,0.000107550484,0.0008112528,0.00015011492,0.00040298986,0.0016599406,0.015353245,0.00021357789],"about_ca_topic_score_codex":0.000030520285,"about_ca_topic_score_gemma":0.0000027570431,"teacher_disagreement_score":0.6573036,"about_ca_system_score_codex":0.000064105254,"about_ca_system_score_gemma":0.00002843658,"threshold_uncertainty_score":0.7323007},"labels":[],"label_agreement":null},{"id":"W2994424328","doi":"","title":"Measurement of the Pulsatile Movement of Ocular Tissues With Fourier-Domain Low-Coherence Interferometry","year":2010,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Fourier domain; Interferometry; Pulsatile flow; Coherence (philosophical gambling strategy); Fourier transform; Optical coherence tomography; Optics; Frequency domain; Physics; Medicine; Computer science; Computer vision; Internal medicine","score_opus":0.008517629826635112,"score_gpt":0.2329206416047138,"score_spread":0.22440301177807867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994424328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986995,0.00013430967,0.0010389136,0.0005176549,0.00037328404,0.00071010133,0.0000058781493,0.000020118423,0.010204785],"genre_scores_gemma":[0.98882437,0.000002843817,0.010433063,0.00035822403,0.000073415154,0.000036450336,0.0000021189828,0.000019084364,0.0002504041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979022,0.000051248055,0.00037432142,0.00018250762,0.001298796,0.00019094087],"domain_scores_gemma":[0.9985548,0.00002424003,0.00020925446,0.00081908,0.00031526596,0.00007731421],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008052012,0.00014911123,0.00033873206,0.00014859637,0.00004232988,0.0000029004395,0.00027404923,0.000053385455,0.0032474606],"category_scores_gemma":[0.000110405264,0.000080462145,0.00010131875,0.00045919223,0.00032573918,0.00003056191,0.00008577135,0.00033779957,0.0000018307331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036808406,0.00058721413,0.10311883,0.00036430554,0.00042560534,0.0000135489145,0.0011665353,0.0000066549305,0.8874861,0.0016300847,0.0010660489,0.0037669584],"study_design_scores_gemma":[0.0030245003,0.0019624599,0.090147905,0.0007960825,0.0002200579,0.00002612374,0.0017164239,0.000060856586,0.89883244,0.0011839932,0.0018418782,0.0001872728],"about_ca_topic_score_codex":0.000116245115,"about_ca_topic_score_gemma":0.00004575568,"teacher_disagreement_score":0.01297093,"about_ca_system_score_codex":0.000035286204,"about_ca_system_score_gemma":0.00010204288,"threshold_uncertainty_score":0.9976637},"labels":[],"label_agreement":null},{"id":"W2999254487","doi":"10.1093/aje/161.supplement_1.s8a","title":"030: Transillumination Spectroscopy: A Biomarker of Breast Tissue Density","year":2005,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Transillumination; Biomarker; Medicine; Pathology; Biology","score_opus":0.018939321788998133,"score_gpt":0.33835955805153733,"score_spread":0.3194202362625392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999254487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600033,0.00079624244,0.022104116,0.01594298,0.00018213586,0.00012680775,0.0000072432304,0.000012800946,0.0008243347],"genre_scores_gemma":[0.95981014,0.0002597328,0.037095584,0.002290409,0.00049303705,0.0000011747557,0.0000052788882,0.00001789689,0.000026721835],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99757475,0.00055812876,0.0011655589,0.00016368207,0.00020524234,0.00033264907],"domain_scores_gemma":[0.9969358,0.00090032857,0.0012700921,0.00025833343,0.0004065484,0.00022889962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027572892,0.00016103545,0.0012787097,0.00042947722,0.000027676382,8.7894693e-7,0.00014252121,0.0000827336,0.00026713207],"category_scores_gemma":[0.0013023058,0.00012002891,0.00024755916,0.00043588618,0.0011915416,0.00007180551,0.000011652,0.00037379394,0.00000748315],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022593148,0.0004023826,0.25230443,0.000061627914,0.0006858969,0.00014584122,0.0010384537,0.00003573194,0.33077642,0.0009212027,0.0040008062,0.4073679],"study_design_scores_gemma":[0.0021384305,0.004677722,0.9602007,0.00027127436,0.00046963352,0.009327846,0.00055204675,0.00019873229,0.016085014,0.0008598974,0.005049899,0.00016877161],"about_ca_topic_score_codex":0.00008553772,"about_ca_topic_score_gemma":0.000008047325,"teacher_disagreement_score":0.7078963,"about_ca_system_score_codex":0.00008931048,"about_ca_system_score_gemma":0.00011620502,"threshold_uncertainty_score":0.4894637},"labels":[],"label_agreement":null},{"id":"W3002616723","doi":"10.1016/j.ijrobp.2019.12.032","title":"Quantitative Thermal Imaging Biomarkers to Detect Acute Skin Toxicity From Breast Radiation Therapy Using Supervised Machine Learning","year":2020,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Health Sciences Centre; University of Toronto; York University; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Terry Fox Research Institute; Terry Fox Foundation","keywords":"Medicine; Radiation therapy; Medical physics; Radiology","score_opus":0.025278735703799068,"score_gpt":0.3328494855363543,"score_spread":0.3075707498325552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002616723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92992556,0.0010419257,0.05403553,0.012942824,0.0012668732,0.00037058943,0.00022750188,0.00007311891,0.00011608441],"genre_scores_gemma":[0.97245437,0.0004635001,0.016865753,0.0070084943,0.0028785462,0.0000067907667,0.00026133578,0.00005871967,0.0000024653482],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974358,0.0005408659,0.0008838224,0.00035117296,0.0004758638,0.00031244082],"domain_scores_gemma":[0.99722785,0.00049615646,0.0010045208,0.00014432754,0.000817278,0.0003098684],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006255049,0.0003147435,0.0006738544,0.00032455544,0.00012649396,0.00003996388,0.0004302503,0.00018918072,0.00021316657],"category_scores_gemma":[0.00044935278,0.00027452424,0.00034622615,0.00046824614,0.00020713011,0.00037515524,0.00006829696,0.0007754677,0.000022239818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004772297,0.00015819278,0.2082328,0.000005023737,0.0025048808,0.00013252352,0.0034944245,0.0017943346,0.44707456,0.0002143804,0.00022682863,0.33138976],"study_design_scores_gemma":[0.06959184,0.014551061,0.37688443,0.0005562347,0.0019507705,0.0015177629,0.0021920984,0.3611502,0.14524586,0.0056874435,0.018807001,0.0018652594],"about_ca_topic_score_codex":0.00011983656,"about_ca_topic_score_gemma":0.0000021322762,"teacher_disagreement_score":0.3593559,"about_ca_system_score_codex":0.0005687461,"about_ca_system_score_gemma":0.00039663195,"threshold_uncertainty_score":0.9999707},"labels":[],"label_agreement":null},{"id":"W3005537455","doi":"","title":"Postural and emotional changes following repeated exposure to standing at a virtual height","year":2019,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Anxiety; Psychology; Repeated measures design; Context (archaeology); Balance (ability); Arousal; Fear of falling; Physical medicine and rehabilitation; Developmental psychology; Poison control; Social psychology; Medicine; Injury prevention; Mathematics","score_opus":0.010077734567515963,"score_gpt":0.23701078902429762,"score_spread":0.22693305445678166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005537455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931753,0.001808586,0.0000052167493,0.0004666614,0.0010894993,0.0006557969,0.0000067886735,0.000032341883,0.0027597966],"genre_scores_gemma":[0.9939193,0.0006221786,0.00042770559,0.0004402787,0.0005025228,0.000006226957,0.000018987566,0.000045551205,0.0040172497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99709314,0.000021524707,0.0010385299,0.00039839922,0.0010281648,0.0004202243],"domain_scores_gemma":[0.9979687,0.00004938212,0.00073713495,0.00032618036,0.00033118253,0.0005874356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006715933,0.00036173555,0.0009306001,0.00055872067,0.00020288445,0.00006900024,0.00013429511,0.00020198156,0.00007160985],"category_scores_gemma":[0.00004238508,0.00027188513,0.00021489039,0.00024670194,0.0000626308,0.0002597174,0.000088060115,0.00047121837,0.00000403295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038473844,0.00026772698,0.5274981,0.00033168308,0.000726391,0.0023329228,0.0020267668,0.0000264142,0.45923352,0.00008466993,0.0015550103,0.0020693985],"study_design_scores_gemma":[0.004467772,0.0034226752,0.9677292,0.003511919,0.00045007298,0.0009937547,0.0017375193,0.00000784474,0.01571627,0.000038524046,0.0015763629,0.000348081],"about_ca_topic_score_codex":0.000027804472,"about_ca_topic_score_gemma":0.0000063256634,"teacher_disagreement_score":0.44351727,"about_ca_system_score_codex":0.00018451217,"about_ca_system_score_gemma":0.00009291298,"threshold_uncertainty_score":0.99997336},"labels":[],"label_agreement":null},{"id":"W3013525190","doi":"","title":"SYNCHROTRON RADIATION INLINE PROPAGATION BASED PHASE CONTRAST COMPUTERIZED TOMOGRAPHY (PC-CT) OF HUMAN PROSTATE SAMPLE","year":2020,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Synchrotron radiation; Phase contrast microscopy; Tomography; Sample (material); Medical physics; Contrast (vision); Nuclear medicine; Phase (matter); Medicine; Radiology; Optics; Physics","score_opus":0.006617168237642508,"score_gpt":0.20621564588975616,"score_spread":0.19959847765211366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013525190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923359,0.00011273484,0.0019100963,0.00071032945,0.00020459518,0.0018180718,0.0012964595,0.00028654042,0.0013252322],"genre_scores_gemma":[0.96176225,0.00008487272,0.01004127,0.00011854613,0.00010040744,3.3812566e-7,0.02656236,0.000060738337,0.0012692426],"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","domain_scores_codex":[0.9978579,0.00019054352,0.0004225811,0.0006003812,0.00060951716,0.00031907685],"domain_scores_gemma":[0.99772125,0.0001316257,0.0010722842,0.00047071822,0.00028783595,0.00031625718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000118573036,0.00044986312,0.0011791473,0.0013223409,0.0002587834,0.000012933691,0.0004775184,0.00030569104,0.0006883386],"category_scores_gemma":[0.000021561085,0.0005844749,0.00057228643,0.0013904423,0.00039548634,0.00076725276,0.00007535075,0.00058557105,0.000004907726],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.068780616,0.0076359385,0.057680514,0.021657377,0.00621707,0.0037634666,0.16239256,0.00009556074,0.6054564,0.0013673981,0.0067782807,0.058174822],"study_design_scores_gemma":[0.12170947,0.016479922,0.07951785,0.008850629,0.009432215,0.00003388922,0.5577333,0.010111123,0.17851213,0.00064900884,0.013556795,0.003413638],"about_ca_topic_score_codex":0.0006518756,"about_ca_topic_score_gemma":0.00011366485,"teacher_disagreement_score":0.42694426,"about_ca_system_score_codex":0.00010583278,"about_ca_system_score_gemma":0.0008810934,"threshold_uncertainty_score":0.9996607},"labels":[],"label_agreement":null},{"id":"W3019510229","doi":"10.5539/mas.v14n5p51","title":"Feature Extraction Optimization with Combination 2D-Discrete Wavelet Transform and Gray Level Co-Occurrence Matrix for Classifying Normal and Abnormal Breast Tumors","year":2020,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Artificial intelligence; Mammography; Pattern recognition (psychology); CAD; Gray level; Computer science; Co-occurrence matrix; Feature extraction; Wavelet; Discrete wavelet transform; Computer-aided diagnosis; Medicine; Wavelet transform; Radiology; Cancer; Computer vision; Image (mathematics); Image processing; Internal medicine","score_opus":0.020395449662758785,"score_gpt":0.2804629911960074,"score_spread":0.2600675415332486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019510229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16672176,0.000055519253,0.826385,0.003954676,0.00004977287,0.0014088997,0.00022246796,0.00010886996,0.0010929947],"genre_scores_gemma":[0.97829086,0.000022591183,0.0209679,0.00038921015,0.00006396065,0.00006307564,0.00016617366,0.000017071387,0.000019183915],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983827,0.000009319862,0.00018943645,0.00049227447,0.0005679758,0.00035829114],"domain_scores_gemma":[0.9992654,0.000041388972,0.0001237704,0.00013552104,0.00015188994,0.0002820314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003725227,0.00020882633,0.00025631028,0.00018315474,0.00041880418,0.00007663675,0.00011987071,0.00008630058,0.0000089403375],"category_scores_gemma":[0.000021782518,0.00016584952,0.000025979842,0.00046886268,0.0006388375,0.00047332144,0.000020649615,0.00029486383,6.5289186e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008462867,0.0002730369,0.0094655,0.0019453397,0.00010942765,0.00005285976,0.01905649,0.006193926,0.7275663,0.004539297,0.0005315293,0.22180344],"study_design_scores_gemma":[0.005346382,0.00071429776,0.026544396,0.00014611645,0.00013054315,0.0005442768,0.00091529614,0.953368,0.011609641,0.0002179936,0.000094382674,0.00036866017],"about_ca_topic_score_codex":0.000003611262,"about_ca_topic_score_gemma":0.0000017712091,"teacher_disagreement_score":0.9471741,"about_ca_system_score_codex":0.00004961848,"about_ca_system_score_gemma":0.00014219468,"threshold_uncertainty_score":0.6763147},"labels":[],"label_agreement":null},{"id":"W3022105324","doi":"10.5005/jp-journals-10084-12117","title":"Effectiveness of Epsom Salt with Hot Water Application on Knee Joint Pain among Elderly in a Selected Rural Area at Puducherry","year":2020,"lang":"en","type":"article","venue":"Pondicherry Journal of Nursing","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Knee Joint; Medicine; Salt water; Joint pain; Knee pain; Joint (building); Geography; Physical therapy; Surgery; Environmental science; Environmental engineering; Engineering; Civil engineering; Osteoarthritis; Alternative medicine","score_opus":0.015775294515567768,"score_gpt":0.2570997869966449,"score_spread":0.2413244924810771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022105324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99380815,0.00044261166,0.003257783,0.0014547937,0.00009490596,0.00059686543,0.000001694513,0.000028507398,0.00031466974],"genre_scores_gemma":[0.99911076,0.000010728764,0.00038451172,0.00021847885,0.00018551387,0.000013009922,0.000015760821,0.000052838084,0.000008409641],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976195,0.00045513664,0.00070385495,0.00021521703,0.0006373864,0.0003688912],"domain_scores_gemma":[0.99849224,0.00023778522,0.00046490674,0.00020131923,0.00037675098,0.00022697964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001690287,0.00025757475,0.00076783856,0.0004995128,0.000051686562,0.000010441857,0.00012482623,0.0001561155,0.000038997823],"category_scores_gemma":[0.00026162158,0.00017022109,0.0001444038,0.0007748049,0.00021971892,0.00013787053,0.000012314358,0.00078789424,0.0000028465065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010783622,0.00048326724,0.0647344,0.00038775135,0.00024760922,0.00021277674,0.0071028485,0.00022380475,0.9035884,0.000007698019,0.000093057184,0.012134776],"study_design_scores_gemma":[0.007385547,0.00945433,0.7094952,0.010013383,0.00037262077,0.00050467975,0.0016324628,0.0007095319,0.25993744,0.00022004006,0.000023275092,0.00025151577],"about_ca_topic_score_codex":0.000019169152,"about_ca_topic_score_gemma":0.0000017810712,"teacher_disagreement_score":0.6447608,"about_ca_system_score_codex":0.00043833707,"about_ca_system_score_gemma":0.00010628113,"threshold_uncertainty_score":0.69414145},"labels":[],"label_agreement":null},{"id":"W3042282878","doi":"10.1096/fasebj.31.1_supplement.836.18","title":"Impaired Reactivity of Basilar and Circle of Willis Arteries in Osteoarthritis and Ischemic Heart Disease Patients","year":2017,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Circle of Willis; Cardiology; Cerebral arteries; Internal medicine; Hypercapnia; Cerebral perfusion pressure; Basilar artery; Anesthesia; Cerebral blood flow; Acidosis","score_opus":0.009152930729266519,"score_gpt":0.239984540104823,"score_spread":0.2308316093755565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042282878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979299,0.00072966825,0.0000035965284,0.0008736312,0.00007520875,0.000171642,0.000028573937,0.0000032836072,0.00018452395],"genre_scores_gemma":[0.9995644,0.00019586225,0.00005898604,0.00009820359,0.000060029513,0.0000022675035,0.0000022904649,0.000009025502,0.000008901763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924695,0.000060747083,0.0002429883,0.00008953891,0.00022285694,0.00013691526],"domain_scores_gemma":[0.9991463,0.000059569174,0.00024925,0.00031838528,0.00008744746,0.00013908376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004067616,0.00008384841,0.00027819056,0.00008604096,0.00013272608,0.000014893527,0.00008358294,0.00003397811,0.000016491538],"category_scores_gemma":[0.00033574286,0.000060583883,0.000043335098,0.000041143383,0.0005699535,0.00016502266,0.00004625715,0.00022558989,1.9862343e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005602892,0.00008044577,0.7877248,0.00006969204,0.000017054586,0.000027877579,0.00076575344,8.791522e-8,0.19976993,0.000002138904,0.00009983864,0.010882103],"study_design_scores_gemma":[0.0029520644,0.00050127873,0.95778096,0.00062435336,0.00006791629,0.0001230406,0.00019542447,0.0000043205046,0.03741467,0.00023889476,0.000046397126,0.000050681745],"about_ca_topic_score_codex":0.000035301895,"about_ca_topic_score_gemma":0.000004723272,"teacher_disagreement_score":0.17005618,"about_ca_system_score_codex":0.000010510845,"about_ca_system_score_gemma":0.00004479398,"threshold_uncertainty_score":0.2470539},"labels":[],"label_agreement":null},{"id":"W3082755028","doi":"10.2196/22524","title":"Infrared Thermal Imaging of Patients With Acute Upper Respiratory Tract Infection: Mixed Methods Analysis","year":2020,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Upper respiratory tract infection; Respiratory tract; Medicine; Respiratory tract infections; Incidence (geometry); Respiratory system; Intensive care medicine; Internal medicine","score_opus":0.04389302613323345,"score_gpt":0.45691507980629775,"score_spread":0.4130220536730643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082755028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815822,0.00034982912,0.009908381,0.005379255,0.00023630208,0.000289808,0.000011053294,0.000013802522,0.002229327],"genre_scores_gemma":[0.9947251,0.00007668937,0.0032694687,0.0013152873,0.00053946895,0.000007677968,0.000008221199,0.00003422393,0.000023824958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9914966,0.0018234786,0.0010761515,0.00027414257,0.0048941826,0.00043539418],"domain_scores_gemma":[0.99204427,0.0023058834,0.00063796673,0.00031279185,0.0037090918,0.0009900104],"candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006172562,0.00021016876,0.0009991723,0.001702595,0.000080736565,0.00002736226,0.00045608619,0.00017004412,0.003114717],"category_scores_gemma":[0.009143081,0.00013331554,0.00050686457,0.002828968,0.00067405245,0.00037145024,0.00014990395,0.0032613564,0.000007120823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010585375,0.0012526555,0.87812614,0.00013301858,0.008719436,0.0014556621,0.0035575693,0.0000132400355,0.0066824164,0.00003207423,0.0031145231,0.08632788],"study_design_scores_gemma":[0.006184783,0.0042867777,0.97169393,0.00069751445,0.0016447129,0.00009120641,0.0010711222,0.0005277294,0.009253001,0.00010513112,0.004298461,0.0001456031],"about_ca_topic_score_codex":0.000030124631,"about_ca_topic_score_gemma":0.000001237643,"teacher_disagreement_score":0.09356781,"about_ca_system_score_codex":0.00017022715,"about_ca_system_score_gemma":0.0008864112,"threshold_uncertainty_score":0.9992033},"labels":[],"label_agreement":null},{"id":"W3084737924","doi":"","title":"Reticular pseudodrusen-like deposits in a frog model of cone-rod dystrophy","year":2020,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reticular connective tissue; Cone (formal languages); Ophthalmology; Medicine; Anatomy; Mathematics","score_opus":0.022039383485103165,"score_gpt":0.24545875248676885,"score_spread":0.22341936900166567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084737924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779566,0.00038033057,0.0056127524,0.0035235032,0.00007343346,0.0005192054,0.0000071053446,0.00009872132,0.011828341],"genre_scores_gemma":[0.9816363,0.000043530355,0.013214409,0.004818697,0.00009136424,0.000013748653,0.000013764528,0.000032293345,0.00013591094],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984901,0.00003796192,0.00048547436,0.00029555953,0.00042247307,0.0002684282],"domain_scores_gemma":[0.99917316,0.000036988975,0.00008831315,0.00034742197,0.00012202948,0.00023207533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012453909,0.00017998407,0.00053051405,0.00016366044,0.00001724479,0.0000039844535,0.00013458995,0.00012857761,0.00015154894],"category_scores_gemma":[0.00012000923,0.00014565907,0.00012896334,0.0005058681,0.00014054356,0.000048884624,0.000046227393,0.00030566187,0.000019830777],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015758176,0.00046558978,0.04339474,0.0007024459,0.00033568902,0.0007605999,0.005165967,0.0014211448,0.9345151,0.005079615,0.005459733,0.0011235415],"study_design_scores_gemma":[0.04030482,0.0058809407,0.045655247,0.0019852815,0.0014290155,0.00036601382,0.0034614725,0.52718854,0.3685474,0.0026399882,0.0010291464,0.0015121136],"about_ca_topic_score_codex":0.000045271743,"about_ca_topic_score_gemma":0.0000051441525,"teacher_disagreement_score":0.56596774,"about_ca_system_score_codex":0.000025377898,"about_ca_system_score_gemma":0.000082853425,"threshold_uncertainty_score":0.59398043},"labels":[],"label_agreement":null},{"id":"W3093298649","doi":"10.48550/arxiv.2010.06784","title":"Low-rank Convex/Sparse Thermal Matrix Approximation for Infrared-based Diagnostic System","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Thermography; Non-negative matrix factorization; Rank (graph theory); Matrix (chemical analysis); Matrix decomposition; Principal component analysis; Pattern recognition (psychology); Regular polygon; Cluster analysis; Artificial intelligence; Infrared; Computer science; Mathematics; Materials science; Optics; Physics; Geometry","score_opus":0.04899639921385157,"score_gpt":0.2086666754540841,"score_spread":0.15967027624023253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093298649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74684817,0.00029850815,0.23897992,0.00056936283,0.0014243802,0.0055314014,0.00040701893,0.0010432564,0.004897972],"genre_scores_gemma":[0.9958285,0.00004741558,0.0014945611,0.00051593606,0.00061701896,0.000041803098,0.0008494203,0.00011677892,0.00048853946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973309,0.00018060327,0.00053984637,0.0011474295,0.00024962449,0.0005516092],"domain_scores_gemma":[0.9965408,0.0008087733,0.0005547229,0.0011792422,0.00047996413,0.00043652827],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003895861,0.00062127714,0.0010878172,0.0005312403,0.00016675956,0.00003953507,0.0005772595,0.0006979207,0.00013513012],"category_scores_gemma":[0.0005699815,0.0006554915,0.0006413778,0.00066162366,0.00028303504,0.00011381515,0.00025753427,0.0009723153,0.00011022061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.021316886,0.0034308103,0.07054129,0.121220045,0.00818631,0.01846567,0.00498588,0.5010744,0.013981147,0.21403618,0.02014486,0.0026165685],"study_design_scores_gemma":[0.021580359,0.0016783722,0.009340013,0.00902741,0.0066829263,0.000062304185,0.002000614,0.932295,0.006930971,0.006587842,0.0016251286,0.002189009],"about_ca_topic_score_codex":0.000034833654,"about_ca_topic_score_gemma":0.000001821732,"teacher_disagreement_score":0.4312207,"about_ca_system_score_codex":0.00045132914,"about_ca_system_score_gemma":0.0005491235,"threshold_uncertainty_score":0.9995896},"labels":[],"label_agreement":null},{"id":"W3094845310","doi":"10.3390/bios10110164","title":"Detecting Vasodilation as Potential Diagnostic Biomarker in Breast Cancer Using Deep Learning-Driven Thermomics","year":2020,"lang":"en","type":"article","venue":"Biosensors","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Breast cancer; Mammography; Medicine; Autoencoder; Artificial intelligence; Cancer; Malignancy; Biomarker; Principal component analysis; Deep learning; Oncology; Internal medicine; Computer science","score_opus":0.020739201901859475,"score_gpt":0.2774564414480214,"score_spread":0.25671723954616193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094845310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961026,0.00034123106,0.00029530036,0.0022351285,0.00024741873,0.000401072,0.000008161393,0.00012381219,0.00024532183],"genre_scores_gemma":[0.9978965,0.0001747149,0.00049398345,0.0009219338,0.00041806285,0.000010114318,0.000014042258,0.00005844472,0.000012191053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852777,0.00012106278,0.00034325305,0.00034190508,0.00031298812,0.00035304096],"domain_scores_gemma":[0.99923587,0.00016612175,0.00015281713,0.00015182432,0.0001016571,0.0001917356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001601158,0.00021328073,0.00031742858,0.00021928993,0.00009848908,0.000017507573,0.000084932966,0.00016746804,0.00035100558],"category_scores_gemma":[0.0005967721,0.00019560405,0.000115623065,0.00065344595,0.00010253579,0.00007348973,0.000040649407,0.0004157936,0.00003448685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006538574,0.00006589111,0.483465,0.00011821741,0.00015740558,0.0005162061,0.0025010547,0.005802696,0.48309729,0.00000974481,0.000026678283,0.023585979],"study_design_scores_gemma":[0.002659937,0.00018464233,0.82853717,0.00041521195,0.0002776534,0.0003282108,0.0011257294,0.16174395,0.0042586285,0.000020584284,0.00012714464,0.0003211608],"about_ca_topic_score_codex":0.00034026234,"about_ca_topic_score_gemma":0.00001117013,"teacher_disagreement_score":0.47883865,"about_ca_system_score_codex":0.00012974093,"about_ca_system_score_gemma":0.00007149242,"threshold_uncertainty_score":0.79765016},"labels":[],"label_agreement":null},{"id":"W3095116911","doi":"10.18280/ts.370409","title":"Classification of Medical Thermograms Belonging Neonates by Using Segmentation, Feature Engineering and Machine Learning Algorithms","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Artificial intelligence; Thermography; Logistic regression; Computer science; Feature (linguistics); Salient; Artificial neural network; Neonatal intensive care unit; Filter (signal processing); Pattern recognition (psychology); Random forest; Machine learning; Feature engineering; Computer vision; Deep learning; Medicine; Pediatrics","score_opus":0.020304604976390552,"score_gpt":0.25782550161767753,"score_spread":0.23752089664128698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095116911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525501,0.002286569,0.037996467,0.0064497297,0.00006020935,0.00045475754,0.000020364916,0.0001327717,0.00004901989],"genre_scores_gemma":[0.99301094,0.00013399935,0.0058329636,0.00055002666,0.00022091088,0.000011897718,0.00019428928,0.00003559459,0.000009356323],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835205,0.00004778005,0.0003440695,0.0002504343,0.00078966503,0.00021597954],"domain_scores_gemma":[0.99938196,0.00007838393,0.00013710355,0.000076781806,0.000077928686,0.00024786906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039100548,0.00018769797,0.00030148678,0.000108888395,0.00007412332,0.000016591106,0.0000990961,0.00012117638,0.000362273],"category_scores_gemma":[0.000084307736,0.00016264507,0.000064711,0.00032786748,0.000089438756,0.000079063066,0.00003142224,0.00040663846,7.910023e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016304827,0.00011168706,0.03640464,0.0004316465,0.00033548634,0.00004035047,0.0037154274,0.00037214594,0.8816316,0.0001553243,0.00030829158,0.07633034],"study_design_scores_gemma":[0.0050462685,0.0008246463,0.024544256,0.00058664195,0.00037170245,0.00011062063,0.0015550294,0.93039215,0.034151778,0.000012003331,0.002068521,0.0003363645],"about_ca_topic_score_codex":0.000028868162,"about_ca_topic_score_gemma":4.0583754e-7,"teacher_disagreement_score":0.93002003,"about_ca_system_score_codex":0.000032250347,"about_ca_system_score_gemma":0.000037155834,"threshold_uncertainty_score":0.66324735},"labels":[],"label_agreement":null},{"id":"W3095442263","doi":"","title":"CONTACTLESS SANITISATION & BODY TEMPERATURE DETECTOR","year":2020,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Gadget; Air conditioning; Computer science; Aesthetics; Electrical engineering; Computer security; Engineering; Mechanical engineering; Art","score_opus":0.013646921893565674,"score_gpt":0.2445057050720193,"score_spread":0.23085878317845362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095442263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96037686,0.00019169462,0.0002743886,0.007740914,0.00017873682,0.0004097994,0.0000074694467,0.00028976714,0.030530388],"genre_scores_gemma":[0.9814886,0.000011884467,0.0006496174,0.016878631,0.00067051203,0.000010751029,0.000029207495,0.000021432867,0.00023935105],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923664,0.00002251655,0.00016641701,0.00017763796,0.0002403291,0.00015643371],"domain_scores_gemma":[0.9994701,0.000032312695,0.000033295186,0.0001571157,0.00009904865,0.00020810208],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000057929705,0.00011407678,0.00020973891,0.0000507296,0.000039978513,0.000012080387,0.00005801515,0.000095774434,0.0022949316],"category_scores_gemma":[0.00013688178,0.00008600549,0.000070089474,0.00023813058,0.000042813284,0.000053198033,0.0000128687425,0.00024754397,0.000118551194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031183127,0.000047182377,0.012583709,0.00011138429,0.00010805988,0.00017346785,0.0010711747,4.3673455e-7,0.96573,0.0016246614,0.013178529,0.005059537],"study_design_scores_gemma":[0.011301267,0.004676357,0.3911554,0.00036112918,0.00052290165,0.0003417041,0.0030341137,0.00056669174,0.53095514,0.00028106393,0.05607341,0.00073082506],"about_ca_topic_score_codex":0.000011364857,"about_ca_topic_score_gemma":0.0000015237573,"teacher_disagreement_score":0.43477488,"about_ca_system_score_codex":0.000020541756,"about_ca_system_score_gemma":0.000043994798,"threshold_uncertainty_score":0.9986171},"labels":[],"label_agreement":null},{"id":"W3108640596","doi":"10.1186/s13075-020-02367-w","title":"Refinement and validation of infrared thermal imaging (IRT): a non-invasive technique to measure disease activity in a mouse model of rheumatoid arthritis","year":2020,"lang":"en","type":"article","venue":"Arthritis Research & Therapy","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"H. Lundbeck A/S; Natural Sciences and Engineering Research Council of Canada; Lundbeckfonden","keywords":"Rheumatoid arthritis; Rheumatology; Medicine; Measure (data warehouse); Internal medicine; Medical physics; Nuclear medicine; Pathology; Data mining; Computer science","score_opus":0.04301167828252394,"score_gpt":0.31684436259143306,"score_spread":0.2738326843089091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108640596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888671,0.002345788,0.0013231578,0.0039892467,0.000012285283,0.0027145774,0.00029514226,0.000046014986,0.00040666718],"genre_scores_gemma":[0.9814619,0.014959943,0.0022318012,0.0005365663,0.000040719166,0.0006631555,0.0000383091,0.000051098963,0.00001653356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99698126,0.00035411242,0.0005394215,0.00047032136,0.001162963,0.00049189327],"domain_scores_gemma":[0.9980238,0.00022874713,0.0001293838,0.0005039173,0.0006207049,0.0004934665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013013649,0.00022939936,0.0006023305,0.0006129311,0.00008119861,0.000020028152,0.00020488288,0.00008403754,0.00019052289],"category_scores_gemma":[0.0008383196,0.00022055436,0.00011288725,0.0008882007,0.000383168,0.00024957096,0.00012571478,0.00054746267,0.000002963521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003719236,0.0003333016,0.010245843,0.00014248773,0.000059403996,0.00007350842,0.004461862,0.000103659186,0.89728034,0.000052288953,0.0005562788,0.08297181],"study_design_scores_gemma":[0.00974941,0.0022298235,0.009799832,0.003749173,0.000004908419,0.00001257688,0.0007824086,0.0026084727,0.96949583,0.00094591203,0.00030392222,0.00031775222],"about_ca_topic_score_codex":0.00020677225,"about_ca_topic_score_gemma":0.000025149462,"teacher_disagreement_score":0.08265406,"about_ca_system_score_codex":0.00006635723,"about_ca_system_score_gemma":0.00047677557,"threshold_uncertainty_score":0.8993946},"labels":[],"label_agreement":null},{"id":"W3110677063","doi":"10.22215/etd/2014-10076","title":"Identification of Thermal Abnormalities by Analysis of Abdominal Infrared Thermal Images of Neonatal Patients","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Necrotizing enterocolitis; Medicine; Medical diagnosis; Radiology; Radiography; Thermal; Internal medicine; Physics","score_opus":0.0038268861364463506,"score_gpt":0.2478878668457064,"score_spread":0.24406098070926005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110677063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832678,0.0005789673,0.00020204214,0.000010325722,0.00027105797,0.0005296859,0.0006734524,0.000026696705,0.014440009],"genre_scores_gemma":[0.9831897,0.00005939369,0.0002469424,0.00003388051,0.00006023882,0.000030021667,0.0108308755,0.000049745384,0.0054992195],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99622995,0.00013550585,0.0018956354,0.00034457323,0.0011395982,0.00025471853],"domain_scores_gemma":[0.99537104,0.00018192064,0.002129775,0.00073808525,0.0014900754,0.00008907094],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055827695,0.00037735712,0.0015746092,0.0014570659,0.0000348841,0.0000067846404,0.00032635222,0.00038439519,0.0013711542],"category_scores_gemma":[0.00023128002,0.00031173124,0.0007103735,0.0009901666,0.0003199572,0.00013099282,0.000024327752,0.0002829255,0.0000026902353],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050605764,0.0010835263,0.18572804,0.0048064254,0.013171509,0.0000050287085,0.009713487,0.000058575486,0.74538773,0.00028848273,0.0029861769,0.031710435],"study_design_scores_gemma":[0.0017565623,0.0004750132,0.56563026,0.00032784816,0.0071723917,5.878157e-7,0.002947374,0.00015467263,0.42124018,0.000027132171,0.00004244485,0.00022553469],"about_ca_topic_score_codex":0.0003154081,"about_ca_topic_score_gemma":0.000015383426,"teacher_disagreement_score":0.3799022,"about_ca_system_score_codex":0.000025659956,"about_ca_system_score_gemma":0.00011371558,"threshold_uncertainty_score":0.9999335},"labels":[],"label_agreement":null},{"id":"W3110784375","doi":"10.1111/eci.13474","title":"Diagnostic accuracy of infrared thermal imaging for detecting COVID‐19 infection in minimally symptomatic patients","year":2020,"lang":"en","type":"article","venue":"European Journal of Clinical Investigation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Forehead; Coronavirus disease 2019 (COVID-19); Medicine; Thermography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internal medicine; Nuclear medicine; Infrared; Surgery","score_opus":0.07550542592768256,"score_gpt":0.3599703989755086,"score_spread":0.28446497304782603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110784375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993841,0.00008654421,0.0027045973,0.0020280473,0.00036368202,0.0005406575,0.000003989087,0.00002685177,0.00040461659],"genre_scores_gemma":[0.9894727,0.000044311826,0.0053526233,0.004346762,0.000723752,0.0000034036868,0.00001536044,0.000038412254,0.0000027130236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956621,0.0009569961,0.0026264149,0.00018399046,0.00039054014,0.00017998411],"domain_scores_gemma":[0.9919619,0.0045473156,0.0022618843,0.00015525948,0.0005391842,0.00053443917],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0038354294,0.0001554468,0.00061567966,0.00024712057,0.000046124092,0.000015824078,0.00015001629,0.00004868754,0.000026935219],"category_scores_gemma":[0.13081925,0.0001312094,0.00027835814,0.00040504473,0.00022586371,0.0002681309,0.000037469108,0.0005526471,0.0000048022725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006537025,0.00013441627,0.97191685,0.00042278564,0.00007262413,0.000070255024,0.0019022143,0.00022326951,0.0032342395,0.000010854142,0.00039810405,0.020960685],"study_design_scores_gemma":[0.008626731,0.0026031164,0.9833164,0.0011757028,0.00021188524,0.000023764902,0.00012437478,0.0021074738,0.0010951904,0.00032925713,0.0002698322,0.00011627302],"about_ca_topic_score_codex":0.0000043237437,"about_ca_topic_score_gemma":6.0245486e-7,"teacher_disagreement_score":0.1269838,"about_ca_system_score_codex":0.000045018918,"about_ca_system_score_gemma":0.00029060117,"threshold_uncertainty_score":0.8765022},"labels":[],"label_agreement":null},{"id":"W3114758437","doi":"10.1097/01.ccm.0000727552.92687.d4","title":"416: Comparison of Inner Epicanthus and Forehead Temperature Measurements via IR Thermography","year":2020,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Children's Hospital of Eastern Ontario; University of Ottawa; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Thermography; Forehead; Ophthalmology; Biomedical engineering; Optics; Surgery; Infrared","score_opus":0.05065147923736184,"score_gpt":0.3434051062624877,"score_spread":0.29275362702512586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114758437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9087044,0.033058,0.00076548633,0.042736076,0.0006719588,0.0011399257,0.000048578808,0.00022276837,0.012652813],"genre_scores_gemma":[0.9921153,0.0000476746,0.000788045,0.0060326112,0.0008532295,0.0000245371,0.000079106794,0.000052919353,0.000006586455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99701,0.00012819981,0.0007724122,0.0005159291,0.0011036188,0.00046981915],"domain_scores_gemma":[0.9975051,0.0002945594,0.00009764523,0.0004326448,0.0008875597,0.00078247866],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026954847,0.0003756902,0.0012267466,0.00025633478,0.000106296065,0.00000741914,0.00018618343,0.000260413,0.00045255834],"category_scores_gemma":[0.001669681,0.00026334752,0.0001582362,0.0008237681,0.0018138153,0.00006584901,0.000065392494,0.0007392606,0.000004793001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016063942,0.0003751702,0.56096435,0.0058034095,0.00044913808,0.00023141885,0.023685573,9.932247e-7,0.3537999,0.0018895356,0.011145985,0.040048122],"study_design_scores_gemma":[0.036142383,0.039628252,0.6441908,0.009325342,0.0075832917,0.0004966284,0.08767171,0.00061271497,0.15669914,0.0028864047,0.012507153,0.002256187],"about_ca_topic_score_codex":0.00002993735,"about_ca_topic_score_gemma":0.00000428094,"teacher_disagreement_score":0.19710077,"about_ca_system_score_codex":0.00003177887,"about_ca_system_score_gemma":0.00006172571,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W3115309267","doi":"10.21611/qirt.2020.146","title":"Thermal-driven biomarkers for breast cancer screening using dynamic infrared imaging modality","year":2020,"lang":"en","type":"article","venue":"Proceedings of the 2020 International Conference on Quantitative InfraRed Thermography","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Modality (human–computer interaction); Breast cancer; Infrared; Cancer; Computer science; Radiology; Medicine; Medical physics; Internal medicine; Artificial intelligence; Optics; Physics","score_opus":0.05318185460259043,"score_gpt":0.3392309594270323,"score_spread":0.28604910482444185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115309267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94013596,0.00025223676,0.004014651,0.02964236,0.00064975035,0.0023951319,0.0021618833,0.0002175618,0.020530486],"genre_scores_gemma":[0.9828336,0.00012586778,0.014378271,0.002165592,0.00019823131,0.00013349463,0.000037226222,0.00008325943,0.000044449695],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971958,0.000041358697,0.0007611344,0.00066766003,0.00089630904,0.0004377732],"domain_scores_gemma":[0.9963719,0.00015240729,0.0008772301,0.00021604126,0.0021533433,0.00022904912],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034882117,0.00047084296,0.00063152914,0.00040704245,0.0002172037,0.00008935872,0.00094424834,0.00013097948,0.00039844753],"category_scores_gemma":[0.00036288943,0.0003597658,0.00067627325,0.001160724,0.00067641644,0.00040850163,0.00019398172,0.0004959348,0.0000019396557],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008570445,0.00029004493,0.13629808,0.0005709463,0.0038444963,0.000007572258,0.0048100404,0.00038632326,0.7978976,0.03436804,0.0011586905,0.011797743],"study_design_scores_gemma":[0.008949693,0.0010218171,0.31792963,0.004359718,0.0011387223,0.00005993228,0.010746957,0.6155361,0.022313394,0.016063841,0.00057942496,0.0013007979],"about_ca_topic_score_codex":0.000036786216,"about_ca_topic_score_gemma":8.6629683e-7,"teacher_disagreement_score":0.7755842,"about_ca_system_score_codex":0.00010214944,"about_ca_system_score_gemma":0.0001619529,"threshold_uncertainty_score":0.99988544},"labels":[],"label_agreement":null},{"id":"W3123968004","doi":"10.1111/2041-210x.13563","title":"Spot size, distance and emissivity errors in field applications of infrared thermography","year":2021,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Thermography; Emissivity; Remote sensing; Infrared; Field (mathematics); Environmental science; Thermal comfort; Optics; Computer science; Statistics; Meteorology; Mathematics; Geography; Physics","score_opus":0.01091215802091733,"score_gpt":0.33755277459822103,"score_spread":0.3266406165773037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123968004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9575977,0.0029506886,0.0352852,0.0006930196,0.000102014434,0.00032370703,0.0000047911917,0.000015522048,0.003027393],"genre_scores_gemma":[0.91250604,0.00037813076,0.08664443,0.00025323837,0.000024474957,0.00007203878,0.000005075151,0.0000060442408,0.00011049759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891055,0.00034421112,0.00029265307,0.00022656214,0.000062604304,0.00016341913],"domain_scores_gemma":[0.9986808,0.0009201285,0.00008282512,0.0002040548,0.00006190931,0.000050299754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089882925,0.00009091781,0.00032347962,0.00021191295,0.000038783113,0.0000016631333,0.000037933023,0.00020303622,0.00005657755],"category_scores_gemma":[0.0009770563,0.00008760216,0.000036513244,0.0006865561,0.00024109981,0.000040176285,0.00003435293,0.00028470816,2.2327508e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001404018,0.00013388108,0.9657482,0.00013538677,0.000022789336,0.000015689568,0.00041932584,0.0000029626303,0.012482346,0.0018065535,0.00002874756,0.019063737],"study_design_scores_gemma":[0.0010448842,0.00011119487,0.966573,0.000079007696,0.000037485766,0.0000362345,0.00044487207,0.0001672247,0.0033946994,0.027642744,0.00039943916,0.0000692206],"about_ca_topic_score_codex":0.000031669606,"about_ca_topic_score_gemma":0.0001731526,"teacher_disagreement_score":0.051359236,"about_ca_system_score_codex":0.000032354,"about_ca_system_score_gemma":0.000056590452,"threshold_uncertainty_score":0.35723123},"labels":[],"label_agreement":null},{"id":"W3124812452","doi":"10.20944/preprints201808.0295.v1","title":"Review of Biomedical Applications of Contactless Imaging of Neonates using Infrared Thermography and Beyond","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Winnipeg Regional Health Authority; University of Saskatchewan","funders":"","keywords":"Thermography; Infrared; Biomedical engineering; Modalities; Modality (human–computer interaction); Continuous monitoring; Materials science; Medicine; Computer science; Optics; Human–computer interaction; Engineering; Physics","score_opus":0.05648404465071857,"score_gpt":0.36287565134680727,"score_spread":0.30639160669608867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124812452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9287898,0.059211798,0.0012668947,0.00036434233,0.00024515387,0.0027608096,0.00023819423,0.000069307695,0.007053677],"genre_scores_gemma":[0.9769026,0.018812709,0.0032370817,0.00048298444,0.00017095731,0.00014057633,0.0001692678,0.000062440624,0.000021357135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996691,0.00015701959,0.0015487176,0.0006712878,0.0006478366,0.00028415592],"domain_scores_gemma":[0.995394,0.00019877806,0.0014884386,0.0016618456,0.0010511392,0.00020582428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013622179,0.00038726025,0.0015827277,0.00077097444,0.000041141466,0.0000024356452,0.00048427415,0.00029828626,0.0006612735],"category_scores_gemma":[0.00040841603,0.0003467295,0.0004210783,0.0007090807,0.0018229294,0.00004928413,0.00092211465,0.00065400486,0.0000042523516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019101308,0.00052058836,0.7868661,0.05972583,0.0010918519,0.00000846919,0.0013404391,8.462736e-7,0.14355758,0.00030450674,0.00014070349,0.006252041],"study_design_scores_gemma":[0.0043732813,0.00031677968,0.62820995,0.14020146,0.0049453713,0.00020111763,0.0009654646,0.00030675146,0.20117873,0.012340938,0.0058902586,0.0010699208],"about_ca_topic_score_codex":0.00014814032,"about_ca_topic_score_gemma":4.931306e-7,"teacher_disagreement_score":0.15865621,"about_ca_system_score_codex":0.000038985236,"about_ca_system_score_gemma":0.0003214011,"threshold_uncertainty_score":0.9998985},"labels":[],"label_agreement":null},{"id":"W3137173878","doi":"","title":"Transillumination breast spectroscopy (TiBS) as biomarker for breast cancer risk assessment.","year":2008,"lang":"en","type":"article","venue":"Cancer Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Breast cancer; Medicine; Transillumination; Mammography; Biomarker; Cancer; Breast tissue; Oncology; Internal medicine; Pathology; Radiology; Biology","score_opus":0.05775162085625667,"score_gpt":0.4490521966802276,"score_spread":0.39130057582397093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137173878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9721109,0.0015890204,0.00065820594,0.012189469,0.0005072114,0.0021390703,0.0015230831,0.00012695987,0.009156046],"genre_scores_gemma":[0.9888613,0.005379679,0.00079079834,0.0003762924,0.0011760143,0.0012770775,0.00007572955,0.000094763374,0.0019683228],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9964494,0.00022695768,0.0003650223,0.0005989909,0.001408929,0.00095069397],"domain_scores_gemma":[0.99726033,0.00024895405,0.00010091069,0.00053877715,0.0014651852,0.00038582744],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013781268,0.0002559047,0.00045320974,0.0006911019,0.0005521148,0.000027669254,0.0002674796,0.00019067111,0.0052733794],"category_scores_gemma":[0.00010460252,0.00021478251,0.00020777663,0.0012931079,0.00084129925,0.00017816067,0.000036295165,0.00088758406,0.000034519737],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045999037,0.00055849133,0.16743279,0.0005743775,0.00081065536,0.00021180169,0.0014871907,0.000007049996,0.6835589,0.00042610263,0.07691176,0.06342101],"study_design_scores_gemma":[0.008896263,0.00082192867,0.945887,0.0007654933,0.0002654694,0.0011553839,0.00061143836,0.0011567695,0.028590048,0.00066377514,0.010767517,0.00041890587],"about_ca_topic_score_codex":0.001995568,"about_ca_topic_score_gemma":0.00013319458,"teacher_disagreement_score":0.77845424,"about_ca_system_score_codex":0.0008225826,"about_ca_system_score_gemma":0.001767275,"threshold_uncertainty_score":0.9956359},"labels":[],"label_agreement":null},{"id":"W3142002010","doi":"10.3390/app11073248","title":"SPAER: Sparse Deep Convolutional Autoencoder Model to Extract Low Dimensional Imaging Biomarkers for Early Detection of Breast Cancer Using Dynamic Thermography","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Autoencoder; Breast cancer; Artificial intelligence; Mammography; Matrix decomposition; Pattern recognition (psychology); Breast cancer screening; Non-negative matrix factorization; Deep learning; Medicine; Computer science; Cancer; Internal medicine; Physics","score_opus":0.01818192539363382,"score_gpt":0.2917501883199882,"score_spread":0.2735682629263544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142002010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87357926,0.0004445305,0.12428845,0.00048465052,0.00026776182,0.0005028565,0.00007376107,0.000043270993,0.00031544454],"genre_scores_gemma":[0.96547055,0.00000868948,0.03377888,0.00055468525,0.000073293275,0.00007034179,0.000010431344,0.000020221854,0.000012879899],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806464,0.000021758187,0.00034081982,0.00050175225,0.0006607393,0.00041028322],"domain_scores_gemma":[0.9990712,0.000106865846,0.00015077303,0.00018893807,0.00032033256,0.00016190064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051009655,0.00019089294,0.0002973872,0.00042852346,0.00028491914,0.000022397517,0.0001367646,0.000065434615,0.00008180355],"category_scores_gemma":[0.000026935852,0.00016264261,0.00016087641,0.0012354151,0.00065980054,0.00012044765,0.000044155087,0.00012257401,0.0000015413267],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031493334,0.000106482235,0.008085551,0.000055160417,0.00011143133,0.000006068249,0.00026587563,0.016915198,0.96276444,0.00027435945,0.000021396228,0.0110790925],"study_design_scores_gemma":[0.0011826982,0.00006891201,0.092818156,0.00022351685,0.00017562619,0.00011652379,0.000459469,0.87518525,0.028135296,0.0013872862,0.000008191331,0.00023908296],"about_ca_topic_score_codex":0.00009451007,"about_ca_topic_score_gemma":0.00003621685,"teacher_disagreement_score":0.93462914,"about_ca_system_score_codex":0.000090999645,"about_ca_system_score_gemma":0.00043528553,"threshold_uncertainty_score":0.66323733},"labels":[],"label_agreement":null},{"id":"W3157438842","doi":"10.1002/hbm.25457","title":"The structural and functional connectivity neural underpinnings of body image","year":2021,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Discovery Centre; University of Toronto","funders":"Versus Arthritis; University of the West of England","keywords":"Functional connectivity; Neuroscience; Psychology; Neuroimaging; Artificial intelligence; Computer science","score_opus":0.023116804964018814,"score_gpt":0.27540956833494784,"score_spread":0.25229276337092904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157438842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912857,0.0005206933,0.0005090197,0.004400639,0.00017519442,0.00015346087,0.0000032924745,0.00004271076,0.0029092883],"genre_scores_gemma":[0.997794,0.0000057163325,0.00027152343,0.0011492225,0.00025075293,0.000005421687,0.000024055515,0.000015227103,0.0004841193],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99897254,0.000093495815,0.00024305945,0.00021453889,0.0002615089,0.000214842],"domain_scores_gemma":[0.99896646,0.00041512333,0.00010595748,0.00026011697,0.00018280835,0.00006951052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037673197,0.00012275671,0.00023206815,0.00007944565,0.00041205142,0.000027682243,0.000050342744,0.0000514262,0.00018747654],"category_scores_gemma":[0.00035728907,0.000091156966,0.000082704624,0.00020946603,0.0004501669,0.00007084284,0.00006750381,0.00027879348,0.0000011019551],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057131285,0.000016701199,0.031146182,0.00013838259,0.00015000522,0.00007325909,0.00086598936,0.0000016347358,0.94833285,0.016035229,0.002184992,0.0009976287],"study_design_scores_gemma":[0.0013459567,0.00009739497,0.98719525,0.00012203955,0.000039607443,0.00030133512,0.0015174749,0.0004257791,0.0014107381,0.006327295,0.0011167992,0.00010032501],"about_ca_topic_score_codex":0.000014322759,"about_ca_topic_score_gemma":0.0000060566435,"teacher_disagreement_score":0.9560491,"about_ca_system_score_codex":0.000025107822,"about_ca_system_score_gemma":0.00005001048,"threshold_uncertainty_score":0.37172732},"labels":[],"label_agreement":null},{"id":"W3158135488","doi":"10.21203/rs.3.rs-46079/v1","title":"Determination of Localized Skin Temperature of the Transtibial Residual Limb","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Hamadan University of Medical Sciences","keywords":"Residual; Skin temperature; Medicine; Biomedical engineering; Mathematics; Algorithm","score_opus":0.05012727512253687,"score_gpt":0.39000562826636587,"score_spread":0.33987835314382897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158135488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785415,0.0018220545,0.000206172,0.009585614,0.0005261464,0.0043021715,0.0005143387,0.00006850891,0.004433497],"genre_scores_gemma":[0.9973683,0.0002675106,0.0010523413,0.00009457604,0.0007030025,0.00007277123,0.00017498265,0.000056233526,0.00021032974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9947438,0.00091070705,0.0007104239,0.0004981194,0.0027230089,0.00041394468],"domain_scores_gemma":[0.9965046,0.00044075365,0.00024051455,0.0011561719,0.0014709602,0.00018696707],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00165377,0.00026889614,0.0008275917,0.0005453415,0.000096568125,0.000015940606,0.0006577374,0.0006849451,0.00022627198],"category_scores_gemma":[0.0019148552,0.00018025414,0.00047900615,0.0010920517,0.0009587029,0.000028750204,0.00045430652,0.003198801,0.0000040151635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016539855,0.0021210676,0.022022367,0.07402692,0.0013661021,0.0006674085,0.029416401,0.00014148223,0.771116,0.0032855363,0.02345836,0.05583848],"study_design_scores_gemma":[0.011492659,0.0065983627,0.18677866,0.03090787,0.0009125966,0.000093514325,0.0043234946,0.0013121328,0.74172646,0.009588214,0.0054813866,0.0007846262],"about_ca_topic_score_codex":0.00014170581,"about_ca_topic_score_gemma":0.000025114232,"teacher_disagreement_score":0.1647563,"about_ca_system_score_codex":0.00011085308,"about_ca_system_score_gemma":0.001125229,"threshold_uncertainty_score":0.99910086},"labels":[],"label_agreement":null},{"id":"W3160215050","doi":"10.1096/fasebj.31.1_supplement.840.5","title":"The Effect of Protease‐Activated Receptor 2 on Cutaneous Vasodilation and Sweating in Young Males During Exercise in the Heat","year":2017,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SWEAT; Vasodilation; Microdialysis; Internal medicine; Endocrinology; Chemistry; Medicine; Thermoregulation","score_opus":0.008775362655260013,"score_gpt":0.2593781713258464,"score_spread":0.2506028086705864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160215050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968329,0.0003207313,0.0000018401212,0.0011133453,0.00013883952,0.00086915883,0.0000016471416,0.0000071978743,0.0007143483],"genre_scores_gemma":[0.9993769,0.00031895615,0.000024438636,0.00001967213,0.00017954802,0.000024601668,0.0000013700759,0.000014507365,0.000040015024],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99862796,0.00034710008,0.00031245503,0.00010485359,0.00037814947,0.00022945384],"domain_scores_gemma":[0.9987777,0.00048883155,0.00023793076,0.00040944034,0.00004013859,0.000045974375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001956602,0.00013630846,0.00024215109,0.000118617805,0.0007116735,0.00007169322,0.00026855138,0.000056388715,0.000014949446],"category_scores_gemma":[0.00070482446,0.000056833866,0.00005460059,0.00011262896,0.0002390881,0.00008140117,0.000030882853,0.0007719758,0.0000018771044],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00334204,0.000036412315,0.42496344,0.00010444506,0.00004395443,0.00016803811,0.0038153187,0.00006969235,0.561148,0.000010097211,0.000018120836,0.0062804776],"study_design_scores_gemma":[0.0037995756,0.0009149706,0.6731751,0.0042293714,0.00010292634,0.0019554133,0.0016998923,0.00034106977,0.31355247,0.00011936108,0.0000070016717,0.00010286527],"about_ca_topic_score_codex":0.00009787758,"about_ca_topic_score_gemma":0.000015164693,"teacher_disagreement_score":0.24821165,"about_ca_system_score_codex":0.000058888596,"about_ca_system_score_gemma":0.00002472962,"threshold_uncertainty_score":0.54736894},"labels":[],"label_agreement":null},{"id":"W3160771472","doi":"10.14393/ufu.di.2021.6006","title":"Reconstrução de um modelo 3D a partir de imagens térmicas 2D de uma mama via câmera infravermelha","year":2021,"lang":"pt","type":"dissertation","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bibliographical Society of Canada","funders":"","keywords":"Humanities; Geology; Physics; Art","score_opus":0.013565069926544677,"score_gpt":0.28815961005449486,"score_spread":0.2745945401279502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160771472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9127313,0.004130788,0.034294304,0.0010127465,0.0023072725,0.0018007868,0.00015051875,0.0005727264,0.042999584],"genre_scores_gemma":[0.89725757,0.0028000781,0.045729376,0.008244192,0.0023930694,0.000574901,0.003696276,0.000823296,0.03848127],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99116296,0.0008051642,0.0021717376,0.0016400644,0.0012616056,0.0029584663],"domain_scores_gemma":[0.99376583,0.0005808045,0.00090898277,0.0019472425,0.0011731188,0.0016240011],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0018636937,0.0016339916,0.0023167417,0.0011320241,0.00055490737,0.00019970548,0.0007944237,0.0022541543,0.015866125],"category_scores_gemma":[0.0011053428,0.0016619732,0.0010817721,0.0014819524,0.0007589887,0.00024099767,0.00013683963,0.0032644535,0.00054008194],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050795567,0.0034232563,0.09008723,0.0075733266,0.008624087,0.015274692,0.12461959,0.0009370469,0.42203197,0.0017824604,0.03047244,0.29009435],"study_design_scores_gemma":[0.024901634,0.0047889496,0.08153248,0.021602446,0.019103343,0.013647802,0.11945969,0.41207132,0.28007475,0.00662992,0.0073902053,0.008797447],"about_ca_topic_score_codex":0.0014395852,"about_ca_topic_score_gemma":0.00029984044,"teacher_disagreement_score":0.41113427,"about_ca_system_score_codex":0.0011874089,"about_ca_system_score_gemma":0.004812531,"threshold_uncertainty_score":0.99964076},"labels":[],"label_agreement":null},{"id":"W3163846989","doi":"10.1002/adtp.202000267","title":"The Effects of Localized Heat on the Hallmarks of Cancer","year":2021,"lang":"en","type":"article","venue":"Advanced Therapeutics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Horizon 2020 Framework Programme; Irish Research Council","keywords":"Metastasis; Cancer; Medicine; Cancer research; Cancer treatment; Immune system; Tumor cells; Immunology; Internal medicine","score_opus":0.010631179073573247,"score_gpt":0.30374589893706216,"score_spread":0.2931147198634889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163846989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9264418,0.055506997,0.0005192399,0.009552474,0.0012023487,0.0010174318,0.000012971359,0.000048046997,0.005698689],"genre_scores_gemma":[0.98268676,0.011498767,0.00034737613,0.004814829,0.000088261084,0.000059063685,0.000004827166,0.0000353198,0.00046482167],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870926,0.0001382774,0.00033590366,0.00016222555,0.0004157934,0.00023851232],"domain_scores_gemma":[0.99701315,0.0017513633,0.00012542118,0.0007506134,0.00031400396,0.00004543804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021784272,0.0001596393,0.0003624294,0.000038648537,0.00009783633,0.0000039726174,0.00017441362,0.00007710684,0.000059400656],"category_scores_gemma":[0.00022445756,0.00008023817,0.0001711033,0.0004038972,0.00040655138,0.00001818589,0.000029854662,0.00029400422,0.0000017245505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014681149,0.00034329537,0.0036145635,0.00048570716,0.0013950187,0.00004684189,0.0011633286,0.00014337854,0.76105136,0.01656146,0.00011250974,0.21361442],"study_design_scores_gemma":[0.003235178,0.00078954693,0.00614646,0.0010734298,0.0004382544,0.000012476349,0.0005425898,0.0001653732,0.9266757,0.0033022189,0.057494942,0.00012384396],"about_ca_topic_score_codex":0.000013771854,"about_ca_topic_score_gemma":0.000012953833,"teacher_disagreement_score":0.21349058,"about_ca_system_score_codex":0.00003297031,"about_ca_system_score_gemma":0.000120864024,"threshold_uncertainty_score":0.32720175},"labels":[],"label_agreement":null},{"id":"W3166991518","doi":"","title":"Non invasive procedures in chronic phase after stroke: role of proprioceptive afferents on brain plasticity and sensorimotor control","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Proprioception; Neuroscience; Neuroplasticity; Physical medicine and rehabilitation; Stroke (engine); Psychology; Chronic stroke; Medicine; Rehabilitation; Physics","score_opus":0.006851728687294567,"score_gpt":0.24258013741185466,"score_spread":0.2357284087245601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166991518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868295,0.00067509175,0.00201342,0.0036476338,0.00008019859,0.002039971,0.00034704723,0.00006082571,0.004306319],"genre_scores_gemma":[0.9973315,0.00032289556,0.00091147376,0.0001786279,0.00006276836,0.00026853237,0.00009289519,0.00005114337,0.0007801932],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963172,0.0014262776,0.0006067066,0.0007286921,0.00053827465,0.00038285193],"domain_scores_gemma":[0.99456686,0.0023644788,0.00055068405,0.0009892842,0.0013102767,0.00021844325],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015030716,0.00041326685,0.00076058274,0.00049017015,0.00006892636,0.000038518858,0.0003556982,0.000370184,0.00012570445],"category_scores_gemma":[0.004310089,0.0003362069,0.00016489842,0.00019846826,0.0005126709,0.000063632404,0.00033750953,0.0007831022,0.000008268112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054416205,0.0053925742,0.11079651,0.00557535,0.0012152612,0.00011686865,0.041769687,0.000027438624,0.78433067,0.004559806,0.00071029266,0.04006393],"study_design_scores_gemma":[0.025137493,0.00007327802,0.26083618,0.04830358,0.00042318358,0.000031525266,0.0005874996,0.0037507303,0.65726554,0.0024217127,0.000284119,0.0008851727],"about_ca_topic_score_codex":0.00019077388,"about_ca_topic_score_gemma":0.00080669206,"teacher_disagreement_score":0.15003967,"about_ca_system_score_codex":0.00031272508,"about_ca_system_score_gemma":0.0010118998,"threshold_uncertainty_score":0.999909},"labels":[],"label_agreement":null},{"id":"W3168184531","doi":"10.1109/tim.2021.3085956","title":"A Diagnostic Biomarker for Breast Cancer Screening <i>via</i> Hilbert Embedded Deep Low-Rank Matrix Approximation","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Breast cancer; Rank (graph theory); Computer science; Mathematics; Cancer; Medicine; Combinatorics; Internal medicine","score_opus":0.02782245041002921,"score_gpt":0.29097211159689196,"score_spread":0.2631496611868627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168184531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10436878,0.0003639093,0.8897456,0.0028634872,0.0008218993,0.0014315854,0.00012342152,0.00009867947,0.00018264855],"genre_scores_gemma":[0.99029,0.0003330627,0.007057751,0.0012809451,0.00009674513,0.00074740604,0.0000528315,0.000038533606,0.000102761915],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982145,0.00006840814,0.00041475327,0.0003630881,0.00067155424,0.00026773452],"domain_scores_gemma":[0.9988829,0.00010101963,0.00011242993,0.00021510039,0.00050559116,0.00018298431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033516288,0.00022641869,0.0002756402,0.00022996875,0.00025243324,0.000036329446,0.00004071024,0.00009906349,0.00039189562],"category_scores_gemma":[0.000026842135,0.00021489161,0.0001529531,0.00035677268,0.000071010654,0.00015170472,9.728928e-7,0.00016232453,0.000004971336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013806096,0.00077725603,0.0010080844,0.00072765676,0.00083901326,0.000016052112,0.0013227602,0.0006739521,0.17922236,0.000047308687,0.00027318738,0.81371176],"study_design_scores_gemma":[0.047997642,0.0012279917,0.08834049,0.0049512684,0.0044764117,0.0011719117,0.0056945137,0.040508103,0.8022915,0.00040333404,0.0014472818,0.0014895363],"about_ca_topic_score_codex":0.000043323977,"about_ca_topic_score_gemma":0.00007098725,"teacher_disagreement_score":0.8859212,"about_ca_system_score_codex":0.00020134953,"about_ca_system_score_gemma":0.0001226262,"threshold_uncertainty_score":0.87630254},"labels":[],"label_agreement":null},{"id":"W3173419778","doi":"10.1096/fasebj.2018.32.1_supplement.722.4","title":"Administration of Atrial Natriuretic Peptide Does Not Modulate Sweating or Cutaneous Vasodilation in Young Men Exercising in the Heat","year":2018,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Atrial natriuretic peptide; Medicine; Vasodilation; Internal medicine; Endocrinology; Thermoregulation; Microdialysis; Venous return curve; Hemodynamics","score_opus":0.018990174118513527,"score_gpt":0.2903861007624796,"score_spread":0.2713959266439661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173419778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958699,0.000084743726,0.00021720261,0.0012836698,0.00037518592,0.00046993632,0.000004060452,0.000011427553,0.0016839091],"genre_scores_gemma":[0.997524,0.00009180176,0.00058750395,0.00015267162,0.0015436776,0.0000030898218,0.000005220709,0.000017352833,0.00007464373],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99793726,0.00030735586,0.00071022223,0.00013735406,0.0006338839,0.0002738983],"domain_scores_gemma":[0.9989131,0.00036774742,0.00024764606,0.00026824835,0.00014911471,0.000054148193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022259508,0.00014880141,0.0003011812,0.00027327597,0.00018700096,0.00004062192,0.00021366107,0.000089578,0.00012534112],"category_scores_gemma":[0.0005191044,0.000067861496,0.00010540703,0.00047399083,0.00021471511,0.00011609608,0.000019217003,0.0006250787,0.0000032738076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01746936,0.00021420626,0.09206029,0.00013611683,0.00018367448,0.0014288006,0.052215014,0.0010155273,0.82451636,0.0002040061,0.00013824756,0.010418378],"study_design_scores_gemma":[0.027144054,0.011996421,0.3035634,0.0075912885,0.0018428947,0.054508034,0.049468648,0.06065639,0.4731284,0.008972893,0.00007556348,0.0010520377],"about_ca_topic_score_codex":0.00013626913,"about_ca_topic_score_gemma":0.00021867847,"teacher_disagreement_score":0.35138798,"about_ca_system_score_codex":0.00010922279,"about_ca_system_score_gemma":0.00016766031,"threshold_uncertainty_score":0.27673116},"labels":[],"label_agreement":null},{"id":"W3175128494","doi":"10.3899/jrheum.210077","title":"A Novel Algorithm Using Within-leg Calibration for Enhanced Accuracy of Detection of Arthritis by Infrared Thermal Imaging in Children","year":2021,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cohort; Ankle; Arthritis; Receiver operating characteristic; Tibia; Knee arthritis; Internal medicine; Surgery; Nuclear medicine; Physical therapy; Osteoarthritis; Pathology","score_opus":0.008148806400587377,"score_gpt":0.2583394576693585,"score_spread":0.25019065126877116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175128494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8114084,0.001678828,0.1862945,0.00016225668,0.00020159195,0.00022154297,0.00001464013,0.0000046418127,0.000013571722],"genre_scores_gemma":[0.989264,0.00034524835,0.010245282,0.000087285815,0.000022948683,0.0000029196847,0.0000093966555,0.000019401581,0.0000034800487],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99837273,0.00014932234,0.0009882209,0.00009179196,0.0002245791,0.00017335336],"domain_scores_gemma":[0.99785876,0.00035047295,0.001138565,0.00018307101,0.00042500556,0.000044127555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072689325,0.00011843023,0.000583872,0.00023722994,0.0000411047,0.0000037127838,0.00011561293,0.00008851405,0.000021687443],"category_scores_gemma":[0.00066626933,0.0000887975,0.00012112461,0.00031888008,0.00017949745,0.00016012805,0.000024923025,0.000288036,8.06651e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052486995,0.00013646399,0.025351932,0.00005666616,0.00016843156,0.0000036315682,0.0018045066,0.00012470124,0.9531706,0.000032251428,0.000019347204,0.018606594],"study_design_scores_gemma":[0.008499538,0.00047199285,0.014729315,0.0013311089,0.00020736399,0.013182353,0.0016007521,0.007444389,0.9517066,0.0007058645,0.0000048108323,0.00011592809],"about_ca_topic_score_codex":0.00015968623,"about_ca_topic_score_gemma":0.000010941774,"teacher_disagreement_score":0.17785561,"about_ca_system_score_codex":0.000033823457,"about_ca_system_score_gemma":0.00023315573,"threshold_uncertainty_score":0.36210567},"labels":[],"label_agreement":null},{"id":"W3187010093","doi":"10.3390/healthcare9080923","title":"Are Strength Indicators and Skin Temperature Affected by the Type of Warm-Up in Paralympic Powerlifting Athletes?","year":2021,"lang":"en","type":"article","venue":"Healthcare","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Athletes; Skin temperature; Significant difference; Mathematics; Medicine; Physical therapy; Biomedical engineering; Internal medicine","score_opus":0.014748211945530042,"score_gpt":0.30496914516001783,"score_spread":0.2902209332144878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187010093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97474474,0.018549034,3.4088336e-7,0.0058627874,0.00023804733,0.00036897956,0.000044062923,0.000034830315,0.00015717279],"genre_scores_gemma":[0.9963604,0.00061518693,0.00008786709,0.002547947,0.000103989776,0.000013705366,0.0001127363,0.000027970977,0.00013016295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846303,0.0002429465,0.00035892296,0.00029170595,0.0003210488,0.00032236695],"domain_scores_gemma":[0.99886495,0.00015655783,0.00022584846,0.0004008099,0.00019456346,0.00015727797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029525973,0.00017266981,0.0004327728,0.00018496311,0.00008184166,0.000008399365,0.00008664554,0.00021622708,0.000065640284],"category_scores_gemma":[0.0004713283,0.00012077749,0.000054081967,0.0011846222,0.00013190247,0.000024479348,0.000042265485,0.00065612135,0.000001977306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015944583,0.00015418291,0.94871753,0.0012517874,0.00009634147,0.00020789071,0.0053999657,4.7594023e-7,0.013532274,0.00018690607,0.00290075,0.027392417],"study_design_scores_gemma":[0.0019939966,0.0003140403,0.97570163,0.0017093343,0.000056028748,0.000121207886,0.007255255,0.000011651914,0.010134912,0.000052010582,0.0024923095,0.00015761488],"about_ca_topic_score_codex":0.00013125726,"about_ca_topic_score_gemma":0.00013674804,"teacher_disagreement_score":0.027234802,"about_ca_system_score_codex":0.000053015847,"about_ca_system_score_gemma":0.00019263,"threshold_uncertainty_score":0.49251634},"labels":[],"label_agreement":null},{"id":"W3194510569","doi":"10.11159/icmie21.124","title":"Detection of Tumours Using Breast Surface Thermal Patterns","year":2021,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nazarbayev University","keywords":"Computer science","score_opus":0.0070485875855741216,"score_gpt":0.2127412967465634,"score_spread":0.20569270916098928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194510569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986597,0.000019679246,0.0000043131768,0.00018628387,0.0007876225,0.00015859732,0.000034071516,0.00005291278,0.0000968279],"genre_scores_gemma":[0.99861157,0.000026498261,0.0009759449,0.0000569807,0.00022081731,0.0000047192198,0.0000031913726,0.00004120288,0.000059046684],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988244,0.000006309472,0.00037262798,0.00026164934,0.00029676736,0.00023823432],"domain_scores_gemma":[0.99922276,0.00004102004,0.00017889228,0.00016099302,0.0002934679,0.00010289537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015156883,0.00020432107,0.0004426092,0.000074914504,0.00003786227,0.000023124128,0.00013403996,0.000101244856,0.00005444925],"category_scores_gemma":[0.00011324012,0.00016092896,0.00012132745,0.0003050069,0.00007062714,0.00006375736,0.00014440775,0.00023715172,2.7530038e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024683867,0.000068943424,0.0003297584,0.0007152361,0.00007475715,0.000005206439,0.000009881777,0.00003741523,0.99790865,0.00041774163,0.000011507263,0.00017408402],"study_design_scores_gemma":[0.00080646574,0.000049229042,0.00044406345,0.0013297966,0.00018175768,0.0002050803,0.00006965104,0.0011456405,0.99553555,0.000054511518,0.000038007158,0.00014024132],"about_ca_topic_score_codex":0.000008863242,"about_ca_topic_score_gemma":4.943518e-7,"teacher_disagreement_score":0.0023730742,"about_ca_system_score_codex":0.00003544777,"about_ca_system_score_gemma":0.000028059603,"threshold_uncertainty_score":0.6562493},"labels":[],"label_agreement":null},{"id":"W3197647126","doi":"10.1016/j.bonr.2021.101122","title":"The effect of low intensity pulsed ultrasound on mandibular condylar growth in young adult rats","year":2021,"lang":"en","type":"article","venue":"Bone Reports","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Faculty of Medicine and Dentistry, University of Alberta; University of Alberta","keywords":"Condyle; Low-intensity pulsed ultrasound; Intensity (physics); Ultrasound; Orthodontics; Dentistry; Medicine; Radiology; Therapeutic ultrasound; Optics; Physics","score_opus":0.0035146954772866225,"score_gpt":0.22981767304759565,"score_spread":0.22630297757030904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197647126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99175304,0.0006478078,0.000012512112,0.0004892851,0.0006114738,0.0005727957,0.0000028531867,0.000040313076,0.0058698924],"genre_scores_gemma":[0.99895215,0.00015488037,0.000038812035,0.00026097795,0.00011521076,0.000028451857,0.000058710008,0.000029290068,0.00036148902],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978543,0.00016576801,0.00069849624,0.0003618924,0.00059665664,0.00032292397],"domain_scores_gemma":[0.9979555,0.00043120593,0.00029336385,0.000753863,0.0004546415,0.0001114451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012092772,0.00021528186,0.00066296424,0.00013595357,0.00007830032,0.00001257379,0.000053812666,0.00013701612,0.00005292121],"category_scores_gemma":[0.003758209,0.00014021779,0.00019172409,0.00046710836,0.00020841375,0.000035739497,0.000030916057,0.00042633817,0.0000044634726],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012087573,0.00017337751,0.78535074,0.00042793687,0.00021846492,0.026181439,0.00034000055,0.0000044839007,0.18409468,0.00013250482,0.0013906648,0.00047696172],"study_design_scores_gemma":[0.0018039495,0.00077877555,0.3075429,0.0009854969,0.00014957541,0.0074918503,0.00014004712,0.000011946234,0.68045205,0.00040964465,0.000088262634,0.00014550822],"about_ca_topic_score_codex":0.00016732649,"about_ca_topic_score_gemma":0.000057040354,"teacher_disagreement_score":0.49635738,"about_ca_system_score_codex":0.0000723546,"about_ca_system_score_gemma":0.00010016957,"threshold_uncertainty_score":0.5717915},"labels":[],"label_agreement":null},{"id":"W3207015947","doi":"10.1016/j.jtherbio.2021.103109","title":"Editorial: Advances in thermal imaging","year":2021,"lang":"en","type":"editorial","venue":"Journal of Thermal Biology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Royal Society","keywords":"Environmental science","score_opus":0.004630546163783892,"score_gpt":0.299705136079861,"score_spread":0.2950745899160771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207015947","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068757837,0.041409813,0.0000112179005,0.00050852535,0.9485814,0.0001745796,0.000037132722,0.000020034366,0.0023815094],"genre_scores_gemma":[0.003611778,0.0037505405,0.00038930977,0.00023659013,0.991707,0.00000677995,0.00011767769,0.00007980256,0.000100473684],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963085,0.000442371,0.0014048549,0.00035906342,0.0008960726,0.00058915385],"domain_scores_gemma":[0.9957322,0.0010465767,0.001344026,0.00043083803,0.001242851,0.00020351839],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017235815,0.00046259523,0.001736962,0.00076320185,0.000043825698,0.000020754276,0.00052888494,0.001214479,0.00038280574],"category_scores_gemma":[0.0025017015,0.00033396564,0.0005816113,0.00036573622,0.00032637423,0.00020398888,0.00011300788,0.0037514016,0.000010117396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00140062,0.00017547674,0.0037572526,0.00017514241,0.00026947274,0.00093967404,0.00021151919,0.000010592147,0.039778154,0.000009874221,0.941053,0.012219246],"study_design_scores_gemma":[0.0039067566,0.0008569739,0.00042404304,0.0013250991,0.00029513225,0.00014420421,0.0001485776,0.000002096482,0.0006094328,0.0001487494,0.99186105,0.00027786038],"about_ca_topic_score_codex":0.00002127558,"about_ca_topic_score_gemma":0.0000044712124,"teacher_disagreement_score":0.0508081,"about_ca_system_score_codex":0.00023313267,"about_ca_system_score_gemma":0.0011405314,"threshold_uncertainty_score":0.99991125},"labels":[],"label_agreement":null},{"id":"W3209694672","doi":"10.32920/ryerson.14636139.v1","title":"Analytical and experimental solution for heat source located under skin: chest tumor detection via IR camera","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Imaging phantom; Bioheat transfer; Body surface; Biomedical engineering; RADIUS; Intensity (physics); Infrared; Materials science; Mechanics; Computer science; Optics; Physics; Heat transfer; Mathematics; Geometry","score_opus":0.01888823893993311,"score_gpt":0.2879119895144061,"score_spread":0.269023750574473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209694672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7181741,0.0014332486,0.27692315,0.00086045003,0.0005585921,0.0012462261,0.0000063180682,0.0001865837,0.00061135064],"genre_scores_gemma":[0.9936754,0.000026874568,0.0031668209,0.0014656081,0.0006747681,0.00020771583,0.00032324958,0.00007818279,0.00038138762],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978738,0.00006687277,0.00049170793,0.00076083577,0.00039137213,0.00041543733],"domain_scores_gemma":[0.9987778,0.000085639935,0.00009787348,0.0005118503,0.00025222005,0.00027459464],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002815296,0.00042388582,0.00073316833,0.00030765482,0.00013574872,0.00005050226,0.000088447225,0.00042201107,0.0003234624],"category_scores_gemma":[0.00006918259,0.00037713122,0.0002807651,0.00023461669,0.0003015018,0.000052470823,0.00021416924,0.00072217046,0.0000044232465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004608533,0.0025793794,0.0052702706,0.004408386,0.0040205726,0.0002897517,0.0053759203,0.001004238,0.932106,0.00020214457,0.002275319,0.037859444],"study_design_scores_gemma":[0.009557906,0.0022162197,0.026576992,0.0013815283,0.002038172,0.0016165702,0.008091476,0.2988897,0.64683086,0.00027911976,0.0011780732,0.0013433928],"about_ca_topic_score_codex":0.00061044213,"about_ca_topic_score_gemma":0.000040872754,"teacher_disagreement_score":0.29788548,"about_ca_system_score_codex":0.00032783003,"about_ca_system_score_gemma":0.0001528869,"threshold_uncertainty_score":0.99986804},"labels":[],"label_agreement":null},{"id":"W3210778884","doi":"10.18176/archmeddeporte.00050","title":"Impact of airflow on body cooling in exercise: an exploratory study","year":2021,"lang":"en","type":"article","venue":"Archivos de Medicina del Deporte","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Biceps; Airflow; Medicine; Treadmill; Crossover study; Intensity (physics); Physical therapy; Upper body; Cardiology; Physical medicine and rehabilitation; Physical strength; Placebo; Physics","score_opus":0.021603169671353974,"score_gpt":0.32865129074457156,"score_spread":0.3070481210732176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210778884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954422,0.0007938476,0.00034827576,0.000106841864,0.00023426613,0.0009130693,0.000010908093,0.00009388859,0.0020566822],"genre_scores_gemma":[0.9980169,0.00024861612,0.00070985046,0.00043645198,0.00027793777,0.00008625495,0.00008446903,0.00008099317,0.000058523212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996466,0.00030883309,0.0009953799,0.00059559126,0.0009710257,0.00066317763],"domain_scores_gemma":[0.9975164,0.00021603597,0.00025936306,0.0012169105,0.00023923283,0.00055209245],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012733479,0.00037348832,0.0010530122,0.0007563075,0.00006339572,0.000008170636,0.00022121257,0.00012127,0.00020993108],"category_scores_gemma":[0.000622814,0.00030577538,0.0002482699,0.0009229644,0.00021850152,0.00011582546,0.00007130923,0.0008409952,0.000010067127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018164399,0.0041969265,0.9064868,0.00019278008,0.00036886908,0.018902535,0.017144747,0.00019646328,0.032923814,0.000040401213,0.00035243397,0.017377768],"study_design_scores_gemma":[0.0063406443,0.0056826016,0.97290975,0.001561909,0.00040983924,0.00067592965,0.00727291,0.0012903727,0.0031690814,0.00039238043,0.00002418699,0.000270391],"about_ca_topic_score_codex":0.0002810095,"about_ca_topic_score_gemma":0.0001404,"teacher_disagreement_score":0.06642293,"about_ca_system_score_codex":0.00016743591,"about_ca_system_score_gemma":0.0009049125,"threshold_uncertainty_score":0.99993944},"labels":[],"label_agreement":null},{"id":"W32463580","doi":"10.1002/cam4.3133","title":"Notice of Correction","year":2011,"lang":"en","type":"article","venue":"Journal of the Canadian Chiropractic Association","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fudan University; National Natural Science Foundation of China","keywords":"Notice; Medicine; Statistics; Audiology; Psychology; Demography; Mathematics","score_opus":0.024211413337338394,"score_gpt":0.24106215848254572,"score_spread":0.21685074514520733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W32463580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9342244,0.00010925406,0.00004143261,0.0064046616,0.005793018,0.000210823,0.000004380399,0.000006390999,0.053205643],"genre_scores_gemma":[0.99704796,0.000017833338,0.00056490104,0.00082006765,0.00034673774,5.083888e-7,7.236539e-7,0.000010927187,0.001190321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998818,0.00009757973,0.00039852402,0.000048685884,0.0004850446,0.00015216583],"domain_scores_gemma":[0.99739784,0.00010904388,0.00148745,0.0001573264,0.0006774941,0.0001708634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011192118,0.00006758988,0.00021523084,0.00024568095,0.000090310714,0.0000058114615,0.000113144044,0.0001259981,0.00020503846],"category_scores_gemma":[0.003766099,0.000046312343,0.00016952652,0.0003345555,0.00003097954,0.00013919346,0.000006083685,0.00051927386,0.000006176986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004263715,0.00023403307,0.93162805,0.000052659907,0.0010106327,0.00008501127,0.0061872276,0.000016919073,0.004078832,0.0003728276,0.04829094,0.0076164724],"study_design_scores_gemma":[0.0008820845,0.00030884944,0.98651713,0.00018564292,0.00068547437,0.00041401308,0.00041569312,0.00005552184,0.0037007586,0.0003694685,0.006405345,0.000060020993],"about_ca_topic_score_codex":0.0133769475,"about_ca_topic_score_gemma":0.012880852,"teacher_disagreement_score":0.06282358,"about_ca_system_score_codex":0.0011625241,"about_ca_system_score_gemma":0.000871479,"threshold_uncertainty_score":0.9931931},"labels":[],"label_agreement":null},{"id":"W4200266605","doi":"10.3390/engproc2021008030","title":"Concentrated Thermomics for Early Diagnosis of Breast Cancer","year":2021,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Breast cancer; Autoencoder; Non-negative matrix factorization; Artificial intelligence; Breast cancer screening; Medicine; Cancer; Matrix decomposition; Pattern recognition (psychology); Artificial neural network; Radiology; Computer science; Internal medicine; Mammography","score_opus":0.015219056748750938,"score_gpt":0.2896369892047286,"score_spread":0.2744179324559776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200266605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901542,0.00089345576,0.00029564934,0.0030146972,0.00023682149,0.00039779732,0.00018480983,0.000044741384,0.0047777966],"genre_scores_gemma":[0.9959015,0.0004729381,0.0010147225,0.0015130182,0.0001815,0.0001181098,0.00003435073,0.000023142149,0.0007406838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924356,0.000017945002,0.00022907672,0.00015779692,0.0001579281,0.00019371325],"domain_scores_gemma":[0.9989815,0.00012110853,0.000064832144,0.00022554392,0.00051618676,0.00009088098],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008534669,0.0000981491,0.00029301873,0.000043943543,0.000022526905,0.000004167425,0.0000522476,0.00007562386,0.0022963888],"category_scores_gemma":[0.000057742098,0.00007517586,0.00012270143,0.00027658136,0.00009727336,0.000028902965,0.000012350199,0.00008226528,0.0000025438994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005894987,0.00034555266,0.87240094,0.00030338785,0.00063288753,0.000050321367,0.0007099024,0.0000037009218,0.09401639,0.0030086553,0.008257366,0.019681422],"study_design_scores_gemma":[0.0053534773,0.00027974267,0.72132957,0.00046190934,0.00045020325,0.000080848964,0.0005062068,0.00017935067,0.2686073,0.0003444816,0.002239277,0.00016763937],"about_ca_topic_score_codex":0.00013927533,"about_ca_topic_score_gemma":0.000011526079,"teacher_disagreement_score":0.17459089,"about_ca_system_score_codex":0.000029970824,"about_ca_system_score_gemma":0.00018086436,"threshold_uncertainty_score":0.9986156},"labels":[],"label_agreement":null},{"id":"W4200469080","doi":"10.1007/s10286-021-00822-5","title":"32nd International Symposium on the Autonomic Nervous System","year":2021,"lang":"en","type":"article","venue":"Clinical Autonomic Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Canadian Institutes of Health Research; National Institute for Health and Care Research; Vanderbilt Institute for Clinical and Translational Research; International Collaboration on Repair Discoveries; Vanderbilt University; Craig H. Neilsen Foundation","keywords":"Medicine; Neurology; Autonomic nervous system; Pure autonomic failure; Neuroscience; Intensive care medicine; Internal medicine; Psychiatry; Psychology; Heart rate","score_opus":0.15308118986094094,"score_gpt":0.4529407553359731,"score_spread":0.2998595654750322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200469080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7457497,0.00020858784,0.00004107777,0.07513716,0.002712756,0.0006764473,0.00001943676,0.00015649958,0.17529833],"genre_scores_gemma":[0.98608494,0.00028027504,0.00024664996,0.0037780495,0.0025469707,0.00009514953,0.000049652022,0.000054526594,0.006863767],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956827,0.000983409,0.0010912946,0.00075521885,0.0008613319,0.0006260515],"domain_scores_gemma":[0.99392533,0.0035260764,0.00013697997,0.0014790399,0.00058229594,0.00035027383],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0069442117,0.00020495967,0.00055220764,0.00019038816,0.00026034005,0.000097915945,0.00073989545,0.00027238455,0.0012402693],"category_scores_gemma":[0.0022012028,0.00013695392,0.00041695146,0.0004418307,0.0008340725,0.000055796478,0.0003728901,0.0021492166,0.0020504105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048499512,0.004554382,0.11514408,0.00058919104,0.0046530804,0.0062670778,0.0016442732,0.000365179,0.042403545,0.24390489,0.4129792,0.16264518],"study_design_scores_gemma":[0.008050037,0.0024404153,0.3574801,0.0020115676,0.00022441872,0.0007196486,0.002206445,0.019018572,0.009387274,0.0019920745,0.5958227,0.0006467587],"about_ca_topic_score_codex":0.000023693745,"about_ca_topic_score_gemma":0.000002389665,"teacher_disagreement_score":0.24233602,"about_ca_system_score_codex":0.0005409212,"about_ca_system_score_gemma":0.0010072076,"threshold_uncertainty_score":0.9996727},"labels":[],"label_agreement":null},{"id":"W4200498431","doi":"10.1177/19476035211063862","title":"Infrared Thermography for the Evaluation of Inflammatory and Degenerative Joint Diseases: A Systematic Review","year":2021,"lang":"en","type":"review","venue":"Cartilage","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Medicine; Thermography; Osteoarthritis; Systematic review; Disease; Cochrane Library; Physical therapy; Dermatology; Internal medicine; Intensive care medicine; MEDLINE; Meta-analysis; Pathology; Alternative medicine; Infrared","score_opus":0.07796824933632517,"score_gpt":0.3671915170821076,"score_spread":0.28922326774578244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200498431","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016068076,0.98306304,0.00006230126,0.000060870494,0.0001890001,0.016118988,0.00017151146,0.000030804313,0.00028741924],"genre_scores_gemma":[0.000028659764,0.9928335,0.00006326809,0.00040672818,0.00018163261,0.006009928,0.00029348605,0.00007105954,0.0001117473],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99600726,0.0010388027,0.0014583792,0.00040018655,0.0008583849,0.00023700486],"domain_scores_gemma":[0.99591905,0.0007560725,0.0010471941,0.0011810181,0.00095440214,0.00014227917],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002829745,0.00046218673,0.003949129,0.00026135708,0.0000973981,0.00001857244,0.00017771669,0.00020103974,0.00008415367],"category_scores_gemma":[0.0031024648,0.00025181883,0.0013955482,0.00063992577,0.00026982033,0.000045577268,0.000063670464,0.00027382775,0.0000017626938],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056742265,0.000031437183,0.000001818433,0.96672034,0.0009588277,0.00000947511,0.00024465224,1.3193748e-7,0.0000108466575,0.00016805013,0.001977285,0.029871462],"study_design_scores_gemma":[0.0006732247,0.0001189669,0.000009018915,0.86842376,0.101314634,0.00007928561,0.00022149809,0.000023294806,0.00002480178,0.00009034929,0.028785244,0.00023590165],"about_ca_topic_score_codex":3.6495462e-7,"about_ca_topic_score_gemma":4.1480573e-7,"teacher_disagreement_score":0.10035581,"about_ca_system_score_codex":0.000099076235,"about_ca_system_score_gemma":0.00080034573,"threshold_uncertainty_score":0.9999934},"labels":[],"label_agreement":null},{"id":"W4200572929","doi":"10.37482/2687-1491-z082","title":"Circadian Rhythm Factor in Relation to the Analysis And Interpretation of Infrared Thermography Results in the Arctic (Review)","year":2021,"lang":"en","type":"article","venue":"Journal of Medical and Biological Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thermography; Circadian rhythm; Infrared; Arctic; Rhythm; Chronobiology; Medicine; Environmental science; Physiology; Psychology; Biology; Internal medicine; Physics; Optics; Ecology","score_opus":0.06847999885995185,"score_gpt":0.3920870299484003,"score_spread":0.32360703108844846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200572929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93139553,0.017109374,0.000084825995,0.050865836,0.000030090781,0.00025966144,0.000004945079,0.0000013155352,0.0002484084],"genre_scores_gemma":[0.9639554,0.034012184,0.00009560763,0.0018236928,0.00008790189,0.000006981216,0.000007347019,0.0000022917386,0.000008600149],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9962983,0.0013272745,0.0007261839,0.00015533471,0.0012910238,0.00020187306],"domain_scores_gemma":[0.9968119,0.0023135953,0.00013452995,0.00017255575,0.00037568848,0.00019171902],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009692538,0.00007742665,0.00043152826,0.0006017264,0.000037674614,0.000010349709,0.00019185939,0.00015645659,0.0001241101],"category_scores_gemma":[0.015580879,0.00003100013,0.00012858553,0.0028316642,0.0003578764,0.000032506006,0.00006884613,0.001222968,5.594017e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002610189,0.0005889793,0.477123,0.0006519385,0.0006199314,0.0017146311,0.008353259,0.000004333381,0.0020110959,0.00040696238,0.0011134922,0.50480217],"study_design_scores_gemma":[0.000940525,0.0007753506,0.993155,0.0019037233,0.00006582953,0.00022178794,0.0011246869,0.00018441491,0.00003245373,0.0007769069,0.0007840793,0.000035267243],"about_ca_topic_score_codex":0.000045832643,"about_ca_topic_score_gemma":0.00006794882,"teacher_disagreement_score":0.516032,"about_ca_system_score_codex":0.000023646737,"about_ca_system_score_gemma":0.000118233766,"threshold_uncertainty_score":0.9927113},"labels":[],"label_agreement":null},{"id":"W4205654793","doi":"10.1249/00005768-200505001-02150","title":"Efficacy of Limb Cooling","year":2005,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Medicine; Physical medicine and rehabilitation","score_opus":0.014315051569757549,"score_gpt":0.29373508122092445,"score_spread":0.2794200296511669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205654793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98444545,0.0005292614,0.000047170073,0.0017395568,0.0005789594,0.0007747854,9.781518e-7,0.00008792243,0.011795933],"genre_scores_gemma":[0.99559313,0.0004997589,0.0021054072,0.0007346191,0.0005705493,0.000021266069,0.000007445629,0.000028533688,0.00043927974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956741,0.000018877668,0.0010312895,0.00059956795,0.0019463457,0.00072984514],"domain_scores_gemma":[0.99790996,0.00012543461,0.00028830874,0.0008911098,0.0003516522,0.0004335105],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028012395,0.00028570264,0.0009216741,0.0015564729,0.00011251853,0.0000065563163,0.00049310765,0.000102419384,0.0011213564],"category_scores_gemma":[0.00087196764,0.00021196294,0.000108177606,0.003277483,0.002876659,0.00026957388,0.00008272542,0.00045794743,0.000019744015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009042136,0.00059257646,0.7069607,0.00013946988,0.0000016850965,0.00039248547,0.0060555213,0.00014150274,0.011725637,0.000057058638,0.0011321919,0.271897],"study_design_scores_gemma":[0.003733903,0.00047080798,0.9871509,0.0026844149,0.0001317648,0.00013031713,0.0010669141,0.0004742145,0.0012397498,0.00009423122,0.0026168858,0.00020587158],"about_ca_topic_score_codex":0.000107262014,"about_ca_topic_score_gemma":0.000006315527,"teacher_disagreement_score":0.28019026,"about_ca_system_score_codex":0.00014624663,"about_ca_system_score_gemma":0.0003913089,"threshold_uncertainty_score":0.9998369},"labels":[],"label_agreement":null},{"id":"W4205666211","doi":"10.9734/jammr/2021/v33i2331204","title":"Effects of Structured Exercise Program on Tenderness and Cyclic Mastalgia in Obese Women: An Experimental Study","year":2021,"lang":"en","type":"article","venue":"Journal of Advances in Medicine and Medical Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast pain; Breast cancer; Physical therapy; Inclusion and exclusion criteria; Quality of life (healthcare); Intervention (counseling); Menstruation; Gynecology; Alternative medicine; Cancer; Internal medicine","score_opus":0.02859960739846902,"score_gpt":0.4554954285842003,"score_spread":0.4268958211857313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205666211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95645803,0.041357882,0.000004559004,0.0007868958,0.00022649835,0.00085899985,5.444738e-7,0.0000067840106,0.000299811],"genre_scores_gemma":[0.9831791,0.015844876,0.00036012274,0.00018826063,0.00031212965,0.00006378488,0.000002062943,0.000021961248,0.000027738633],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9945184,0.0006115229,0.00093530904,0.000349768,0.003038058,0.00054697035],"domain_scores_gemma":[0.99722475,0.0010740765,0.00017962682,0.00025723854,0.00040605888,0.0008582557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004317967,0.00021082193,0.0011276611,0.001161372,0.000047441063,0.000008921304,0.00020922729,0.00016245595,0.00016569353],"category_scores_gemma":[0.0049735745,0.00013589162,0.00004294004,0.0011295795,0.0011227962,0.00021052144,0.00011255064,0.0017283449,1.9918245e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009213291,0.01639133,0.09719191,0.003225337,0.00015246416,0.028530346,0.042204447,0.000003710463,0.04398659,0.0001982054,0.00014137941,0.758761],"study_design_scores_gemma":[0.07006548,0.10562344,0.48050874,0.029836295,0.00016559413,0.0022583392,0.26772633,0.00015261157,0.03767405,0.0035285186,0.0020179965,0.00044259615],"about_ca_topic_score_codex":0.000022327487,"about_ca_topic_score_gemma":0.000028126864,"teacher_disagreement_score":0.7583184,"about_ca_system_score_codex":0.0001287938,"about_ca_system_score_gemma":0.00036828444,"threshold_uncertainty_score":0.7508895},"labels":[],"label_agreement":null},{"id":"W4205928713","doi":"10.18280/ts.380613","title":"Deep Multi-View Breast Cancer Detection: A Multi-View Concatenated Infrared Thermal Images Based Breast Cancer Detection System Using Deep Transfer Learning","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transfer of learning; Deep learning; Artificial intelligence; Breast cancer; Computer science; Pattern recognition (psychology); Computer vision; Machine learning; Cancer; Medicine","score_opus":0.020219644046368102,"score_gpt":0.26992589162553343,"score_spread":0.24970624757916532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205928713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6604485,0.010799384,0.3231567,0.00066068565,0.0011989984,0.002451778,0.0002705975,0.0008663886,0.00014697737],"genre_scores_gemma":[0.9955845,0.00030765298,0.0016117573,0.0008252618,0.00079478323,0.0005258952,0.000087694316,0.0001692319,0.000093256465],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955298,0.00064608327,0.0011005662,0.00090104283,0.00089952693,0.0009230276],"domain_scores_gemma":[0.9977496,0.00010443415,0.00026702252,0.00040083073,0.0010414682,0.000436639],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006495766,0.0007319534,0.0010664312,0.00040159043,0.0005608662,0.0000959987,0.00020465546,0.0003315061,0.00409073],"category_scores_gemma":[0.000026589576,0.0006474909,0.000473205,0.0012837496,0.0002478904,0.00031455173,0.000039057853,0.0009637944,0.000018223089],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012327898,0.00057333277,0.013623565,0.0023743492,0.0011664145,0.0005447152,0.0011338682,0.01837141,0.8060157,0.0000028204604,0.000005854296,0.15495521],"study_design_scores_gemma":[0.023792462,0.0004086104,0.21642414,0.0059818956,0.0030900757,0.0024773434,0.002573084,0.5547447,0.188764,9.5190256e-7,0.00047992583,0.0012627906],"about_ca_topic_score_codex":0.0009347136,"about_ca_topic_score_gemma":0.00047961055,"teacher_disagreement_score":0.6172517,"about_ca_system_score_codex":0.0009480636,"about_ca_system_score_gemma":0.00042498854,"threshold_uncertainty_score":0.9995976},"labels":[],"label_agreement":null},{"id":"W4207065634","doi":"10.2139/ssrn.3993070","title":"A Numerical Hand-Glove/Mitten Model for Predicting Thermophysiological Responses of the Human Hand in Various Cold Environments","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Simulation; Environmental science; Psychology","score_opus":0.014610664387222156,"score_gpt":0.26675962356517946,"score_spread":0.2521489591779573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207065634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872408,0.0015356776,0.009800426,0.00075671135,0.000083238054,0.00040061318,0.0000092355485,0.000009087328,0.00016421723],"genre_scores_gemma":[0.9975353,0.00033001835,0.0002932618,0.00037619032,0.00019630621,0.000028217231,0.000005925273,0.000031875883,0.0012029066],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972952,0.00022727672,0.0005109702,0.0002610183,0.00042705174,0.0012784828],"domain_scores_gemma":[0.99910057,0.00018247613,0.00024077734,0.00031973523,0.00007023587,0.00008618805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012088432,0.0001905467,0.00044957147,0.0001030582,0.0002899829,0.00001752307,0.00023097328,0.00015327989,0.000027415746],"category_scores_gemma":[0.0004129756,0.00012295519,0.00024576456,0.00025986024,0.00027411417,0.00004817508,0.00005821921,0.0016861489,9.002665e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001163196,0.0005364778,0.03706931,0.000037118785,0.00046384658,0.000037366404,0.0009753451,0.0006909112,0.9516561,0.00615611,0.00004315277,0.0011710535],"study_design_scores_gemma":[0.033011988,0.009137084,0.40427816,0.001638266,0.0014599327,0.0042382856,0.004459054,0.045114473,0.14463986,0.3503584,0.0006174103,0.0010470772],"about_ca_topic_score_codex":0.000018350169,"about_ca_topic_score_gemma":0.000031374537,"teacher_disagreement_score":0.80701625,"about_ca_system_score_codex":0.00044036176,"about_ca_system_score_gemma":0.001239897,"threshold_uncertainty_score":0.7325572},"labels":[],"label_agreement":null},{"id":"W4210524451","doi":"10.1007/s00500-021-06668-3","title":"RETRACTED ARTICLE: Fat-based studies for computer-assisted screening of child obesity using thermal imaging based on deep learning techniques: a comparison with quantum machine learning approach","year":2022,"lang":"en","type":"article","venue":"Soft Computing","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":20,"is_retracted":true,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Overweight; Convolutional neural network; Artificial intelligence; Deep learning; Computational intelligence; Categorization; Skin temperature; Abdomen; Computer science; Mathematics; Pattern recognition (psychology); Obesity; Medicine; Biomedical engineering; Internal medicine; Surgery","score_opus":0.02807055252914485,"score_gpt":0.29465566212917094,"score_spread":0.26658510960002607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210524451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48521644,0.00042847832,0.51261014,0.00015493097,0.000084541694,0.00088498864,0.00000508832,0.0004893875,0.00012601563],"genre_scores_gemma":[0.79056317,5.5249865e-7,0.20837453,0.00052556896,0.00025821826,0.000032877055,0.00014128916,0.000101719364,0.0000020777927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960639,0.0006433836,0.0008984232,0.0007003279,0.0009785575,0.00071539223],"domain_scores_gemma":[0.997037,0.0010112205,0.0009638682,0.0004067042,0.0004406206,0.00014061655],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0018419606,0.00048107503,0.0011425442,0.0006786436,0.0016283223,0.000034645305,0.00026585907,0.00010129266,0.00001721365],"category_scores_gemma":[0.0003866182,0.00043399152,0.00026912434,0.0012246543,0.00028344608,0.00007280981,0.00018362276,0.0023353577,2.2503751e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017930154,0.00088674563,0.30145,0.0006836224,0.0003321164,0.00005222003,0.0019157717,0.64836997,0.010138637,0.000029241937,0.0000105224835,0.034338135],"study_design_scores_gemma":[0.004380393,0.0023131645,0.022907589,0.0015415878,0.00036156643,0.00008010512,0.002850364,0.9612662,0.0038100854,0.000003888418,0.00007469156,0.00041032577],"about_ca_topic_score_codex":0.000056331097,"about_ca_topic_score_gemma":0.0000010037971,"teacher_disagreement_score":0.31289628,"about_ca_system_score_codex":0.00023774114,"about_ca_system_score_gemma":0.0000894604,"threshold_uncertainty_score":0.9999663},"labels":[],"label_agreement":null},{"id":"W4210566066","doi":"10.1002/ccd.30115","title":"Infrared thermography as an adjunctive tool for detection of femoral arterial thrombosis after cardiac catheterization: A prospective, pilot study","year":2022,"lang":"en","type":"article","venue":"Catheterization and Cardiovascular Interventions","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Thermography; Cardiac catheterization; Thrombus; Receiver operating characteristic; Radiology; Thrombosis; Prospective cohort study; Cardiology; Surgery; Internal medicine; Nuclear medicine; Infrared","score_opus":0.024443587358622957,"score_gpt":0.28072924784448494,"score_spread":0.256285660485862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210566066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724547,0.00047351417,0.021663105,0.000017361177,0.00077165244,0.0039036137,0.00043235917,0.00011356767,0.00017012448],"genre_scores_gemma":[0.9947402,0.000034021406,0.0002509996,0.000067787536,0.00020081825,0.0040202946,0.0005278037,0.00006779027,0.00009026904],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975913,0.0004898886,0.00058055256,0.00056502846,0.0005412545,0.00023195831],"domain_scores_gemma":[0.9985712,0.000025008138,0.00018616416,0.00072404486,0.0003888165,0.00010476136],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007196385,0.00027227006,0.0007003379,0.0004869978,0.00037110955,0.00004377623,0.00012479938,0.00005524065,0.00021367629],"category_scores_gemma":[0.0000684649,0.00027078958,0.0014512968,0.00070065306,0.00016854133,0.00021744893,0.000102733095,0.00018416901,0.0000011936388],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.023693098,0.02813888,0.39733818,0.0028831733,0.046933886,0.00008051506,0.048984468,0.00037825116,0.40939152,0.0018461529,0.0001422046,0.04018966],"study_design_scores_gemma":[0.0114363255,0.04089956,0.92536753,0.0002274082,0.0062837717,0.00006410482,0.007611189,0.00018362301,0.0051535135,0.001293998,0.0007882046,0.0006907557],"about_ca_topic_score_codex":0.000026287858,"about_ca_topic_score_gemma":0.0000015803893,"teacher_disagreement_score":0.5280294,"about_ca_system_score_codex":0.00007466262,"about_ca_system_score_gemma":0.00005089215,"threshold_uncertainty_score":0.9999744},"labels":[],"label_agreement":null},{"id":"W4213435156","doi":"10.1109/tbme.2022.3153209","title":"Comparison of Long-Wave and Mid-Wave Infrared Imaging Modalities for Photothermal Coherence Tomography of Human Teeth","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Xanadu Quantum Technologies (Canada); University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optical coherence tomography; Enamel paint; Tomographic reconstruction; Infrared; Near-infrared spectroscopy; Photothermal therapy; Visualization; Tomography","score_opus":0.02570499126978998,"score_gpt":0.2832927135122582,"score_spread":0.25758772224246823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213435156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70516706,0.00045237754,0.29250488,0.00013331803,0.0004887535,0.00071282353,0.00027397956,0.000117477306,0.00014935592],"genre_scores_gemma":[0.9966824,0.000012509063,0.0028731741,0.00006971041,0.000050805644,0.00017961078,0.000030317544,0.000042582615,0.000058908903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982763,0.000031215794,0.00058825215,0.00025255658,0.00055223354,0.00029943386],"domain_scores_gemma":[0.99911445,0.00022341471,0.0001336615,0.00026481814,0.00008617807,0.00017746876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002932538,0.0002148059,0.00057402963,0.00077747554,0.00013845717,0.0000052999803,0.000096450145,0.00007815975,0.00024952594],"category_scores_gemma":[0.000016121434,0.00021430489,0.00020828146,0.0005967294,0.00037786484,0.00005011814,0.000004961355,0.00045275982,1.250113e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082058983,0.0014798798,0.0021816392,0.0021073327,0.0007858619,0.00006591441,0.005882622,0.0052778865,0.9576074,0.00014198123,0.00021531724,0.023433609],"study_design_scores_gemma":[0.010047983,0.00505181,0.008303844,0.0011988761,0.0007728379,0.00029975534,0.0044042,0.11107538,0.8570795,0.00022738414,0.00079614244,0.0007423016],"about_ca_topic_score_codex":0.00004344248,"about_ca_topic_score_gemma":0.0000011038661,"teacher_disagreement_score":0.29151532,"about_ca_system_score_codex":0.000050821323,"about_ca_system_score_gemma":0.0000517755,"threshold_uncertainty_score":0.87391},"labels":[],"label_agreement":null},{"id":"W4214899086","doi":"10.1117/12.2608929","title":"Studying the accuracy of infrared thermography for measuring core body temperature","year":2022,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Thermography; Infrared; Core (optical fiber); Temperature measurement; Materials science; Remote sensing; Optics; Environmental science; Physics; Geology; Composite material","score_opus":0.04610006973993213,"score_gpt":0.29104559189896967,"score_spread":0.24494552215903753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214899086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835498,0.001220874,0.0001013512,0.001190922,0.00047057445,0.002394668,0.000056776167,0.00013934298,0.010875733],"genre_scores_gemma":[0.9959044,0.000025333866,0.0006759571,0.0019580175,0.00022388605,0.00046743968,0.000037023565,0.00004644475,0.00066148856],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99818593,0.000086784414,0.00043009518,0.00026546285,0.0007102391,0.00032145678],"domain_scores_gemma":[0.9981916,0.00058635627,0.00020498788,0.00068526756,0.00025230038,0.00007949147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009860544,0.0002016819,0.00040211328,0.00029166052,0.00048717827,0.000011747894,0.0003693569,0.000058079026,0.0006314956],"category_scores_gemma":[0.00043039862,0.00012405582,0.0003393197,0.00093617616,0.00015196852,0.00005743768,0.00014182471,0.0005365025,7.3374275e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030030964,0.0010306436,0.09290304,0.00067180465,0.0021249566,0.00005957386,0.012661577,0.000109001296,0.8203984,0.0076405397,0.04699443,0.012402959],"study_design_scores_gemma":[0.043329846,0.011934956,0.5081492,0.0010434939,0.003497504,0.00084132294,0.11538151,0.0013609586,0.14930756,0.015443008,0.1476595,0.002051113],"about_ca_topic_score_codex":0.000023235465,"about_ca_topic_score_gemma":0.0000014001854,"teacher_disagreement_score":0.6710908,"about_ca_system_score_codex":0.000039072904,"about_ca_system_score_gemma":0.000110399356,"threshold_uncertainty_score":0.69144344},"labels":[],"label_agreement":null},{"id":"W4214949202","doi":"10.3389/fphys.2022.838528","title":"Infrared Thermography in Wound Care, Surgery, and Sports Medicine: A Review","year":2022,"lang":"en","type":"review","venue":"Frontiers in Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Toronto Metropolitan University; McGill University","funders":"","keywords":"Thermography; Medicine; Medical physics; Modalities; Sports medicine; Skin temperature; Radiology; Biomedical engineering; Infrared; Pathology; Optics","score_opus":0.02435543621452157,"score_gpt":0.30300625868699543,"score_spread":0.27865082247247386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214949202","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000923974,0.98904157,0.0000028702304,0.00011402237,0.002407033,0.0030704415,0.000036520298,0.00006978803,0.005165375],"genre_scores_gemma":[0.000018691877,0.99509823,0.00028341607,0.0017464516,0.00036874888,0.0009691716,0.0012359949,0.00014220184,0.00013708783],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946001,0.000924695,0.0019169998,0.0011572277,0.0005806099,0.00082037767],"domain_scores_gemma":[0.9971699,0.00059969776,0.0007688855,0.0011777729,0.00006250187,0.00022120471],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012270847,0.0009089564,0.0076890374,0.0032096165,0.00007297697,0.0000041522976,0.00039924763,0.0006147275,0.0009764927],"category_scores_gemma":[0.00048497057,0.0007127291,0.0007719356,0.003214489,0.0008705746,0.00006598669,0.00019776789,0.002080207,0.0000022822296],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090823014,0.000092072994,0.0021263736,0.11129521,0.0002927887,0.0006095613,0.0004876396,7.2918304e-8,8.209705e-7,0.00002155126,0.052711956,0.83227116],"study_design_scores_gemma":[0.00083281635,0.00020214256,0.002570837,0.098926164,0.001187417,0.00021450497,0.00043166804,4.4665518e-7,7.119441e-8,0.0009360188,0.89420134,0.0004965923],"about_ca_topic_score_codex":0.000046340243,"about_ca_topic_score_gemma":0.0000028079328,"teacher_disagreement_score":0.8414894,"about_ca_system_score_codex":0.00033204086,"about_ca_system_score_gemma":0.0005334586,"threshold_uncertainty_score":0.99993676},"labels":[],"label_agreement":null},{"id":"W4221118660","doi":"10.18280/ts.390137","title":"Acupoint Selection for Autonomous Massage Based on Infrared Thermography","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thermography; Massage; Thresholding; Medicine; Biomedical engineering; Computer science; Artificial intelligence; Infrared; Pathology; Image (mathematics)","score_opus":0.0136354745155705,"score_gpt":0.24631431050560626,"score_spread":0.23267883599003575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221118660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8867471,0.00024112684,0.056950454,0.0068481434,0.0013090745,0.008791505,0.00056369376,0.0012814576,0.037267413],"genre_scores_gemma":[0.98843014,0.0000020931484,0.0027923926,0.006216368,0.0003920073,0.001329089,0.0003203853,0.000068570575,0.00044893858],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977826,0.00013043896,0.0004386049,0.0004257274,0.0007627634,0.00045986238],"domain_scores_gemma":[0.99911356,0.00017252061,0.00016086125,0.0002838933,0.00010653976,0.00016265259],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008131721,0.00028409454,0.00036504798,0.00064809626,0.00041817367,0.000019289031,0.00017473755,0.00006801413,0.0061800014],"category_scores_gemma":[0.000028594657,0.00025685417,0.0003798556,0.0006728745,0.00007771833,0.000048692615,0.000029862631,0.0004130342,0.00000718921],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04087035,0.013568768,0.09797188,0.0014878113,0.0035490629,0.0004287401,0.0072422265,0.03449914,0.45220825,0.0132709015,0.20101057,0.1338923],"study_design_scores_gemma":[0.06494511,0.060016304,0.16294171,0.00047946293,0.0022101724,0.00027522852,0.0025078591,0.29526004,0.04426434,0.005640003,0.35904622,0.002413556],"about_ca_topic_score_codex":0.0000100048155,"about_ca_topic_score_gemma":0.0000010309622,"teacher_disagreement_score":0.4079439,"about_ca_system_score_codex":0.00024906526,"about_ca_system_score_gemma":0.00016117671,"threshold_uncertainty_score":0.9999884},"labels":[],"label_agreement":null},{"id":"W4221122241","doi":"10.5281/zenodo.5923517","title":"The Effectiveness of Ultrasound (US) Intervention and Static Bicycle Exercise to Improve Functional Ability in Genu Osteoarthritis","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Osteoarthritis; Physical therapy; Physical medicine and rehabilitation; Medicine; Intervention (counseling); Ultrasound; Psychology; Alternative medicine; Radiology; Pathology","score_opus":0.01077763379917427,"score_gpt":0.2394835516434138,"score_spread":0.22870591784423955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221122241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99545133,0.00021948114,0.00034939172,0.00016958422,0.00011866575,0.001085189,0.00013276454,0.000078833466,0.002394782],"genre_scores_gemma":[0.9992569,0.000033716005,0.000045872017,0.000040961102,0.000026236463,0.0000010110191,0.00029391205,0.00023135997,0.000070049435],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982038,0.000723774,0.0002546621,0.00025316756,0.00037090175,0.00019365372],"domain_scores_gemma":[0.99912876,0.00018176944,0.000064724365,0.00029541875,0.00023442118,0.00009491472],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025596872,0.0000833751,0.00015745057,0.00021988983,0.0008273783,0.000060353246,0.00020493133,0.000021744547,0.002321255],"category_scores_gemma":[0.0009846939,0.000075399475,0.000046512392,0.0006030302,0.00019231785,0.000067607114,0.0004383971,0.0002585436,0.0000563581],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010540863,0.0012420219,0.004868197,0.0015514464,0.00016830105,0.000056057524,0.0045402576,0.00047923645,0.37830928,0.002345455,0.008111912,0.587787],"study_design_scores_gemma":[0.008192576,0.0059787584,0.8590372,0.0005454403,0.0000925417,0.00040053742,0.004130091,0.00025203713,0.007209579,0.0019129808,0.11195142,0.00029684347],"about_ca_topic_score_codex":0.000039745468,"about_ca_topic_score_gemma":5.1240886e-7,"teacher_disagreement_score":0.854169,"about_ca_system_score_codex":0.00015378343,"about_ca_system_score_gemma":0.000004865867,"threshold_uncertainty_score":0.99859077},"labels":[],"label_agreement":null},{"id":"W4225009001","doi":"10.1089/jicm.2021.0437","title":"Skin Temperature of Acupoints in Health and Disease: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"Journal of Integrative and Complementary Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Center for Complementary and Integrative Health","keywords":"Checklist; Acupuncture; Systematic review; Medicine; MEDLINE; Medical physics; Skin temperature; Quality (philosophy); Physical therapy; Alternative medicine; Pathology; Psychology; Dermatology; Cognitive psychology","score_opus":0.04723378585625018,"score_gpt":0.39328087190078026,"score_spread":0.34604708604453005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225009001","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000041104966,0.99331653,0.0000062032746,0.0034413259,0.00018790145,0.0028140866,0.00010256584,0.0000041338403,0.000086153486],"genre_scores_gemma":[0.000032880453,0.9944817,0.00016951784,0.0046713697,0.00020067999,0.000073070754,0.00026990252,0.000034428394,0.000066440334],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9937821,0.0011532363,0.0036227684,0.0002802678,0.000906451,0.00025515625],"domain_scores_gemma":[0.995105,0.0007383776,0.002971079,0.00034989667,0.00021848985,0.00061713025],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002955146,0.0005572416,0.0077846977,0.0010414197,0.00006408166,0.0000042682327,0.0002436919,0.00006495005,0.001040787],"category_scores_gemma":[0.0013672878,0.00027446434,0.00043183417,0.00080561085,0.00031766528,0.00007253773,0.000093849594,0.0014658258,2.8088527e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013829935,0.00013598854,0.000061221086,0.95196515,0.00105454,0.00038803258,0.0013294977,7.961081e-9,0.0000010176675,0.00015573844,0.011331842,0.033438656],"study_design_scores_gemma":[0.0015400721,0.0031077086,0.000026890306,0.8174721,0.004183826,0.0017707366,0.004381459,6.143441e-7,1.6396879e-7,0.00009731321,0.16727991,0.00013921723],"about_ca_topic_score_codex":0.000047804922,"about_ca_topic_score_gemma":0.000009024487,"teacher_disagreement_score":0.15594807,"about_ca_system_score_codex":0.0002501796,"about_ca_system_score_gemma":0.0009174987,"threshold_uncertainty_score":0.99997073},"labels":[],"label_agreement":null},{"id":"W4225388284","doi":"10.1096/fasebj.2022.36.s1.r6155","title":"Cutaneous Microvascular Responses to Local Heating on Ventral and Dorsal Aspects of the Forearm","year":2022,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institutes of Health","keywords":"Dorsum; Forearm; Anatomy; Medicine","score_opus":0.010116565961606247,"score_gpt":0.2449379870968298,"score_spread":0.23482142113522353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225388284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99475724,0.000634753,0.00010127886,0.00307581,0.00032865666,0.00028937665,0.0000099200015,0.000011207255,0.0007917406],"genre_scores_gemma":[0.99774325,0.000013729436,0.00009200286,0.0017923734,0.00020622663,0.0000054763714,0.0000010434085,0.000019127436,0.00012675712],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850357,0.00028835703,0.00024486735,0.00009823029,0.00061286986,0.00025212514],"domain_scores_gemma":[0.99922866,0.00019912387,0.000112083166,0.00030332277,0.000051801722,0.000105029096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000857038,0.00011127681,0.00020879143,0.000122003556,0.00049288577,0.000012154492,0.00021886204,0.000023775694,0.00016053583],"category_scores_gemma":[0.00018453556,0.0000598104,0.000140369,0.00027620455,0.00020405995,0.00001409031,0.00011170726,0.0007596524,0.0000017994654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009277012,0.00044864073,0.036342185,0.000095418174,0.0010052143,0.0027420279,0.017253958,0.0031063498,0.8839168,0.0022448306,0.0024453609,0.04112223],"study_design_scores_gemma":[0.008182838,0.01274697,0.14305395,0.0013016062,0.0012271404,0.1720126,0.02346964,0.0005705454,0.6258196,0.0058413125,0.005245066,0.0005286927],"about_ca_topic_score_codex":0.000025238432,"about_ca_topic_score_gemma":0.0000013497952,"teacher_disagreement_score":0.25809714,"about_ca_system_score_codex":0.00009855878,"about_ca_system_score_gemma":0.00011373474,"threshold_uncertainty_score":0.37909284},"labels":[],"label_agreement":null},{"id":"W4226147130","doi":"","title":"Optical thermography infrastructure to assess thermal distribution in critically ill children","year":2021,"lang":"en","type":"article","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Thermography; Critically ill; Interquartile range; Infrared; Skin temperature; Medicine; Pediatric intensive care unit; Intensive care unit; Intensive care; Materials science; Biomedical engineering; Surgery; Internal medicine; Pediatrics; Intensive care medicine; Optics; Physics","score_opus":0.01143440712318597,"score_gpt":0.277637873591661,"score_spread":0.266203466468475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226147130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9316951,0.0011490952,0.028419144,0.02828377,0.0003307414,0.0026464015,0.00034194067,0.005341474,0.0017923001],"genre_scores_gemma":[0.9678191,0.00024713395,0.022217441,0.0077827405,0.00025461367,0.0007293281,0.00045511505,0.00023830678,0.0002562492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99177593,0.0002484131,0.0013348527,0.0021439774,0.0013010534,0.0031957468],"domain_scores_gemma":[0.99346244,0.0004909573,0.00027482407,0.0033933993,0.0016094618,0.00076889264],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0012487049,0.0013640814,0.0018133542,0.0017317726,0.00035620446,0.00019344427,0.00203814,0.003467295,0.00029763818],"category_scores_gemma":[0.013828938,0.001295734,0.00068771973,0.0074740774,0.0016709578,0.00031333067,0.001264714,0.005132017,0.00007510987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009196664,0.0014596755,0.7659436,0.00024532955,0.0005180696,0.007022222,0.00045789013,0.0027832626,0.18422267,0.010077006,0.007856604,0.018494012],"study_design_scores_gemma":[0.004457975,0.0018546976,0.8250849,0.0007452383,0.00042797005,0.0025176974,0.006763573,0.0010581191,0.14530931,0.0042893225,0.005757538,0.0017336034],"about_ca_topic_score_codex":0.000063283085,"about_ca_topic_score_gemma":0.00015745618,"teacher_disagreement_score":0.05914136,"about_ca_system_score_codex":0.00092781533,"about_ca_system_score_gemma":0.0013062966,"threshold_uncertainty_score":0.999911},"labels":[],"label_agreement":null},{"id":"W4229531353","doi":"10.1249/00005768-200405001-00135","title":"Exercise Capacity, Left Ventricular Diastolic Function and Arterial Compliance in Older Hypertensives with Osteoarthritis","year":2004,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Blood pressure; Celecoxib; Cardiology; Internal medicine; Isovolumic relaxation time; Diastole; Ambulatory blood pressure; Doppler echocardiography","score_opus":0.013881718154368186,"score_gpt":0.2396167318855057,"score_spread":0.22573501373113752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229531353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946937,0.0010588353,0.00007954689,0.0013030842,0.00080182403,0.0015077037,0.000002567368,0.00007775203,0.0004749684],"genre_scores_gemma":[0.9976447,0.00068952347,0.000603592,0.00065876456,0.00023649652,0.00007584979,0.000014678127,0.000035993613,0.00004040359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99611664,0.000023940103,0.0006818623,0.0009012798,0.0014359358,0.00084036397],"domain_scores_gemma":[0.9984089,0.00003438179,0.00019079105,0.00062596786,0.00028881818,0.0004511151],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00097517297,0.0004119847,0.0010405198,0.0012919856,0.0001832913,0.000027298043,0.00024281908,0.0001271269,0.0001892057],"category_scores_gemma":[0.00014409747,0.00030553222,0.00005127384,0.0021444994,0.0030870847,0.00047549995,0.000067470486,0.0005016443,0.000007971879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011335526,0.0005186213,0.8963363,0.0002547747,0.0000020210396,0.0050593074,0.007032495,0.00007645371,0.005823319,0.000028798264,0.00007697972,0.08365734],"study_design_scores_gemma":[0.010774307,0.0008703798,0.9715863,0.011631943,0.00013849029,0.001291163,0.0023459694,0.000036424695,0.00021423775,0.00070000894,0.00009018096,0.0003206134],"about_ca_topic_score_codex":0.0005221351,"about_ca_topic_score_gemma":0.00010954282,"teacher_disagreement_score":0.083336726,"about_ca_system_score_codex":0.00017983699,"about_ca_system_score_gemma":0.00025986534,"threshold_uncertainty_score":0.9999397},"labels":[],"label_agreement":null},{"id":"W4233378696","doi":"10.21611/qirt.2010.085","title":"Quantitative analysis of dental tissue properties using photothermal radiometry","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 International Conference on Quantitative InfraRed Thermography","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Xanadu Quantum Technologies (Canada); University of Toronto","funders":"","keywords":"Radiometry; Photothermal therapy; Materials science; Remote sensing; Environmental science; Geology; Nanotechnology","score_opus":0.062302000765195785,"score_gpt":0.3371157686121533,"score_spread":0.27481376784695755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233378696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97592735,0.00010232097,0.000112073634,0.00029459817,0.0008563433,0.0006911483,0.00021060293,0.000046366524,0.021759206],"genre_scores_gemma":[0.9917592,0.000040768286,0.0076199644,0.00017052468,0.000063165164,0.00003426124,0.000019927518,0.000044878623,0.00024735212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971769,0.000036830785,0.0008277163,0.00045448777,0.0011858869,0.000318168],"domain_scores_gemma":[0.99601847,0.00015002626,0.0010755839,0.00032745622,0.0023034986,0.00012499373],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005898446,0.0003839833,0.00084223883,0.0027452942,0.00012358652,0.000045430937,0.00091415853,0.00020867152,0.00081654644],"category_scores_gemma":[0.0006049371,0.00026360818,0.00068398315,0.003190029,0.0015798205,0.00032337478,0.00013321823,0.00075948046,0.0000046317246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013034844,0.00032080687,0.06166118,0.00007968346,0.0035645922,0.0000015723673,0.0018822497,0.000010652362,0.80162036,0.12925342,0.000047613914,0.00025437097],"study_design_scores_gemma":[0.002063181,0.0016880358,0.29214394,0.00097622996,0.0024844368,0.000036134585,0.007536909,0.015235682,0.67243797,0.004733241,0.00013126728,0.00053298956],"about_ca_topic_score_codex":0.00013630548,"about_ca_topic_score_gemma":0.000013866196,"teacher_disagreement_score":0.23048277,"about_ca_system_score_codex":0.000040805004,"about_ca_system_score_gemma":0.000118941774,"threshold_uncertainty_score":0.99998164},"labels":[],"label_agreement":null},{"id":"W4234394845","doi":"10.21203/rs.3.rs-62392/v1","title":"Comparative Study of Histological and Histochemical Image Processing in Muscle Fibre Sections of Broiler Chicken","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Broiler; Muscle fibre; Anatomy; Biology; Food science; Skeletal muscle","score_opus":0.1182294551415118,"score_gpt":0.4405982040853871,"score_spread":0.3223687489438753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234394845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99218553,0.0018959383,0.000030965995,0.00058488344,0.000039527164,0.0022436674,0.000045207136,0.000035285604,0.0029389635],"genre_scores_gemma":[0.99843305,0.00004648097,0.0010834445,0.000013548483,0.0001109836,0.00018342622,0.000068200476,0.000023920253,0.00003693169],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9968951,0.0004637295,0.0006352173,0.0005960129,0.0010739545,0.0003360064],"domain_scores_gemma":[0.99809855,0.00025854568,0.0001974678,0.00045816222,0.0007889572,0.00019833467],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00076816155,0.00022647929,0.0011104181,0.0006746515,0.000068522575,0.000010537058,0.00023054755,0.00030090587,0.0001014792],"category_scores_gemma":[0.00072040915,0.00018981229,0.00010443863,0.00082239235,0.0009594486,0.00003946889,0.0006100944,0.0026677104,0.0000016116893],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056299036,0.012298909,0.13829435,0.03345206,0.0006242738,0.0011031034,0.2208593,0.00009795164,0.5735477,0.000115762705,0.007441104,0.0065355524],"study_design_scores_gemma":[0.0060379594,0.0063942326,0.9193523,0.006436504,0.00021774913,0.00004331597,0.052908666,0.0010042876,0.00575471,0.0012031811,0.00025620608,0.00039087134],"about_ca_topic_score_codex":0.00035237812,"about_ca_topic_score_gemma":0.000052502113,"teacher_disagreement_score":0.78105795,"about_ca_system_score_codex":0.00021703713,"about_ca_system_score_gemma":0.00042657752,"threshold_uncertainty_score":0.9996332},"labels":[],"label_agreement":null},{"id":"W4235799674","doi":"10.1016/j.jmir.2019.11.163","title":"Quantitative Thermal Imaging Using Grey-level Run Length Matrix Texture Features Correlate to Radiation-Induced Skin Toxicity","year":2019,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Hospital; Health Sciences Centre; Toronto Metropolitan University; University of Toronto; York University; Michener Institute; Sunnybrook Health Science Centre","funders":"","keywords":"Common Terminology Criteria for Adverse Events; Toxicity; Radiation; Medicine; Terminology; Medical physics; Nuclear medicine; Optics; Internal medicine; Physics","score_opus":0.023230267542735977,"score_gpt":0.35681544005058413,"score_spread":0.33358517250784814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235799674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667391,0.0054448387,0.0031829213,0.02225486,0.0017336218,0.00023461424,0.000004516962,0.000020407006,0.00038508355],"genre_scores_gemma":[0.99185735,0.00030414946,0.0039315065,0.0030781098,0.0007611484,0.0000010277403,0.0000018928375,0.000014533958,0.0000502649],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99659854,0.00017227443,0.00062080874,0.0002809031,0.0019815504,0.00034593957],"domain_scores_gemma":[0.99805653,0.00049543905,0.00051592104,0.00013720657,0.00031254764,0.0004823393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003342504,0.00019280813,0.00045148394,0.0007306148,0.00025719698,0.00012092708,0.00029697156,0.00010010755,0.0001741541],"category_scores_gemma":[0.001681487,0.00012872531,0.00012956938,0.00079267053,0.00032025654,0.000565285,0.000046561006,0.00070947525,0.000008411061],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057552475,0.00028113593,0.37553534,0.00016610275,0.00030263083,0.00041891512,0.01696346,0.0013801942,0.084226914,0.0015953364,0.007923914,0.51063055],"study_design_scores_gemma":[0.006452993,0.0010318301,0.81519926,0.0020304518,0.00033657058,0.0033178553,0.018006451,0.14724746,0.0032991655,0.00042464354,0.0020912578,0.00056208676],"about_ca_topic_score_codex":0.00006586464,"about_ca_topic_score_gemma":0.0000013608513,"teacher_disagreement_score":0.5100684,"about_ca_system_score_codex":0.00008710894,"about_ca_system_score_gemma":0.0005330201,"threshold_uncertainty_score":0.5249266},"labels":[],"label_agreement":null},{"id":"W4238892260","doi":"10.1515/iupac.79.2080","title":"Sympathetic Nervous System","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Multidisciplinary approach; Toxicology; Chemistry; Biology; Philosophy; Linguistics; Sociology; Social science","score_opus":0.010002688135569105,"score_gpt":0.3756886176183932,"score_spread":0.3656859294828241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238892260","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004041613,0.0027399317,0.00009831151,0.00094446796,0.0022156334,0.0010390222,0.99165076,0.00037777753,0.00052995636],"genre_scores_gemma":[0.00038851763,0.0007642012,0.00007985663,0.0007860732,0.0036387802,0.00005297148,0.9934971,0.00014023109,0.00065229647],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947508,0.00015242532,0.000992998,0.00081423065,0.0024407778,0.00084878807],"domain_scores_gemma":[0.9955634,0.00013757923,0.0004854142,0.0022482057,0.0010107106,0.0005547266],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000973616,0.000840652,0.0017499804,0.0007744019,0.00013771692,0.00003268653,0.00052523037,0.00085897616,0.0023351524],"category_scores_gemma":[0.00053414324,0.00055815995,0.0005453933,0.00046960587,0.0004085315,0.0000548943,0.00015580755,0.0011133604,0.000018118224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031075752,0.00026191396,0.000028978116,0.002026098,0.00047616987,0.0018905699,0.000027361373,2.386401e-7,0.00004379141,0.000035158035,0.98891735,0.00598164],"study_design_scores_gemma":[0.0032305364,0.0012022569,0.000083443985,0.008419899,0.001381859,0.0010850292,0.00013528562,0.000004638427,0.00004493201,0.00003716437,0.98381895,0.0005559779],"about_ca_topic_score_codex":0.00008847577,"about_ca_topic_score_gemma":0.000030573374,"teacher_disagreement_score":0.006393801,"about_ca_system_score_codex":0.0011366158,"about_ca_system_score_gemma":0.0012657215,"threshold_uncertainty_score":0.999687},"labels":[],"label_agreement":null},{"id":"W4240811012","doi":"10.32920/14637876.v1","title":"Parameters sensitivity assessment and heat source localization using infrared imaging techniques","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Infrared; Body surface; Biomedical engineering; Sensitivity (control systems); Materials science; Chemistry; Optics; Physics; Medicine; Mathematics; Engineering","score_opus":0.02128430122964757,"score_gpt":0.3208398231461873,"score_spread":0.2995555219165397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240811012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41801098,0.00041161122,0.57677627,0.00035306223,0.00024171938,0.0008278129,0.0000065815107,0.00038523128,0.0029867531],"genre_scores_gemma":[0.8046678,0.00018950662,0.19198097,0.0025303715,0.00017619794,0.000029209657,0.00027513894,0.00007446757,0.00007637549],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997658,0.00027563816,0.00049438025,0.0007083788,0.0005217223,0.00034189015],"domain_scores_gemma":[0.99843466,0.000119380624,0.00015043879,0.0007350084,0.00036378694,0.00019671737],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00078959815,0.0004288667,0.00080323074,0.0004279531,0.00011891847,0.00012501606,0.000061011717,0.00032597617,0.00007012835],"category_scores_gemma":[0.00012291214,0.00039828167,0.00017613015,0.00027164273,0.0002729741,0.000099429,0.00050833734,0.0009530021,3.44424e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002431748,0.0006495421,0.69872,0.0049074413,0.0015761952,0.002006188,0.004967061,0.0061316425,0.167669,0.00015903733,0.0016164073,0.11135434],"study_design_scores_gemma":[0.0023312122,0.00024674868,0.04405034,0.0112487795,0.0023467296,0.0026267802,0.006620855,0.8423902,0.0841185,0.0014928398,0.0007309249,0.0017961283],"about_ca_topic_score_codex":0.0007776438,"about_ca_topic_score_gemma":0.000007476306,"teacher_disagreement_score":0.83625853,"about_ca_system_score_codex":0.00033288516,"about_ca_system_score_gemma":0.00036780702,"threshold_uncertainty_score":0.99984694},"labels":[],"label_agreement":null},{"id":"W4240826106","doi":"10.32920/14640390","title":"Infrared thermography as an access pathway for individuals with severe motor impairments","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"","keywords":"Closing (real estate); Thermography; Infrared; Sensitivity (control systems); Medicine; Physics; Engineering; Optics","score_opus":0.021377767399815065,"score_gpt":0.3104995829632664,"score_spread":0.28912181556345135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240826106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95343846,0.0005931451,0.001306422,0.0005157785,0.00079453987,0.006941299,0.00068893464,0.0006138472,0.03510755],"genre_scores_gemma":[0.9239789,0.0002650982,0.046012044,0.009584582,0.001562248,0.0037606708,0.007560832,0.000516932,0.0067586442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951978,0.00018931569,0.00088201725,0.0015051465,0.0013190699,0.00090668397],"domain_scores_gemma":[0.9952904,0.00017864075,0.0005625192,0.0023088325,0.0009371918,0.00072242547],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007304955,0.0010094368,0.0015709129,0.0010147928,0.00018659627,0.0003496723,0.0010513084,0.0009737846,0.0022679432],"category_scores_gemma":[0.00016061674,0.00073557365,0.0007252759,0.00076340867,0.00028154333,0.00039493473,0.00074147526,0.0013270939,0.0000075741655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009826959,0.007775243,0.8586111,0.011628572,0.022739694,0.002897473,0.017655501,0.000115828036,0.006219094,0.0013231859,0.016085405,0.04512195],"study_design_scores_gemma":[0.06481905,0.031124387,0.7367087,0.018542826,0.009241997,0.003658957,0.017629465,0.0005344638,0.029410362,0.04898873,0.030634,0.008707058],"about_ca_topic_score_codex":0.00014532566,"about_ca_topic_score_gemma":0.000017477883,"teacher_disagreement_score":0.1219024,"about_ca_system_score_codex":0.00011985633,"about_ca_system_score_gemma":0.0013124677,"threshold_uncertainty_score":0.9995095},"labels":[],"label_agreement":null},{"id":"W4241261477","doi":"10.32920/ryerson.14665473.v1","title":"Development of methodology for detection of abnormal functioning region in human external organs using thermogram analysis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Purdue University","keywords":"Thermography; Feature (linguistics); Thermal; Computer science; Process (computing); Bioheat transfer; Projection (relational algebra); Artificial intelligence; Thermal state; Temperature gradient; Pattern recognition (psychology); Infrared; Algorithm; Optics; Physics","score_opus":0.12302824305953787,"score_gpt":0.3702962249591217,"score_spread":0.24726798189958382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241261477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53366333,0.00014952381,0.46554303,0.000007104851,0.00016980067,0.00035613403,0.0000012434389,0.000017932218,0.000091917274],"genre_scores_gemma":[0.7245507,0.0000115947205,0.27514982,0.000024641275,0.00009187147,0.000041405085,0.000075328986,0.00002527094,0.00002930353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99745625,0.0002413537,0.0012508733,0.00045418364,0.00033625297,0.0002610774],"domain_scores_gemma":[0.99799824,0.00015774214,0.00076554925,0.00048247928,0.0005332008,0.000062775944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015526661,0.0002632576,0.0012860161,0.0017987363,0.00006688687,0.000007289959,0.00012944282,0.00044852978,0.00013981696],"category_scores_gemma":[0.00018761409,0.00024128455,0.00049435574,0.0011000028,0.00011799325,0.000036153728,0.00015197697,0.00051660073,5.3973142e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043878893,0.00019856973,0.06982525,0.0010508253,0.0027970336,0.000016274396,0.00456334,0.001967529,0.8965568,0.000046579127,5.6897306e-7,0.022538474],"study_design_scores_gemma":[0.0020629363,0.00028348863,0.32067207,0.0013348061,0.0044325287,0.00006555534,0.0041001765,0.0041495757,0.66232574,0.00026160324,0.000009173234,0.00030235935],"about_ca_topic_score_codex":0.0009723569,"about_ca_topic_score_gemma":0.00058862666,"teacher_disagreement_score":0.25084683,"about_ca_system_score_codex":0.00019011709,"about_ca_system_score_gemma":0.00029583692,"threshold_uncertainty_score":0.9839299},"labels":[],"label_agreement":null},{"id":"W4241946043","doi":"10.32920/14637876","title":"Parameters sensitivity assessment and heat source localization using infrared imaging techniques","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Infrared; Body surface; Sensitivity (control systems); Biomedical engineering; Materials science; Chemistry; Optics; Physics; Medicine; Mathematics; Engineering","score_opus":0.02128430122964757,"score_gpt":0.3208398231461873,"score_spread":0.2995555219165397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241946043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41801098,0.00041161122,0.57677627,0.00035306223,0.00024171938,0.0008278129,0.0000065815107,0.00038523128,0.0029867531],"genre_scores_gemma":[0.8046678,0.00018950662,0.19198097,0.0025303715,0.00017619794,0.000029209657,0.00027513894,0.00007446757,0.00007637549],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997658,0.00027563816,0.00049438025,0.0007083788,0.0005217223,0.00034189015],"domain_scores_gemma":[0.99843466,0.000119380624,0.00015043879,0.0007350084,0.00036378694,0.00019671737],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00078959815,0.0004288667,0.00080323074,0.0004279531,0.00011891847,0.00012501606,0.000061011717,0.00032597617,0.00007012835],"category_scores_gemma":[0.00012291214,0.00039828167,0.00017613015,0.00027164273,0.0002729741,0.000099429,0.00050833734,0.0009530021,3.44424e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002431748,0.0006495421,0.69872,0.0049074413,0.0015761952,0.002006188,0.004967061,0.0061316425,0.167669,0.00015903733,0.0016164073,0.11135434],"study_design_scores_gemma":[0.0023312122,0.00024674868,0.04405034,0.0112487795,0.0023467296,0.0026267802,0.006620855,0.8423902,0.0841185,0.0014928398,0.0007309249,0.0017961283],"about_ca_topic_score_codex":0.0007776438,"about_ca_topic_score_gemma":0.000007476306,"teacher_disagreement_score":0.83625853,"about_ca_system_score_codex":0.00033288516,"about_ca_system_score_gemma":0.00036780702,"threshold_uncertainty_score":0.99984694},"labels":[],"label_agreement":null},{"id":"W4242202161","doi":"10.21611/qirt.2010.134","title":"Thermophotonic lock-in imaging: An active thermography system for detecting early carious lesions in human teeth","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 International Conference on Quantitative InfraRed Thermography","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Thermography; Lock (firearm); Dentistry; Computer science; Biomedical engineering; Materials science; Optics; Medicine; Engineering; Infrared; Physics; Mechanical engineering","score_opus":0.03449069997902417,"score_gpt":0.32321055908484897,"score_spread":0.2887198591058248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242202161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650888,0.000053558673,0.000031408992,0.00047803656,0.0009092462,0.0020304376,0.00013805769,0.00011809402,0.0311524],"genre_scores_gemma":[0.9974793,0.000016202855,0.0015992733,0.0001579152,0.00011999879,0.00043887086,0.000022310152,0.00009318126,0.00007295586],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99678296,0.000065966706,0.00094306056,0.0007744881,0.00083453546,0.0005990157],"domain_scores_gemma":[0.9966886,0.00028698402,0.000846998,0.00045794403,0.0015471113,0.0001723661],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010581395,0.0005294375,0.00072861084,0.002135012,0.00023330911,0.000092067006,0.0012323295,0.0002809762,0.00010229649],"category_scores_gemma":[0.00039612752,0.00040166843,0.0005431608,0.0014158179,0.0008018397,0.00046182668,0.00011902417,0.0015485337,0.0000022435968],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015070249,0.00048506484,0.12419115,0.00013385469,0.00025839318,0.000006980363,0.005293194,0.000002986911,0.7232345,0.14182968,0.000024381743,0.0030328347],"study_design_scores_gemma":[0.0057667485,0.0016102229,0.78154445,0.0023069626,0.00016916145,0.000048585578,0.015335515,0.0022451414,0.1572684,0.03292026,0.000076660246,0.0007078977],"about_ca_topic_score_codex":0.00040746358,"about_ca_topic_score_gemma":0.00014951256,"teacher_disagreement_score":0.6573533,"about_ca_system_score_codex":0.00011876235,"about_ca_system_score_gemma":0.00014327535,"threshold_uncertainty_score":0.99984354},"labels":[],"label_agreement":null},{"id":"W4242302977","doi":"10.1027/0838-1925.12.5.232","title":"FacialThermography","year":2000,"lang":"en","type":"article","venue":"Allergy & Clinical Immunology International - Journal of the World Allergy Organization","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thermography; Medicine; Optics; Physics; Infrared","score_opus":0.01258247054838972,"score_gpt":0.3067311395237224,"score_spread":0.29414866897533265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242302977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94446677,0.0011403428,0.00038389215,0.035142537,0.008218194,0.0002628456,0.0000071507957,0.00008576052,0.010292494],"genre_scores_gemma":[0.97506535,0.004678701,0.0008881278,0.008730996,0.0022396988,0.0000028827485,0.000042264153,0.00007511101,0.008276841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99672085,0.00034560254,0.0016333516,0.00026143785,0.00075648207,0.00028230288],"domain_scores_gemma":[0.9966955,0.00027732033,0.00087823335,0.00048290755,0.0015238236,0.00014221323],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006949227,0.00024787706,0.0005514739,0.0004858845,0.00015495396,0.000031981548,0.0011367819,0.00024275915,0.011509565],"category_scores_gemma":[0.0008040297,0.00017047684,0.0005623913,0.0011028782,0.0005871489,0.00019259704,0.00011713736,0.0010162044,0.00012126949],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011676251,0.0076395925,0.40716746,0.00003008501,0.073841915,0.0011106526,0.0023761536,0.0014018173,0.030621478,0.027904326,0.123960935,0.3122693],"study_design_scores_gemma":[0.0052044503,0.0005600801,0.63829315,0.00028902045,0.00019714455,0.0009989374,0.00007466634,0.000029304048,0.0014680333,0.0017005282,0.35095084,0.00023384382],"about_ca_topic_score_codex":0.000015449026,"about_ca_topic_score_gemma":0.000040339415,"teacher_disagreement_score":0.31203547,"about_ca_system_score_codex":0.00010350884,"about_ca_system_score_gemma":0.00023785995,"threshold_uncertainty_score":0.98939407},"labels":[],"label_agreement":null},{"id":"W4244911152","doi":"10.1007/978-3-642-28753-4_4965","title":"Thermal Grill Illusion of Pain","year":2013,"lang":"ru","type":"book-chapter","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Illusion; Psychology; Aesthetics; Cognitive psychology; Art","score_opus":0.013218934071014687,"score_gpt":0.22525984004695315,"score_spread":0.21204090597593847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244911152","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0107885655,0.00454876,0.00046074833,0.0010607678,0.0015143092,0.0019472995,0.000056788147,0.000151221,0.97947156],"genre_scores_gemma":[0.33004713,0.0028432524,0.0024113585,0.005433429,0.003018786,0.000038925267,0.00032959075,0.00042391554,0.6554536],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952677,0.0001837592,0.0016224724,0.000754949,0.0014280732,0.00074303435],"domain_scores_gemma":[0.99560714,0.0006595217,0.0008816282,0.001604072,0.0007740697,0.00047358102],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019341432,0.0010103972,0.0019030499,0.00079247844,0.00011303582,0.000011976881,0.00050903024,0.0013478384,0.17250787],"category_scores_gemma":[0.00033629776,0.000731063,0.00080946,0.00014149584,0.0011223597,0.00009702312,0.000240835,0.0012985549,0.0022677793],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087786216,0.000571942,0.0020900408,0.004242509,0.0039383387,0.0005946295,0.003471069,0.000013879839,0.09842241,0.34339347,0.03147054,0.5109133],"study_design_scores_gemma":[0.020933066,0.019108776,0.026717205,0.051297925,0.008074903,0.00018978806,0.003598331,0.0021816348,0.012642963,0.020542443,0.8283387,0.0063743107],"about_ca_topic_score_codex":0.00031785446,"about_ca_topic_score_gemma":0.000004848933,"teacher_disagreement_score":0.79686815,"about_ca_system_score_codex":0.00009649534,"about_ca_system_score_gemma":0.00016955758,"threshold_uncertainty_score":0.9999486},"labels":[],"label_agreement":null},{"id":"W4248459103","doi":"10.1039/c8an90016g","title":"Correction: Physical and compositional analysis of differently cultured 3D human skin equivalents by confocal Raman spectroscopy","year":2018,"lang":"en","type":"erratum","venue":"The Analyst","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SKiN Health","funders":"","keywords":"Raman spectroscopy; Equivalent; Confocal; Spectroscopy; Chemistry; Analytical Chemistry (journal); Chromatography; Physics; Biochemistry; Optics; Astronomy","score_opus":0.009913276047234498,"score_gpt":0.30297536753492504,"score_spread":0.2930620914876905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248459103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8302237,0.0044172425,0.0021957613,0.0018001206,0.015539795,0.0020680123,0.0018619288,0.00029077305,0.1416027],"genre_scores_gemma":[0.8572106,0.00039753353,0.00016561736,0.00089586986,0.008078197,0.00004911704,0.02000569,0.000120415476,0.11307697],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9970452,0.00021976362,0.0006490268,0.00057474774,0.0011183606,0.00039287342],"domain_scores_gemma":[0.99784976,0.00012382508,0.0005924252,0.0008719972,0.00036166352,0.00020035359],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028940503,0.0005225022,0.0018828263,0.00067628495,0.00029347505,0.000040435098,0.0003728237,0.00037123205,0.00086565706],"category_scores_gemma":[0.000032968346,0.00033857572,0.0007859396,0.0013779589,0.0013011682,0.000040415955,0.00011415281,0.0011681974,0.00001527711],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029029325,0.00047430114,0.0019292509,0.0001276965,0.014213572,0.000014471516,0.00095259305,0.000001821639,0.026404584,0.0001228207,0.9553865,0.00008206737],"study_design_scores_gemma":[0.014470382,0.010027227,0.405991,0.0047647324,0.32549196,0.00031653032,0.0023349312,0.030693138,0.029251352,0.0013510656,0.17177168,0.0035360046],"about_ca_topic_score_codex":0.0002127501,"about_ca_topic_score_gemma":0.000063745625,"teacher_disagreement_score":0.7836149,"about_ca_system_score_codex":0.000116659416,"about_ca_system_score_gemma":0.00007138676,"threshold_uncertainty_score":0.9999066},"labels":[],"label_agreement":null},{"id":"W4250317920","doi":"10.32920/ryerson.14665473","title":"Development of methodology for detection of abnormal functioning region in human external organs using thermogram analysis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Purdue University","keywords":"Thermography; Feature (linguistics); Thermal; Computer science; Process (computing); Bioheat transfer; Thermal state; Projection (relational algebra); Artificial intelligence; Temperature gradient; Pattern recognition (psychology); Infrared; Algorithm; Optics; Physics","score_opus":0.12302824305953787,"score_gpt":0.3702962249591217,"score_spread":0.24726798189958382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250317920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53366333,0.00014952381,0.46554303,0.000007104851,0.00016980067,0.00035613403,0.0000012434389,0.000017932218,0.000091917274],"genre_scores_gemma":[0.7245507,0.0000115947205,0.27514982,0.000024641275,0.00009187147,0.000041405085,0.000075328986,0.00002527094,0.00002930353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99745625,0.0002413537,0.0012508733,0.00045418364,0.00033625297,0.0002610774],"domain_scores_gemma":[0.99799824,0.00015774214,0.00076554925,0.00048247928,0.0005332008,0.000062775944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015526661,0.0002632576,0.0012860161,0.0017987363,0.00006688687,0.000007289959,0.00012944282,0.00044852978,0.00013981696],"category_scores_gemma":[0.00018761409,0.00024128455,0.00049435574,0.0011000028,0.00011799325,0.000036153728,0.00015197697,0.00051660073,5.3973142e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043878893,0.00019856973,0.06982525,0.0010508253,0.0027970336,0.000016274396,0.00456334,0.001967529,0.8965568,0.000046579127,5.6897306e-7,0.022538474],"study_design_scores_gemma":[0.0020629363,0.00028348863,0.32067207,0.0013348061,0.0044325287,0.00006555534,0.0041001765,0.0041495757,0.66232574,0.00026160324,0.000009173234,0.00030235935],"about_ca_topic_score_codex":0.0009723569,"about_ca_topic_score_gemma":0.00058862666,"teacher_disagreement_score":0.25084683,"about_ca_system_score_codex":0.00019011709,"about_ca_system_score_gemma":0.00029583692,"threshold_uncertainty_score":0.9839299},"labels":[],"label_agreement":null},{"id":"W4251386841","doi":"10.22215/etd/2008-06599","title":"Segmentation and extraction of regions of interest for automated detection of anomalies in clinical thermal infrared images","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Segmentation; Computer science; Artificial intelligence; Pattern recognition (psychology); A priori and a posteriori; Identification (biology); Computer vision; Image segmentation; Edge detection; Scale-space segmentation; Anomaly detection; Region growing; Image processing; Image (mathematics)","score_opus":0.048982712155367425,"score_gpt":0.38263194935896794,"score_spread":0.3336492372036005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251386841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99622756,0.00038178515,0.00039520452,0.000024316138,0.00032258875,0.0010491988,0.000033565128,0.00005926176,0.0015064902],"genre_scores_gemma":[0.9948259,0.000703001,0.003070275,0.00001273367,0.000075090014,0.00005777386,0.0006622458,0.00003105962,0.0005618961],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980719,0.000088481785,0.001328507,0.00022109385,0.0001738384,0.00011616567],"domain_scores_gemma":[0.9979579,0.000330864,0.0010179228,0.0002080427,0.00044369863,0.00004159134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036260902,0.00018329242,0.00072600367,0.00071364123,0.00002199466,0.0000019864488,0.00005366029,0.00038861917,0.000025455376],"category_scores_gemma":[0.00038667812,0.00016126945,0.00018504038,0.0002859744,0.00020789939,0.00010401134,0.000007078194,0.00023656197,1.6588542e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004338969,0.00037805588,0.019098006,0.0023934538,0.00030084784,0.0000059833155,0.002041924,0.000004752982,0.94667184,0.00006628345,0.00023106221,0.024468834],"study_design_scores_gemma":[0.0029914398,0.0015005484,0.57126004,0.0011208623,0.00030064164,0.000023011798,0.00448908,0.000499738,0.41759473,0.00009478389,0.000014813826,0.000110307774],"about_ca_topic_score_codex":0.0001372816,"about_ca_topic_score_gemma":0.00017618224,"teacher_disagreement_score":0.55216205,"about_ca_system_score_codex":0.000027133476,"about_ca_system_score_gemma":0.000101062644,"threshold_uncertainty_score":0.6576377},"labels":[],"label_agreement":null},{"id":"W4251953997","doi":"10.22215/etd/2009-09121","title":"Severity of illness measures of rheumatoid arthritis using thermal infrared imaging","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Rheumatoid arthritis; Medicine; Physics; Internal medicine","score_opus":0.014328712490581317,"score_gpt":0.27353850228762255,"score_spread":0.25920978979704123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251953997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9392615,0.0068601556,0.00014300963,0.000028440933,0.00054817717,0.0005927332,0.000030166764,0.000082359744,0.05245348],"genre_scores_gemma":[0.99439836,0.0016136602,0.0026997465,0.00014224433,0.00011858564,0.000009112685,0.00049331924,0.000074465344,0.0004505176],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997221,0.00008675076,0.0010760934,0.00034376845,0.00094076875,0.0003315977],"domain_scores_gemma":[0.9975975,0.00006256258,0.00073981524,0.0005994286,0.00088029663,0.00012041018],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044728525,0.0004080996,0.0013164862,0.0006380688,0.00006809178,0.00000778282,0.00020138123,0.000325727,0.0004940709],"category_scores_gemma":[0.00023251936,0.00036388868,0.00037240406,0.00049568474,0.00017947532,0.00010837471,0.000016188429,0.0004866533,0.0000017457421],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024284604,0.000643847,0.027381415,0.0022998087,0.0009860708,0.00017676958,0.0110255005,0.000030019142,0.42263237,0.00037640554,0.0010854766,0.53093386],"study_design_scores_gemma":[0.008097484,0.00055147434,0.33959204,0.022610512,0.00058044534,0.00038097062,0.019106729,0.000558114,0.60428035,0.0018814268,0.0009464297,0.001414054],"about_ca_topic_score_codex":0.0005398583,"about_ca_topic_score_gemma":0.00005012526,"teacher_disagreement_score":0.5295198,"about_ca_system_score_codex":0.00005247167,"about_ca_system_score_gemma":0.0004247928,"threshold_uncertainty_score":0.9998813},"labels":[],"label_agreement":null},{"id":"W4252616048","doi":"10.32920/14640390.v1","title":"Infrared thermography as an access pathway for individuals with severe motor impairments","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermography; Infrared; Physical medicine and rehabilitation; Medicine; Audiology; Psychology; Optics; Physics","score_opus":0.021377767399815065,"score_gpt":0.3104995829632664,"score_spread":0.28912181556345135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252616048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95343846,0.0005931451,0.001306422,0.0005157785,0.00079453987,0.006941299,0.00068893464,0.0006138472,0.03510755],"genre_scores_gemma":[0.9239789,0.0002650982,0.046012044,0.009584582,0.001562248,0.0037606708,0.007560832,0.000516932,0.0067586442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951978,0.00018931569,0.00088201725,0.0015051465,0.0013190699,0.00090668397],"domain_scores_gemma":[0.9952904,0.00017864075,0.0005625192,0.0023088325,0.0009371918,0.00072242547],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007304955,0.0010094368,0.0015709129,0.0010147928,0.00018659627,0.0003496723,0.0010513084,0.0009737846,0.0022679432],"category_scores_gemma":[0.00016061674,0.00073557365,0.0007252759,0.00076340867,0.00028154333,0.00039493473,0.00074147526,0.0013270939,0.0000075741655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009826959,0.007775243,0.8586111,0.011628572,0.022739694,0.002897473,0.017655501,0.000115828036,0.006219094,0.0013231859,0.016085405,0.04512195],"study_design_scores_gemma":[0.06481905,0.031124387,0.7367087,0.018542826,0.009241997,0.003658957,0.017629465,0.0005344638,0.029410362,0.04898873,0.030634,0.008707058],"about_ca_topic_score_codex":0.00014532566,"about_ca_topic_score_gemma":0.000017477883,"teacher_disagreement_score":0.1219024,"about_ca_system_score_codex":0.00011985633,"about_ca_system_score_gemma":0.0013124677,"threshold_uncertainty_score":0.9995095},"labels":[],"label_agreement":null},{"id":"W4253728779","doi":"10.1093/schbul/sbaa028.030","title":"O6.1. COGNITIVE CONTROL DIFFERENCES BETWEEN TREATMENT RESPONSIVE AND TREATMENT RESISTANT FIRST-EPISODE PSYCHOSIS PATIENTS","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Psychosis; Cognition; Psychiatry; Psychology; Early psychosis; Medicine; Psychotherapist","score_opus":0.02055364559735525,"score_gpt":0.24989445146759323,"score_spread":0.22934080587023797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253728779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95003754,0.0015158658,0.0000739321,0.044823173,0.00010668998,0.0020670698,0.0007035484,0.00015480402,0.0005174069],"genre_scores_gemma":[0.99470335,0.0005520035,0.00079655834,0.0027248273,0.0004969694,0.0002939855,0.00019327282,0.000058271435,0.00018078396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99741465,0.00026174766,0.0005841249,0.00075825676,0.00046903096,0.0005122201],"domain_scores_gemma":[0.99788404,0.00067461666,0.0002599118,0.00031658562,0.00019310339,0.00067176425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013100058,0.0005433397,0.0011195042,0.00018881817,0.0002791402,0.000036823323,0.00010987916,0.00015313688,0.0005237896],"category_scores_gemma":[0.00037939803,0.00038433346,0.00023517282,0.00027903783,0.00030253662,0.0000276447,0.00003423731,0.00021482866,0.00014354757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.037750077,0.00083264103,0.8836316,0.00009987921,0.002178415,0.0001440896,0.0040843245,4.604212e-7,0.000128148,0.0000752142,0.0059646494,0.065110505],"study_design_scores_gemma":[0.044522878,0.02306469,0.8959182,0.0006434866,0.0012793638,0.0000072173943,0.0005647265,0.000016104648,0.0005835834,0.00007879668,0.03285681,0.00046414838],"about_ca_topic_score_codex":0.00032192146,"about_ca_topic_score_gemma":0.00006465871,"teacher_disagreement_score":0.064646356,"about_ca_system_score_codex":0.0001864695,"about_ca_system_score_gemma":0.000060771566,"threshold_uncertainty_score":0.9998609},"labels":[],"label_agreement":null},{"id":"W4254030435","doi":"10.32920/ryerson.14636139","title":"Analytical and experimental solution for heat source located under skin: chest tumor detection via IR camera","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Imaging phantom; Bioheat transfer; Body surface; RADIUS; Intensity (physics); Biomedical engineering; Infrared; Materials science; Mechanics; Optics; Computer science; Physics; Heat transfer; Mathematics; Geometry","score_opus":0.01888823893993311,"score_gpt":0.2879119895144061,"score_spread":0.269023750574473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254030435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7181741,0.0014332486,0.27692315,0.00086045003,0.0005585921,0.0012462261,0.0000063180682,0.0001865837,0.00061135064],"genre_scores_gemma":[0.9936754,0.000026874568,0.0031668209,0.0014656081,0.0006747681,0.00020771583,0.00032324958,0.00007818279,0.00038138762],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978738,0.00006687277,0.00049170793,0.00076083577,0.00039137213,0.00041543733],"domain_scores_gemma":[0.9987778,0.000085639935,0.00009787348,0.0005118503,0.00025222005,0.00027459464],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002815296,0.00042388582,0.00073316833,0.00030765482,0.00013574872,0.00005050226,0.000088447225,0.00042201107,0.0003234624],"category_scores_gemma":[0.00006918259,0.00037713122,0.0002807651,0.00023461669,0.0003015018,0.000052470823,0.00021416924,0.00072217046,0.0000044232465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004608533,0.0025793794,0.0052702706,0.004408386,0.0040205726,0.0002897517,0.0053759203,0.001004238,0.932106,0.00020214457,0.002275319,0.037859444],"study_design_scores_gemma":[0.009557906,0.0022162197,0.026576992,0.0013815283,0.002038172,0.0016165702,0.008091476,0.2988897,0.64683086,0.00027911976,0.0011780732,0.0013433928],"about_ca_topic_score_codex":0.00061044213,"about_ca_topic_score_gemma":0.000040872754,"teacher_disagreement_score":0.29788548,"about_ca_system_score_codex":0.00032783003,"about_ca_system_score_gemma":0.0001528869,"threshold_uncertainty_score":0.99986804},"labels":[],"label_agreement":null},{"id":"W4285201772","doi":"10.1561/116.00000039","title":"Self-Supervised Motion-Corrected Image Reconstruction Network for 4D Magnetic Resonance Imaging of the Body Trunk","year":2022,"lang":"en","type":"article","venue":"APSIPA Transactions on Signal and Information Processing","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Magnetic resonance imaging; Trunk; Motion (physics); Computer vision; Artificial intelligence; Image (mathematics); Computer science; Nuclear magnetic resonance; Physics; Medicine; Radiology; Biology","score_opus":0.004903304765019052,"score_gpt":0.20609450810342247,"score_spread":0.20119120333840343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285201772","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2582276,0.0022954089,0.72639865,0.0028427185,0.0014272513,0.0033099249,0.00020462344,0.0004136261,0.0048801717],"genre_scores_gemma":[0.9820915,0.000041086667,0.016392361,0.001059716,0.000072215065,0.00022694147,0.0000435057,0.000015784655,0.00005691132],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881095,0.00005403794,0.00048515204,0.00013109508,0.00032090928,0.00019787221],"domain_scores_gemma":[0.99926883,0.00006701996,0.00020757611,0.00014672136,0.0002569928,0.000052877775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033489862,0.00013647799,0.00019760431,0.00020268816,0.0010154604,0.000041093746,0.00008587668,0.00003860154,0.00033720105],"category_scores_gemma":[0.000017632881,0.00010979787,0.00010417774,0.0007214067,0.00014068915,0.0008547687,0.000005707304,0.00031046275,8.702578e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006331305,0.00011262061,0.0012198247,0.00048720348,0.000027641147,5.725811e-7,0.0027323994,0.0009719093,0.0020237272,0.00021812828,0.00019317711,0.9913797],"study_design_scores_gemma":[0.008902173,0.0013450157,0.027785197,0.0009813445,0.0007058475,0.0008771115,0.007850333,0.9237107,0.009950436,0.0015925694,0.015748318,0.000550949],"about_ca_topic_score_codex":0.000009445342,"about_ca_topic_score_gemma":5.200558e-7,"teacher_disagreement_score":0.9908287,"about_ca_system_score_codex":0.00006279521,"about_ca_system_score_gemma":0.00013279889,"threshold_uncertainty_score":0.7810203},"labels":[],"label_agreement":null},{"id":"W4285465213","doi":"10.32920/ryerson.14639760","title":"Transmission Ultrasound to guide Minimally Invasive Thermal Therapy","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transmission (telecommunications); Ultrasound; Thermal; Medicine; Computer science; Radiology; Medical physics; Biomedical engineering; Telecommunications; Physics","score_opus":0.02057874924691441,"score_gpt":0.29600753078271747,"score_spread":0.2754287815358031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285465213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90130264,0.003064921,0.0018628085,0.0048135375,0.00073665247,0.0020142829,0.000019154362,0.00029131243,0.085894674],"genre_scores_gemma":[0.8742965,0.00529102,0.071756326,0.03254441,0.0019713833,0.0003824071,0.0008656944,0.00030429216,0.012587957],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964547,0.0001626005,0.0008286713,0.0010231608,0.00094496517,0.00058585906],"domain_scores_gemma":[0.9968509,0.00037022788,0.00016498227,0.0014086958,0.00058295095,0.00062221446],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051402027,0.00067305705,0.0011062495,0.0004272171,0.000087288245,0.000078189056,0.0004829287,0.0006928498,0.007596541],"category_scores_gemma":[0.00033432693,0.000503424,0.0006304965,0.0004122561,0.00013696837,0.000052399777,0.00019603537,0.0012522528,0.000063166444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092451175,0.0004502667,0.0038621055,0.00047749258,0.00096051913,0.0008214903,0.008015467,0.000071086026,0.9230659,0.000035519068,0.015783906,0.045531712],"study_design_scores_gemma":[0.0081527,0.002713463,0.11010379,0.007401152,0.0008137099,0.00059862476,0.0049485066,0.000030254381,0.7769546,0.00035969252,0.08589696,0.0020265544],"about_ca_topic_score_codex":0.00022742718,"about_ca_topic_score_gemma":0.000015914591,"teacher_disagreement_score":0.14611134,"about_ca_system_score_codex":0.00015527822,"about_ca_system_score_gemma":0.0013033554,"threshold_uncertainty_score":0.99974173},"labels":[],"label_agreement":null},{"id":"W4285595336","doi":"10.3390/app12147106","title":"Skin Temperature: The Impact of Perfusion, Epidermis Thickness, and Skin Wetness","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Epidermis (zoology); Human skin; Drop (telecommunication); Skin temperature; Relative humidity; Materials science; Convection; Humidity; Degree Celsius; Biomedical engineering; Thermodynamics; Anatomy; Medicine; Biology","score_opus":0.011587034169983884,"score_gpt":0.2841031387394672,"score_spread":0.2725161045694833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285595336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878609,0.0012930927,0.000007846687,0.001707835,0.00012394963,0.0004368546,0.000010181547,0.000026480498,0.008532843],"genre_scores_gemma":[0.998495,0.00007124412,0.00019387511,0.0009580111,0.00011168473,0.00006350499,0.0000057263355,0.000009907022,0.00009103464],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984722,0.00008671436,0.00024559058,0.00030368307,0.00062236085,0.00026943567],"domain_scores_gemma":[0.99917513,0.0002422848,0.00012783206,0.00031694517,0.00005561781,0.00008220755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001795778,0.00014583938,0.00028615387,0.00016873912,0.0008033792,0.000021111262,0.0003444846,0.000043821445,0.00062573276],"category_scores_gemma":[0.0000696829,0.00007705263,0.00009633706,0.001270859,0.001342898,0.000043782373,0.0001730433,0.00036655721,0.0000020465238],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089338614,0.0008102482,0.08524141,0.00023992277,0.00031768705,0.000061644736,0.033488974,0.0014014979,0.7236129,0.031047676,0.049800307,0.07308434],"study_design_scores_gemma":[0.0058378656,0.003679929,0.86635596,0.00021864407,0.00037375628,0.0018958807,0.049419567,0.0015172525,0.043818448,0.018197753,0.007726023,0.00095889694],"about_ca_topic_score_codex":0.00024862264,"about_ca_topic_score_gemma":0.0000038407493,"teacher_disagreement_score":0.7811146,"about_ca_system_score_codex":0.000029482107,"about_ca_system_score_gemma":0.00023340892,"threshold_uncertainty_score":0.6851335},"labels":[],"label_agreement":null},{"id":"W4289646779","doi":"10.15761/mri.1000184","title":"Development of a novel dental thermal imaging application","year":2022,"lang":"en","type":"article","venue":"Medical Research and Innovations","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Dentistry; Medicine","score_opus":0.05785855017392936,"score_gpt":0.3976888802017312,"score_spread":0.33983033002780183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289646779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824447,0.00016207981,0.0072646416,0.0040916507,0.000045476852,0.0003798307,0.000009081606,0.000024110663,0.0055784397],"genre_scores_gemma":[0.99408877,0.000007170774,0.0048338086,0.0005065911,0.000079965364,0.00024808326,0.000106143336,0.000010471894,0.00011901436],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974786,0.000037113867,0.0003377117,0.00016435553,0.0017357711,0.00024641774],"domain_scores_gemma":[0.9991644,0.0001269634,0.000045679546,0.00017139147,0.0003380124,0.00015357143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022983584,0.000058633155,0.00012876964,0.00050075614,0.00040140122,0.0000050809344,0.00013736331,0.000027829938,0.00085248303],"category_scores_gemma":[0.00057215785,0.00005055105,0.000017214503,0.0015584877,0.00039428807,0.000034314693,0.00022691554,0.0006331813,0.0000027145904],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027452753,0.0019895725,0.07046258,0.00015856016,0.00011420927,0.000036848076,0.0032819265,0.0000011552977,0.44458398,0.050206825,0.0028981199,0.42599168],"study_design_scores_gemma":[0.01649008,0.0016823943,0.53897434,0.00054289,0.000056160563,0.0008410395,0.025135603,0.01741021,0.027328782,0.0021911638,0.36875606,0.00059131335],"about_ca_topic_score_codex":0.00002871643,"about_ca_topic_score_gemma":0.0000038851695,"teacher_disagreement_score":0.46851173,"about_ca_system_score_codex":0.00007543689,"about_ca_system_score_gemma":0.0006652971,"threshold_uncertainty_score":0.93340915},"labels":[],"label_agreement":null},{"id":"W4292862248","doi":"10.1109/memea54994.2022.9856520","title":"Red-plane Asymmetry Analysis of Breast Thermograms for Cancer Detection","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Thresholding; Breast cancer; Thermography; Mammography; Abnormality; Medicine; Radiology; Artificial intelligence; Cancer; Computer science; Physics; Internal medicine; Image (mathematics)","score_opus":0.025328273829237125,"score_gpt":0.31544126937095746,"score_spread":0.2901129955417203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292862248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8240421,0.0015148907,0.07504523,0.057571106,0.0052518593,0.009090839,0.0056380606,0.00044718193,0.021398764],"genre_scores_gemma":[0.9935715,0.00020957121,0.00018513485,0.0016108702,0.0005354686,0.0030099645,0.00050728756,0.000031365744,0.00033883698],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965587,0.00007477268,0.0005542072,0.00045407817,0.0021341208,0.0002241057],"domain_scores_gemma":[0.9986912,0.00013688809,0.0002784969,0.0003333694,0.00033712134,0.00022290624],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010015467,0.0001873813,0.00040361562,0.00056266814,0.00026279432,0.000013143315,0.00032122154,0.00009337388,0.0022834167],"category_scores_gemma":[0.000065338696,0.00016859072,0.00024669233,0.0011413269,0.0001327571,0.0000371712,0.000057157176,0.00035254605,0.0000016978601],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026978678,0.0037959912,0.084159285,0.0002874391,0.015544014,0.000013819204,0.0004014378,0.001454003,0.5490451,0.0023432088,0.004028401,0.33622944],"study_design_scores_gemma":[0.0241762,0.0049105906,0.25779516,0.0007922791,0.018390618,0.00050038745,0.0018885016,0.043171357,0.08317179,0.0013258016,0.5617797,0.0020976367],"about_ca_topic_score_codex":0.00014253454,"about_ca_topic_score_gemma":0.000056003137,"teacher_disagreement_score":0.5577513,"about_ca_system_score_codex":0.0002365675,"about_ca_system_score_gemma":0.000074710995,"threshold_uncertainty_score":0.9986286},"labels":[],"label_agreement":null},{"id":"W4293096168","doi":"10.2139/ssrn.4191391","title":"Automated Segmentation and Classification of Hand Thermal Images in Rheumatoid Arthritis Using Machine Learning Algorithms: A Comparison with Quantum Machine Learning Technique","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Segmentation; Support vector machine; Artificial intelligence; Rheumatoid arthritis; Machine learning; Computer science; Algorithm; Quantum; Pattern recognition (psychology); Medicine; Physics","score_opus":0.010973770400296397,"score_gpt":0.27347888729714487,"score_spread":0.26250511689684847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293096168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97198164,0.012781132,0.014383818,0.00018550684,0.000037159825,0.00047909515,0.0000051759766,0.00010585201,0.000040619765],"genre_scores_gemma":[0.99367166,0.003955338,0.0021319278,0.000017190201,0.0000316153,0.000038826525,0.00007676935,0.00004950323,0.000027179254],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973452,0.00047979652,0.0005880738,0.00023818134,0.0005053594,0.0008433864],"domain_scores_gemma":[0.99906874,0.00006743312,0.00057349645,0.0001126549,0.00010869002,0.000069008034],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0023580906,0.00020758774,0.0004665368,0.0005095159,0.0004694844,0.00002702542,0.00009523939,0.00006371427,0.00005476096],"category_scores_gemma":[0.00006924038,0.00018234095,0.00005011487,0.00058808515,0.00016244837,0.00014606425,0.000043129414,0.0034477068,3.4941672e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093181065,0.00022799775,0.32120478,0.000051490017,0.00020886018,0.000044374974,0.0017061597,0.0034115403,0.6513382,0.00034673247,0.0000027709111,0.020525267],"study_design_scores_gemma":[0.015501863,0.011300341,0.06454286,0.0012521036,0.00021517134,0.014577441,0.022857504,0.83619237,0.0313855,0.0013635894,0.00016051035,0.0006507392],"about_ca_topic_score_codex":0.00038111684,"about_ca_topic_score_gemma":0.00012268455,"teacher_disagreement_score":0.83278084,"about_ca_system_score_codex":0.0006131541,"about_ca_system_score_gemma":0.00061909505,"threshold_uncertainty_score":0.99885136},"labels":[],"label_agreement":null},{"id":"W4293103337","doi":"10.1101/2022.03.22.485388","title":"Hand cold pressor test induces thermogenesis in upper thoracic regions as measured by skin surface infrared thermography","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Medicine; Cold pressor test; Blood pressure; Skin temperature; Heart rate; Cardiology; Plethysmograph; Internal medicine; Thermography; Brown adipose tissue; Thermogenesis; Anesthesia; Adipose tissue; Infrared; Biomedical engineering","score_opus":0.01620011532688841,"score_gpt":0.25209044718487517,"score_spread":0.23589033185798675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293103337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797809,0.012154088,0.00008027054,0.0008349773,0.0010992782,0.0037153047,0.0013268216,0.00068712735,0.00032123522],"genre_scores_gemma":[0.9940769,0.0010673985,0.0013126262,0.0011077927,0.00043931964,0.0012563322,0.000009271591,0.00054193474,0.00018843904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9920619,0.000826222,0.0015043176,0.002223931,0.0019402882,0.0014433275],"domain_scores_gemma":[0.9933571,0.0005303711,0.0010076952,0.0034900825,0.00085495575,0.00075978343],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0021208234,0.0015079606,0.0019568712,0.001489426,0.00052994944,0.0002471733,0.0014254046,0.0014012188,0.00090251287],"category_scores_gemma":[0.0010443385,0.0015183117,0.00069522276,0.0033453787,0.0007810558,0.00023523424,0.00080950384,0.003232068,0.000043554777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040222207,0.0011361087,0.133928,0.00088891765,0.0007620393,0.00036771683,0.00020109149,0.00004074712,0.8597229,0.00013263429,0.0024098754,0.000007707623],"study_design_scores_gemma":[0.0031113399,0.0005756378,0.4049356,0.001986833,0.0011175751,5.0745854e-7,0.00008602764,0.00005489511,0.56540865,0.000019696266,0.020687321,0.0020159378],"about_ca_topic_score_codex":0.00045810366,"about_ca_topic_score_gemma":0.000006395129,"teacher_disagreement_score":0.2943143,"about_ca_system_score_codex":0.00061187183,"about_ca_system_score_gemma":0.0013769097,"threshold_uncertainty_score":0.99989516},"labels":[],"label_agreement":null},{"id":"W4294795543","doi":"10.1249/01.mss.0000880820.48785.db","title":"Core Temperature Estimation Using The CORETm Body Temperature Sensor During A 5 Km Running Time-trial","year":2022,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Core temperature; Core (optical fiber); Sitting; Medicine; Heart rate; Time trial; Thermoregulation; Skin temperature; Relative humidity; Physical therapy; Nuclear medicine; Animal science; Biomedical engineering; Computer science; Internal medicine; Telecommunications; Meteorology; Blood pressure; Physics","score_opus":0.017824381402345643,"score_gpt":0.295297685957585,"score_spread":0.27747330455523933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294795543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992878,0.00030445922,0.0000042878282,0.0014986757,0.0020447017,0.0025188637,0.000010596139,0.00016914113,0.00057124306],"genre_scores_gemma":[0.99636954,0.000053874257,0.0006814992,0.00096586434,0.00091671007,0.00016157345,0.00006480526,0.00006307062,0.00072307506],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99373794,0.000079098674,0.00096296996,0.0009419371,0.0033179624,0.0009601075],"domain_scores_gemma":[0.99768215,0.00009958666,0.00041735466,0.0011349724,0.0003168619,0.00034909716],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003836391,0.00048222128,0.00092717644,0.0012178482,0.0017434516,0.00005463589,0.0007188251,0.00014555668,0.0015391728],"category_scores_gemma":[0.0005801689,0.0003210705,0.00014028569,0.0051112897,0.0018981997,0.00034816642,0.00028359194,0.0018514608,0.000005788061],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016388018,0.0006812647,0.2660509,0.00031830376,0.000012711108,0.005923463,0.025484556,0.0067500276,0.6707333,0.000045271838,0.0030949137,0.0045173196],"study_design_scores_gemma":[0.060970996,0.0024504925,0.8588908,0.006024259,0.0010265148,0.005521298,0.027479632,0.032332733,0.002433014,0.00045343844,0.00093948725,0.0014773826],"about_ca_topic_score_codex":0.00012887224,"about_ca_topic_score_gemma":0.0000017391371,"teacher_disagreement_score":0.6683002,"about_ca_system_score_codex":0.0005331494,"about_ca_system_score_gemma":0.0007185252,"threshold_uncertainty_score":0.9999241},"labels":[],"label_agreement":null},{"id":"W4295066874","doi":"10.7759/cureus.28980","title":"Use of Infrared Thermal Imaging for Assessing Acute Inflammatory Changes: A Case Series","year":2022,"lang":"en","type":"article","venue":"Cureus","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Thermography; Inflammation; Erythema; Infrared; Radiology; Dermatology; Pathology; Internal medicine; Optics","score_opus":0.034245737656042274,"score_gpt":0.2990885270039923,"score_spread":0.26484278934795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295066874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956049,0.000913386,0.0002570198,0.000765645,0.0005422302,0.0007940707,0.00013588925,0.00012243679,0.0008644361],"genre_scores_gemma":[0.990427,0.000031846143,0.0066815144,0.0012683574,0.00037404787,0.00036451846,0.00010752024,0.00007775377,0.000667412],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987916,0.00007455966,0.00030195684,0.00021954531,0.00030402633,0.0003083075],"domain_scores_gemma":[0.99893045,0.00014106046,0.00020291914,0.000453019,0.00017412567,0.00009841914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034781898,0.00017473407,0.0003438555,0.00019759189,0.000255178,0.000022649976,0.000114208015,0.000043971824,0.00032950094],"category_scores_gemma":[0.00015809064,0.00016338192,0.00012840639,0.00026216032,0.00016366037,0.0003088218,0.00013068029,0.00025746407,6.6834104e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030698713,0.00069313264,0.12017629,0.0014968838,0.002367638,0.03026357,0.030188989,0.00017835929,0.7537678,0.0017515275,0.019996319,0.036049612],"study_design_scores_gemma":[0.032286514,0.007948497,0.0602939,0.0021617906,0.008694292,0.16727513,0.0951655,0.009705642,0.1371902,0.002912046,0.4726592,0.003707302],"about_ca_topic_score_codex":0.00003100478,"about_ca_topic_score_gemma":0.0000064394467,"teacher_disagreement_score":0.6165776,"about_ca_system_score_codex":0.00009710923,"about_ca_system_score_gemma":0.00014053768,"threshold_uncertainty_score":0.66625214},"labels":[],"label_agreement":null},{"id":"W4297996898","doi":"10.32920/14640390.v2","title":"Infrared thermography as an access pathway for individuals with severe motor impairments","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermography; Closing (real estate); Sensitivity (control systems); Infrared; Medicine; Physics; Engineering; Optics","score_opus":0.022699415267042715,"score_gpt":0.31792496653506097,"score_spread":0.29522555126801825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297996898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90747505,0.00042051455,0.0005507099,0.00064605096,0.0010501334,0.010845929,0.0020706053,0.0008947963,0.07604623],"genre_scores_gemma":[0.8867972,0.00030810037,0.0395273,0.017585605,0.0022811024,0.015436545,0.013902743,0.0010032902,0.02315812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99488604,0.00022897379,0.00087533874,0.0014600855,0.001628106,0.0009214807],"domain_scores_gemma":[0.9957505,0.00020181727,0.0006493384,0.0023013283,0.0004492315,0.0006478014],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010087984,0.0009844913,0.001408805,0.0013814076,0.00032858906,0.00018793337,0.0014599812,0.0006313992,0.008239723],"category_scores_gemma":[0.00011710593,0.0007337658,0.000677241,0.0008195543,0.00026878013,0.00030183024,0.0011834615,0.0017222402,0.000008885565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014886204,0.006484057,0.8748252,0.0070014936,0.015606313,0.0014478293,0.012866682,0.00024728378,0.0016066375,0.0028787416,0.03346593,0.028683644],"study_design_scores_gemma":[0.060046487,0.050800957,0.5423405,0.004835674,0.007174154,0.0020865088,0.012660345,0.0004562398,0.0046778275,0.12226017,0.18492275,0.007738365],"about_ca_topic_score_codex":0.00015974086,"about_ca_topic_score_gemma":0.000007412284,"teacher_disagreement_score":0.33248466,"about_ca_system_score_codex":0.00019420507,"about_ca_system_score_gemma":0.0010536142,"threshold_uncertainty_score":0.99951136},"labels":[],"label_agreement":null},{"id":"W4299513401","doi":"","title":"Dental pain induced by an ambient thermal differential: pathophysiological hypothesis","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pathophysiology; Medicine; Psychology; Internal medicine","score_opus":0.23993103639764937,"score_gpt":0.5184004410853353,"score_spread":0.278469404687686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299513401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946502,0.0017354696,0.000120875586,0.00026679516,0.00068708154,0.00082169904,0.00006191798,0.000070821945,0.0015851648],"genre_scores_gemma":[0.9961088,0.0016521486,0.00018486609,0.0011067411,0.000594996,0.00006976973,0.000040995656,0.00009265547,0.00014907739],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9958589,0.00075461343,0.0009485759,0.0006660806,0.0011318544,0.0006399964],"domain_scores_gemma":[0.9960383,0.000357822,0.0011536126,0.0015040347,0.00027613566,0.0006700808],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018739466,0.0005175513,0.0013224096,0.0005275671,0.0006772521,0.00089612504,0.003463079,0.0002933463,0.010076054],"category_scores_gemma":[0.0012242632,0.00038300353,0.00041472088,0.00029674565,0.00042298716,0.0013822294,0.0009016225,0.0008331522,0.000016875461],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062896014,0.0007602982,0.2643841,0.000048131984,0.000240947,0.00011750083,0.000119449986,9.707308e-7,0.68393826,0.000007935747,0.005347485,0.044405945],"study_design_scores_gemma":[0.0016273576,0.00017147949,0.8573214,0.0004838504,0.00021202242,0.000021363456,0.00012536382,0.000057484584,0.1381778,0.0010097042,0.000397472,0.00039473886],"about_ca_topic_score_codex":0.0007627262,"about_ca_topic_score_gemma":0.000017500277,"teacher_disagreement_score":0.5929373,"about_ca_system_score_codex":0.000117913645,"about_ca_system_score_gemma":0.00009975296,"threshold_uncertainty_score":0.9998622},"labels":[],"label_agreement":null},{"id":"W4299609729","doi":"","title":"Interstitial diffuse radiance spectroscopy of gold nanocages and nanorods in bulk muscle tissues","year":2015,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nanocages; Nanorod; Radiance; Spectroscopy; Materials science; Diffuse reflectance infrared fourier transform; Nanotechnology; Optoelectronics; Optics; Chemistry; Physics; Photocatalysis","score_opus":0.17877379580913363,"score_gpt":0.5328641633344359,"score_spread":0.3540903675253022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299609729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9558924,0.036770772,0.00006845098,0.00039350064,0.0006790768,0.0005888619,0.000029201996,0.00002914926,0.0055485996],"genre_scores_gemma":[0.98702633,0.010898033,0.001034678,0.00035387324,0.0003151217,0.000022940443,0.000010092161,0.000056694178,0.0002822452],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99724764,0.00019914008,0.00095949834,0.00041688053,0.0007522154,0.00042463513],"domain_scores_gemma":[0.9978647,0.00021104116,0.0006137708,0.0005449998,0.00030487275,0.00046056494],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013296321,0.00033388168,0.001199589,0.0012206668,0.00004798266,0.00016066288,0.0010632621,0.00014687216,0.0014310001],"category_scores_gemma":[0.0006808374,0.00028839256,0.00012827668,0.0010268615,0.0005135778,0.00094495737,0.00041515628,0.0005070541,0.0000047595418],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010835282,0.00053728564,0.4509292,0.00028183224,0.0001827262,0.00028948302,0.0019489394,0.000010545977,0.5168833,0.00007312019,0.017982436,0.009797554],"study_design_scores_gemma":[0.0060417177,0.00024553144,0.7675483,0.003243647,0.00019574295,0.00010451374,0.0006675093,0.000047200367,0.2117631,0.0024294632,0.007265842,0.00044738426],"about_ca_topic_score_codex":0.0014414287,"about_ca_topic_score_gemma":0.00008760036,"teacher_disagreement_score":0.31661916,"about_ca_system_score_codex":0.00012603954,"about_ca_system_score_gemma":0.00018850424,"threshold_uncertainty_score":0.99995685},"labels":[],"label_agreement":null},{"id":"W4300783895","doi":"","title":"Objective evaluation for venous leg ulcer-related nociceptive pain using thermography","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nociception; Medicine; Thermography; Anesthesia; Internal medicine; Infrared; Physics","score_opus":0.23857139956811904,"score_gpt":0.5685948924949359,"score_spread":0.3300234929268169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300783895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96835,0.0079977,0.009452428,0.00023057367,0.0010426606,0.0037326121,0.000054695298,0.000093042654,0.0090462845],"genre_scores_gemma":[0.99612737,0.00062843115,0.0013213657,0.00091647153,0.0005429078,0.00018655582,0.000074588024,0.00013233749,0.00006995558],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9947527,0.0013520212,0.0011993021,0.0006536855,0.0014200939,0.00062218634],"domain_scores_gemma":[0.99439615,0.0012867114,0.001385526,0.0007158164,0.0018652276,0.00035059082],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0101510035,0.00049758673,0.0013396713,0.0018941817,0.000424133,0.00027617443,0.001181128,0.00029603075,0.0042422004],"category_scores_gemma":[0.0025083972,0.0004301312,0.00058697513,0.0020917528,0.00037402438,0.0010342678,0.0002137672,0.00069052086,0.0000064510473],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031159576,0.0015374786,0.2874991,0.00050432404,0.0033199033,0.000037696755,0.0051166774,0.0008744272,0.46763906,0.00025057918,0.0105245905,0.21958019],"study_design_scores_gemma":[0.008825117,0.0006652586,0.9001787,0.0033235287,0.003234151,0.00009912705,0.001400916,0.013472113,0.030045198,0.034680057,0.0029541897,0.0011216422],"about_ca_topic_score_codex":0.00046263004,"about_ca_topic_score_gemma":0.000014520058,"teacher_disagreement_score":0.6126796,"about_ca_system_score_codex":0.00029658852,"about_ca_system_score_gemma":0.00034446875,"threshold_uncertainty_score":0.99981505},"labels":[],"label_agreement":null},{"id":"W4300841564","doi":"","title":"SOUND-SPEED AND ATTENUATION IMAGING OF BREAST TISSUE USING WAVEFORM TOMOGRAPHY OF TRANSMISSION ULTRASOUND DATA","year":2024,"lang":"en","type":"paratext","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Los Alamos National Laboratory; Natural Sciences and Engineering Research Council of Canada; National Nuclear Security Administration; U.S. Department of Energy","keywords":"Attenuation; Acoustics; Ultrasound; Waveform; Tomography; Speed of sound; Iterative reconstruction; Transmission (telecommunications); Breast imaging; Acoustic attenuation; Ultrasound imaging; Ultrasonic imaging; Computer science; Physics; Radiology; Optics; Medicine; Mammography; Breast cancer; Telecommunications","score_opus":0.018349565224116272,"score_gpt":0.27733873177371665,"score_spread":0.25898916654960036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300841564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78195953,0.021007404,0.03646153,0.0007623743,0.0034059696,0.0030177778,0.014875621,0.00017929554,0.13833049],"genre_scores_gemma":[0.9764604,0.00065974647,0.0037048727,0.00003708069,0.00006108337,0.0000059119197,0.018672837,0.000025472445,0.00037259847],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967689,0.000033577533,0.0015287743,0.00040609878,0.0010011268,0.00026155324],"domain_scores_gemma":[0.99722546,0.00017859189,0.0009932132,0.0007967857,0.0006427234,0.00016320964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00089767954,0.00033986685,0.00087450835,0.0012386495,0.00010846577,0.000049447142,0.00033755586,0.00027367685,0.00023482814],"category_scores_gemma":[0.00007805597,0.00027718613,0.00014800631,0.0010738858,0.0015570088,0.0007038399,0.00020199115,0.00026218154,0.000005535882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043376326,0.003387491,0.010213285,0.050739747,0.003815266,0.000034488807,0.00061387743,0.0005991363,0.65635276,0.015879821,0.13662784,0.11739868],"study_design_scores_gemma":[0.021306476,0.006210954,0.21120611,0.061820515,0.017654082,0.005808448,0.0010113822,0.0047883326,0.29301202,0.004572677,0.36724013,0.005368869],"about_ca_topic_score_codex":0.000088580135,"about_ca_topic_score_gemma":0.0000033463302,"teacher_disagreement_score":0.36334074,"about_ca_system_score_codex":0.000038285427,"about_ca_system_score_gemma":0.00023392013,"threshold_uncertainty_score":0.99996805},"labels":[],"label_agreement":null},{"id":"W4307980685","doi":"10.32920/21482364.v1","title":"A new thermal dose model based on Vogel-Tammann-Fulcher behaviour in thermal damage processes","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Arrhenius equation; Materials science; Hyperthermia; Thermal; Work (physics); Ex vivo; Thermodynamics; In vivo; Physics; Kinetics; Medicine; Internal medicine","score_opus":0.022801865507993367,"score_gpt":0.2952666169518281,"score_spread":0.27246475144383475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307980685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8894711,0.00040428055,0.0014034776,0.0027188386,0.00050257717,0.0026960738,0.00009888618,0.00048362516,0.10222111],"genre_scores_gemma":[0.9729238,0.00002529216,0.0083637135,0.005264034,0.00060562586,0.00063138787,0.0005966381,0.0002619672,0.011327509],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9952363,0.00020780116,0.0009078367,0.0012528326,0.0015343426,0.0008609337],"domain_scores_gemma":[0.9969537,0.00017186414,0.00034225793,0.001870294,0.00022306303,0.00043880107],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00084785226,0.00092660385,0.0011864247,0.0011393796,0.00011036669,0.0000529927,0.0008679275,0.0006821618,0.01240407],"category_scores_gemma":[0.00021884702,0.0007608845,0.00041173684,0.0008126856,0.00014687021,0.00009332088,0.0006152905,0.003610555,0.000037759524],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01290564,0.007845825,0.35701093,0.0062992442,0.0009368254,0.0060851933,0.013712375,0.5328544,0.017362166,0.0006013963,0.02021889,0.024167141],"study_design_scores_gemma":[0.039671194,0.0047860714,0.6388608,0.0072636358,0.0028047035,0.00007689213,0.0025484767,0.28407148,0.0109926285,0.0020974977,0.0014802536,0.00534636],"about_ca_topic_score_codex":0.00080332055,"about_ca_topic_score_gemma":0.00008375179,"teacher_disagreement_score":0.28184986,"about_ca_system_score_codex":0.00033588137,"about_ca_system_score_gemma":0.0031619056,"threshold_uncertainty_score":0.99948424},"labels":[],"label_agreement":null},{"id":"W4307980697","doi":"10.32920/21482364","title":"A new thermal dose model based on Vogel-Tammann-Fulcher behaviour in thermal damage processes","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Arrhenius equation; Materials science; Hyperthermia; Work (physics); Thermal; Ex vivo; Thermodynamics; In vivo; Physics; Kinetics","score_opus":0.022801865507993367,"score_gpt":0.2952666169518281,"score_spread":0.27246475144383475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307980697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8894711,0.00040428055,0.0014034776,0.0027188386,0.00050257717,0.0026960738,0.00009888618,0.00048362516,0.10222111],"genre_scores_gemma":[0.9729238,0.00002529216,0.0083637135,0.005264034,0.00060562586,0.00063138787,0.0005966381,0.0002619672,0.011327509],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9952363,0.00020780116,0.0009078367,0.0012528326,0.0015343426,0.0008609337],"domain_scores_gemma":[0.9969537,0.00017186414,0.00034225793,0.001870294,0.00022306303,0.00043880107],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00084785226,0.00092660385,0.0011864247,0.0011393796,0.00011036669,0.0000529927,0.0008679275,0.0006821618,0.01240407],"category_scores_gemma":[0.00021884702,0.0007608845,0.00041173684,0.0008126856,0.00014687021,0.00009332088,0.0006152905,0.003610555,0.000037759524],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01290564,0.007845825,0.35701093,0.0062992442,0.0009368254,0.0060851933,0.013712375,0.5328544,0.017362166,0.0006013963,0.02021889,0.024167141],"study_design_scores_gemma":[0.039671194,0.0047860714,0.6388608,0.0072636358,0.0028047035,0.00007689213,0.0025484767,0.28407148,0.0109926285,0.0020974977,0.0014802536,0.00534636],"about_ca_topic_score_codex":0.00080332055,"about_ca_topic_score_gemma":0.00008375179,"teacher_disagreement_score":0.28184986,"about_ca_system_score_codex":0.00033588137,"about_ca_system_score_gemma":0.0031619056,"threshold_uncertainty_score":0.99948424},"labels":[],"label_agreement":null},{"id":"W4309413272","doi":"10.1123/mc.2021-0124","title":"Heating the Skin Over the Knee Improves Kinesthesia During Knee Extension","year":2022,"lang":"en","type":"article","venue":"Motor Control","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Physical medicine and rehabilitation; Extension (predicate logic); Knee flexion; Medicine; Knee Joint; Computer science; Artificial intelligence; Surgery","score_opus":0.005178594197611265,"score_gpt":0.21783598743135993,"score_spread":0.21265739323374866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309413272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887366,0.0012703963,0.00004564207,0.0069230115,0.00045859342,0.0016935129,0.000010146804,0.00012442145,0.0007376312],"genre_scores_gemma":[0.9883228,0.0000057772686,0.000056198245,0.008895458,0.0009617528,0.0005317873,0.0000055374308,0.000054646312,0.0011660311],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979717,0.00024802142,0.00036010763,0.00030359064,0.0006868866,0.0004297043],"domain_scores_gemma":[0.9983624,0.0004790183,0.00015885808,0.0008346261,0.00007918064,0.00008586621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086543843,0.00022626514,0.00034873342,0.00012172103,0.0008519366,0.000027319325,0.0002440669,0.00005104746,0.0005530717],"category_scores_gemma":[0.00029516016,0.000120691606,0.00025436364,0.00032056586,0.00015427663,0.000049942475,0.000106301755,0.000699349,0.000011269794],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035657766,0.00032816926,0.036737863,0.0001379745,0.0006774441,0.00055822864,0.004190599,0.00021907926,0.91721237,0.00093143736,0.003549256,0.0318918],"study_design_scores_gemma":[0.00817281,0.0010048967,0.9644352,0.00007552872,0.0003420743,0.0004441009,0.0012747529,0.00432736,0.0008498351,0.00015838035,0.018694954,0.00022009863],"about_ca_topic_score_codex":0.00011056938,"about_ca_topic_score_gemma":0.000002843911,"teacher_disagreement_score":0.92769736,"about_ca_system_score_codex":0.0001023213,"about_ca_system_score_gemma":0.00005538278,"threshold_uncertainty_score":0.65524936},"labels":[],"label_agreement":null},{"id":"W4309613861","doi":"10.3390/curroncol29110690","title":"Applying Deep Learning for Breast Cancer Detection in Radiology","year":2022,"lang":"en","type":"review","venue":"Current Oncology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation de la recherche en santé du Nouveau-Brunswick","keywords":"Medicine; Breast cancer; Deep learning; Mammography; Breast cancer screening; Breast imaging; Medical physics; Artificial intelligence; Workflow; Clinical Practice; Cancer; Magnetic resonance imaging; Radiology; Computer science; Internal medicine; Family medicine","score_opus":0.13634476318108874,"score_gpt":0.4558410989850897,"score_spread":0.31949633580400094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309613861","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028405708,0.9895993,0.0005177826,0.00005282178,0.0050307848,0.004162019,0.000038841787,0.00008858075,0.00048150477],"genre_scores_gemma":[0.000052911477,0.9797938,0.00007483064,0.0000704256,0.0016577858,0.017863696,0.00035395302,0.00009204366,0.000040571722],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99717736,0.00060347276,0.00083372,0.00061350677,0.00018843905,0.00058350276],"domain_scores_gemma":[0.99814326,0.00083711994,0.0005533273,0.00026998346,0.000070688926,0.00012561538],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008580722,0.00041428543,0.002566277,0.0009968013,0.00014500279,0.000004188864,0.00020746447,0.00052126567,0.001598152],"category_scores_gemma":[0.00028628015,0.00036017044,0.0005466017,0.0007323442,0.00013982141,0.00002648122,0.000096007316,0.0024473246,0.00000985395],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013513165,0.00015241679,0.00022570253,0.012829079,0.00017307584,0.000040998322,0.00014013503,0.00000610459,0.0000026515327,0.000018846458,0.00009418792,0.9861817],"study_design_scores_gemma":[0.0017587671,0.0006934954,0.00011089648,0.0031402498,0.0014342408,0.001740954,0.0001228565,0.00013400798,2.5977624e-7,0.000028747552,0.9905674,0.0002681271],"about_ca_topic_score_codex":0.000017596067,"about_ca_topic_score_gemma":0.00003643739,"teacher_disagreement_score":0.9904732,"about_ca_system_score_codex":0.0018246998,"about_ca_system_score_gemma":0.0005671718,"threshold_uncertainty_score":0.999885},"labels":[],"label_agreement":null},{"id":"W4311086701","doi":"10.1016/j.jtherbio.2022.103404","title":"Automated segmentation and classification of hand thermal images in rheumatoid arthritis using machine learning algorithms: A comparison with quantum machine learning technique","year":2022,"lang":"en","type":"article","venue":"Journal of Thermal Biology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial intelligence; Support vector machine; Computer science; Machine learning; Cluster analysis; Algorithm; Segmentation; Feature extraction; Pattern recognition (psychology)","score_opus":0.019005266511706666,"score_gpt":0.2999267063894047,"score_spread":0.2809214398776981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311086701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918223,0.0053566885,0.0021007594,0.00022221787,0.00008224139,0.00032220394,0.000011823604,0.000041695806,0.00004004095],"genre_scores_gemma":[0.9934624,0.00048402837,0.005872524,0.00003884105,0.000040941086,0.000015177813,0.000052114312,0.000028231892,0.000005764399],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978822,0.00070177316,0.000778436,0.0001675907,0.0002515835,0.00021840334],"domain_scores_gemma":[0.9984647,0.0001368322,0.0010814546,0.000099544486,0.00015206597,0.00006538555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012879415,0.0001748382,0.000637347,0.0005063062,0.00017946049,0.000010419152,0.00010475207,0.00009223821,0.00011644022],"category_scores_gemma":[0.00009963408,0.00013350544,0.000069939044,0.00035699576,0.00027198263,0.00009778727,0.000058014946,0.0010759104,2.5944243e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009821267,0.00011918585,0.32315528,0.00003127989,0.00009239155,0.000052044878,0.0008629307,0.001866182,0.66641504,0.000011107944,0.00000276969,0.006409661],"study_design_scores_gemma":[0.0154225575,0.015265506,0.37215665,0.0013418733,0.00022002212,0.0067407726,0.0054581454,0.40137842,0.1810163,0.000075922784,0.000419948,0.0005038961],"about_ca_topic_score_codex":0.00016616144,"about_ca_topic_score_gemma":0.00000664537,"teacher_disagreement_score":0.48539874,"about_ca_system_score_codex":0.00009930106,"about_ca_system_score_gemma":0.0000901633,"threshold_uncertainty_score":0.54441935},"labels":[],"label_agreement":null},{"id":"W4313479657","doi":"10.1016/j.bonr.2022.101652","title":"Corrigendum to “The effect of low intensity pulsed ultrasound on mandibular condylar growth in young adult rats” [Bone Rep. 15 (2021) 101122 (December)]","year":2023,"lang":"en","type":"erratum","venue":"Bone Reports","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Condyle; Intensity (physics); Medicine; Orthodontics; Dentistry; Physics; Optics","score_opus":0.008049052494081162,"score_gpt":0.24599802669822107,"score_spread":0.2379489742041399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313479657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7865805,0.0039048248,0.000063294836,0.0028596197,0.14167058,0.0114859585,0.00028506253,0.0006454922,0.05250464],"genre_scores_gemma":[0.74799794,0.0013201635,0.000093136856,0.0016274991,0.005277046,0.0007181746,0.005044988,0.00069323485,0.23722783],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99151486,0.0004482664,0.0027097003,0.0017154258,0.0024284716,0.00118325],"domain_scores_gemma":[0.9931207,0.00042618674,0.0017340876,0.003050459,0.0011436419,0.0005249669],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0038782745,0.0012015933,0.0035295396,0.0015673538,0.00017162618,0.000041624397,0.0003369661,0.0012960096,0.0004432075],"category_scores_gemma":[0.010063879,0.0008829368,0.00082693895,0.0022678522,0.00041308923,0.00007349722,0.00020795905,0.003334054,0.00015911255],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020786265,0.00023307904,0.03203654,0.001986376,0.0006301811,0.04523397,0.00064012996,0.000009142082,0.004408009,0.000011442192,0.9124948,0.0002377364],"study_design_scores_gemma":[0.022327125,0.03052598,0.4131206,0.08874356,0.009774677,0.083948165,0.0021459577,0.00025331162,0.1658185,0.0014738047,0.17366381,0.008204498],"about_ca_topic_score_codex":0.002528019,"about_ca_topic_score_gemma":0.0010454995,"teacher_disagreement_score":0.738831,"about_ca_system_score_codex":0.00047739747,"about_ca_system_score_gemma":0.0005324237,"threshold_uncertainty_score":0.99960136},"labels":[],"label_agreement":null},{"id":"W4313482519","doi":"10.2139/ssrn.4307986","title":"Bio-Heat Transfer and Monte Carlo Measurement of Near-Infrared Transcranial Stimulation of Human Brain","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Monte Carlo method; Stimulation; Transcranial direct-current stimulation; Brain stimulation; Human brain; Neuroscience; Infrared; Physics; Psychology; Mathematics; Optics; Statistics","score_opus":0.012936128171932607,"score_gpt":0.24899455545341576,"score_spread":0.23605842728148316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313482519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933172,0.0037950648,0.0011933827,0.0008839654,0.000104289946,0.00042414793,0.000013831273,0.000017939787,0.00025019402],"genre_scores_gemma":[0.99936515,0.000228599,0.00004683192,0.00011252448,0.000111598594,0.0000098411765,0.0000065077966,0.000032105752,0.00008684385],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971473,0.00019329325,0.0005924237,0.00017992947,0.001046921,0.0008401191],"domain_scores_gemma":[0.9993856,0.000034871046,0.00007042499,0.00019052462,0.0002190157,0.00009959593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025245072,0.00017145652,0.00045165973,0.00027219803,0.00025716185,0.000006392711,0.00013256074,0.00006332957,0.000152419],"category_scores_gemma":[0.00004008207,0.0001552801,0.00018077514,0.00032951668,0.00015895841,0.000065805485,0.000013162421,0.00141994,1.5862155e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018926602,0.00039944352,0.011249023,0.00013320877,0.00084772374,0.000017448783,0.0040897913,0.00084705563,0.97081006,0.0035866904,0.00008680648,0.006040106],"study_design_scores_gemma":[0.15448232,0.14645019,0.40957502,0.0019706981,0.008630758,0.010530946,0.03331333,0.009652796,0.10789884,0.11003403,0.004522998,0.002938085],"about_ca_topic_score_codex":0.00013458035,"about_ca_topic_score_gemma":0.000085329135,"teacher_disagreement_score":0.8629112,"about_ca_system_score_codex":0.00047383117,"about_ca_system_score_gemma":0.0010626051,"threshold_uncertainty_score":0.6332139},"labels":[],"label_agreement":null},{"id":"W4313582824","doi":"10.6000/1929-6029.2022.11.21","title":"Are the Normative Values of Sensorineural Acuity Level (SAL) Test Affected by Head Circumferences of Subjects?","year":2022,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Sains Malaysia","keywords":"Normative; Audiology; Medicine; Test (biology); Psychology","score_opus":0.1112529782082808,"score_gpt":0.4575116741566568,"score_spread":0.346258695948376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313582824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891525,0.0004012827,0.002236385,0.005439248,0.00054893334,0.00026919766,0.0013144838,0.0000044802314,0.00063351233],"genre_scores_gemma":[0.99827904,0.00032178505,0.0007901849,0.00023807524,0.00022013464,0.000010058333,0.00003685693,0.000013450108,0.00009040493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9902114,0.00091087987,0.0010494086,0.00013690653,0.007406098,0.00028530712],"domain_scores_gemma":[0.98833245,0.007436978,0.0007890562,0.00018279826,0.0030621013,0.00019663529],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006335383,0.00011962434,0.0004743016,0.00072514295,0.00008860145,0.000011825079,0.0009879433,0.000068743626,0.0011516985],"category_scores_gemma":[0.026313351,0.00008036531,0.000094531875,0.0007084245,0.0011904342,0.00006124606,0.00026910132,0.0022692021,0.0000014356838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004942545,0.006626108,0.7439081,0.00077151274,0.0018766914,0.0083574,0.012627957,0.00011268172,0.03788532,0.0076133483,0.09010485,0.085173465],"study_design_scores_gemma":[0.008203625,0.0051804394,0.9272155,0.0025007275,0.000095379706,0.0017940595,0.019436153,0.0040136366,0.009297943,0.021004964,0.0010342589,0.00022332408],"about_ca_topic_score_codex":0.0002498449,"about_ca_topic_score_gemma":0.000041159958,"teacher_disagreement_score":0.18330736,"about_ca_system_score_codex":0.00024349891,"about_ca_system_score_gemma":0.00072754134,"threshold_uncertainty_score":0.9997614},"labels":[],"label_agreement":null},{"id":"W4318830044","doi":"10.4015/s1016237222500533","title":"AUTOMATED DETECTION OF CHILDHOOD OBESITY IN ABDOMINOPELVIC REGION USING THERMAL IMAGING BASED ON DEEP LEARNING TECHNIQUES","year":2023,"lang":"en","type":"article","venue":"Biomedical Engineering Applications Basis and Communications","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Obesity; Medicine; Childhood obesity; Body surface; Body shape; Overweight; Internal medicine; Pathology; Mathematics","score_opus":0.009711889395853624,"score_gpt":0.2572341152532024,"score_spread":0.24752222585734876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318830044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85739034,0.0011954335,0.13325065,0.0026058785,0.000058271537,0.0019056035,0.000013227987,0.0028702498,0.0007103598],"genre_scores_gemma":[0.9884633,0.00021137645,0.010817222,0.00006642882,0.000036403133,0.00029361137,0.0000801668,0.000028524268,0.0000029860082],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989724,0.00006211776,0.00036831596,0.00019735622,0.00020609541,0.00019367487],"domain_scores_gemma":[0.9987358,0.00024278462,0.00009993667,0.0007456238,0.000074014984,0.0001018803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040047098,0.00013803499,0.0002398789,0.0008602631,0.00015393762,0.000009264184,0.00021217582,0.00010427228,0.0000040114237],"category_scores_gemma":[0.00013809426,0.00013469432,0.00006303971,0.001749651,0.0001955273,0.00003958097,0.000083147184,0.00038340184,0.0000026769671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007754355,0.0023208938,0.03424629,0.0005947837,0.0001433722,0.000016840362,0.0012424755,0.0054644346,0.52747744,0.0014427433,0.000030153135,0.426943],"study_design_scores_gemma":[0.0005657385,0.000074454896,0.20224296,0.00037376475,0.000056548688,0.000020032105,0.00013773033,0.79135007,0.003697358,0.000021151978,0.0013342635,0.00012592615],"about_ca_topic_score_codex":0.000050692543,"about_ca_topic_score_gemma":0.0000015031634,"teacher_disagreement_score":0.78588563,"about_ca_system_score_codex":0.000074416115,"about_ca_system_score_gemma":0.000039818133,"threshold_uncertainty_score":0.5492675},"labels":[],"label_agreement":null},{"id":"W4319261840","doi":"","title":"Electro-magnetic radiation of terahertz range, NO molecular specter frequencies, and coagulation hemostasis in patients with various angina forms","year":2006,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hemostasis; Terahertz radiation; Coagulation; Range (aeronautics); Medicine; Radiation; Materials science; Physics; Optoelectronics; Optics; Internal medicine; Composite material","score_opus":0.03292759807316388,"score_gpt":0.4028475447499933,"score_spread":0.3699199466768294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319261840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861038,0.009511944,0.00023940626,0.0000770503,0.0000874597,0.0010439135,0.000023276643,0.000018569057,0.0028946223],"genre_scores_gemma":[0.9980682,0.0007329253,0.0007040278,0.00022134703,0.000066017274,0.000024869094,0.000089305264,0.00004794915,0.000045375193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977092,0.00011122095,0.00076370925,0.00030977564,0.00076663797,0.0003394296],"domain_scores_gemma":[0.9983773,0.000090394395,0.00060103694,0.00034610755,0.00046332672,0.000121783116],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000512717,0.00027612408,0.0007288062,0.001115718,0.00006353505,0.000114307964,0.000370821,0.000115452254,0.0010458332],"category_scores_gemma":[0.00011723236,0.00021801329,0.00008611866,0.001135816,0.00015755768,0.000773065,0.000077379926,0.00029376752,0.000001487562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008916087,0.00033293603,0.9144295,0.00012791496,0.00009865943,0.0000431703,0.00013626892,0.00003277932,0.06934002,0.000048630583,0.0009093714,0.013609129],"study_design_scores_gemma":[0.0041490486,0.00022719975,0.97289,0.0005026023,0.00017586495,0.000015214996,0.000014289743,0.00006698764,0.019755876,0.0015803836,0.00039599146,0.0002264937],"about_ca_topic_score_codex":0.001093696,"about_ca_topic_score_gemma":0.000031569696,"teacher_disagreement_score":0.058460534,"about_ca_system_score_codex":0.0001417394,"about_ca_system_score_gemma":0.00009452145,"threshold_uncertainty_score":0.9998673},"labels":[],"label_agreement":null},{"id":"W4320736888","doi":"10.2139/ssrn.4346776","title":"Corneal Confocal Microscopy Based Deep Learning Algorithms Demonstrate Excellent Diagnostic Accuracy in Identifying Patients with Dementia, Multiple Sclerosis and Parkinson's Disease","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Confocal microscopy; Multiple sclerosis; Dementia; Parkinson's disease; Disease; Artificial intelligence; Computer science; Medicine; Neuroscience; Algorithm; Psychology; Pathology; Optics; Physics; Psychiatry","score_opus":0.020068097258986648,"score_gpt":0.26118126546954484,"score_spread":0.2411131682105582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320736888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665377,0.010472887,0.020475587,0.00031433336,0.0005701042,0.0014563085,0.00004126366,0.000120635304,0.000011144321],"genre_scores_gemma":[0.9824155,0.015151347,0.0012143564,0.00015193936,0.00030193027,0.00014157279,0.00041789096,0.00016873154,0.000036724487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99393797,0.00038012452,0.0009476451,0.0008903981,0.0010014347,0.0028423993],"domain_scores_gemma":[0.99689,0.001006118,0.00077369,0.00042747738,0.00031312098,0.0005895726],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019283801,0.00069037377,0.00088645925,0.0008292598,0.00037567774,0.00018161206,0.0003454282,0.00030904316,0.000040313796],"category_scores_gemma":[0.001458444,0.0006094793,0.00022237563,0.0004266516,0.0002739001,0.00015306585,0.00025412644,0.0075429683,0.0000113487595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014165619,0.00039156765,0.97032505,0.0004011948,0.0008574183,0.00029954503,0.00027866493,0.00096955016,0.0003051383,0.000022100847,0.000016104806,0.024717085],"study_design_scores_gemma":[0.014780265,0.0013437232,0.9630723,0.005767872,0.001618397,0.00007135918,0.0012072944,0.008757677,0.0001902626,0.0023204968,0.0000864766,0.0007838879],"about_ca_topic_score_codex":0.00025784152,"about_ca_topic_score_gemma":0.00061384717,"teacher_disagreement_score":0.023933196,"about_ca_system_score_codex":0.001016133,"about_ca_system_score_gemma":0.0027698106,"threshold_uncertainty_score":0.99963564},"labels":[],"label_agreement":null},{"id":"W4360985116","doi":"10.3389/fnins.2023.1115242","title":"Quantitative thermal testing as a screening and follow-up tool for diabetic sensorimotor polyneuropathy in patients with type 2 diabetes and prediabetes","year":2023,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan; Chang Gung Medical Foundation; Chang Gung Memorial Hospital","keywords":"Medicine; Prediabetes; Polyneuropathy; Diabetes mellitus; Internal medicine; Foot (prosody); Type 2 diabetes; Surgery","score_opus":0.017193057947851118,"score_gpt":0.24595437039115736,"score_spread":0.22876131244330625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360985116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99788666,0.0001751975,0.00009028992,0.0000939336,0.0006185033,0.0010069538,0.000016924645,0.000072611125,0.000038923296],"genre_scores_gemma":[0.9899298,0.000018249424,0.009428411,0.00045185038,0.000029582065,0.000056925262,0.000007077464,0.000035923407,0.000042156986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982842,0.00007836194,0.00024573453,0.0005258911,0.00032584855,0.0005399303],"domain_scores_gemma":[0.999112,0.00040304186,0.0000893442,0.00018373542,0.00010236097,0.000109521134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042557894,0.00019843814,0.00034907783,0.00053880917,0.00010966328,0.00003396048,0.00011194123,0.000052547177,7.249567e-7],"category_scores_gemma":[0.0031613056,0.0001625718,0.000022380624,0.0016002211,0.00045455512,0.00019854352,0.00006975829,0.00021722025,4.7275464e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032321012,0.0000351149,0.98045576,0.000091066184,0.0000056033227,0.000021832784,0.0005315248,0.00002165395,0.013994219,0.000006625603,0.00007240509,0.004441003],"study_design_scores_gemma":[0.00328708,0.0029397423,0.9798513,0.00034582152,0.000030988536,0.0000011996077,0.00021590973,0.012352829,0.00070833095,0.000076788514,0.000019606492,0.0001704151],"about_ca_topic_score_codex":0.0000042681595,"about_ca_topic_score_gemma":3.5914454e-7,"teacher_disagreement_score":0.013285887,"about_ca_system_score_codex":0.000018277233,"about_ca_system_score_gemma":0.000047089103,"threshold_uncertainty_score":0.66294855},"labels":[],"label_agreement":null},{"id":"W4362625054","doi":"10.3389/fped.2023.1083962","title":"Hemodynamic assessment in children after cardiac surgery: A pilot study on the value of infrared thermography","year":2023,"lang":"en","type":"article","venue":"Frontiers in Pediatrics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Thermography; Cardiac surgery; Cardiopulmonary bypass; Anesthesia; Cardiology; Concomitant; Surgery; Infrared","score_opus":0.010230347244498684,"score_gpt":0.2526730670878728,"score_spread":0.24244271984337412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362625054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942206,0.00072687987,0.00008526875,0.0003333282,0.0012302649,0.0022549531,0.00010046004,0.00009190156,0.00095633924],"genre_scores_gemma":[0.99783856,0.0006386394,0.00042957126,0.00025427583,0.00027060986,0.00037248654,0.00008161135,0.00006361734,0.000050629482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99684775,0.00048321643,0.0007416579,0.00043932575,0.00094438257,0.00054364046],"domain_scores_gemma":[0.99826914,0.0005096976,0.00020125938,0.00084126415,0.000077722674,0.00010090602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002417116,0.00031577656,0.000892926,0.0027683845,0.000046279278,0.000012619659,0.00028076847,0.00011201612,0.000021757261],"category_scores_gemma":[0.0002659607,0.00023214136,0.00026079814,0.005319008,0.00015929481,0.000059166807,0.00009145628,0.0008006836,0.0000055007486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042049325,0.00090114796,0.9825089,0.00005310363,0.00019482897,0.00007489559,0.000986679,0.000032457192,0.000022318221,0.000039255312,0.013986342,0.00077956537],"study_design_scores_gemma":[0.0012746574,0.0011155932,0.9939353,0.00008123028,0.00021624171,0.000002161193,0.0020893042,0.0002520925,0.000008448901,0.000787883,0.000033887285,0.00020320882],"about_ca_topic_score_codex":0.0001110276,"about_ca_topic_score_gemma":0.0000037015864,"teacher_disagreement_score":0.013952455,"about_ca_system_score_codex":0.00015576034,"about_ca_system_score_gemma":0.00021827203,"threshold_uncertainty_score":0.946645},"labels":[],"label_agreement":null},{"id":"W4366999328","doi":"10.48550/arxiv.2304.11291","title":"VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouette","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Silhouette; Convolutional neural network; Concatenation (mathematics); Computer vision; Feature (linguistics); Matching (statistics); Thermal infrared; Pattern recognition (psychology); Infrared; Task (project management); Pixel; Mathematics; Optics","score_opus":0.07689321091618172,"score_gpt":0.2408746804893473,"score_spread":0.16398146957316556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366999328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865241,0.00008989087,0.0063213706,0.000105375984,0.00047582987,0.0009570941,0.0000919194,0.0004654637,0.004968971],"genre_scores_gemma":[0.99547744,0.000092117036,0.0004668304,0.00014396054,0.000210377,0.0000036184551,0.0003708969,0.00010114133,0.0031336138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99752325,0.00018306372,0.0005782693,0.00093970686,0.00029747252,0.0004782386],"domain_scores_gemma":[0.9970361,0.00014565876,0.0006313085,0.0015973226,0.00031792038,0.00027171994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004936163,0.0005121261,0.0009823797,0.0009339314,0.00014246709,0.000025787496,0.0006077842,0.00062950834,0.00032038524],"category_scores_gemma":[0.00010553198,0.00055338757,0.0004895584,0.0009914133,0.00044132624,0.00017497751,0.00065942726,0.001158198,0.00009039781],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004343745,0.002673336,0.4264389,0.012163503,0.0074225706,0.0058530793,0.0071488926,0.45134956,0.028378695,0.04285788,0.006478897,0.0048909374],"study_design_scores_gemma":[0.012764132,0.0021095232,0.6721582,0.0076883123,0.005287032,0.00003580136,0.0017120752,0.21423408,0.007226714,0.0742072,0.00019252469,0.0023843967],"about_ca_topic_score_codex":0.00030261007,"about_ca_topic_score_gemma":0.00002013635,"teacher_disagreement_score":0.2457193,"about_ca_system_score_codex":0.00023408311,"about_ca_system_score_gemma":0.00019864533,"threshold_uncertainty_score":0.9996918},"labels":[],"label_agreement":null},{"id":"W4367024154","doi":"10.5114/for.2022.126060","title":"The study of the relationship between the profile convexity angle and the ANB angle value among people with skeletal class I and II","year":2022,"lang":"en","type":"article","venue":"Orthodontic Forum","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convexity; Class (philosophy); Value (mathematics); Orthodontics; Demography; Mathematics; Medicine; Sociology; Computer science; Statistics; Artificial intelligence; Economics","score_opus":0.01541131281759779,"score_gpt":0.2512884402608364,"score_spread":0.23587712744323863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367024154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98523784,0.00058812054,0.00003833985,0.009724772,0.0001522405,0.002903024,0.000027464273,0.000028985376,0.0012992317],"genre_scores_gemma":[0.99848783,0.000007850121,0.000056085784,0.00029429316,0.00007715372,0.00028569775,0.000011317362,0.000028912347,0.0007508861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99744374,0.00092408905,0.00035819074,0.00025575634,0.0006896755,0.00032855937],"domain_scores_gemma":[0.99677145,0.0019620534,0.00028088596,0.0008365143,0.00008404912,0.00006501994],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0025347085,0.00018525243,0.0003672029,0.000053433534,0.0024946905,0.000026888049,0.00031592918,0.00004865672,0.000029213285],"category_scores_gemma":[0.000554851,0.000070825474,0.00009340561,0.0006603864,0.0013604179,0.00006094995,0.00044470737,0.0006203625,4.082581e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002543097,0.00010383817,0.98687065,0.000026792166,0.00018140124,0.0000033463837,0.00722593,0.000006483769,0.000007890854,0.0040113125,0.0007829287,0.0005251023],"study_design_scores_gemma":[0.0037096073,0.0012956894,0.9668906,0.00003969036,0.00052768906,0.00004382987,0.025316374,0.00023616487,0.00001322464,0.00088978384,0.000946916,0.00009043507],"about_ca_topic_score_codex":0.00040427787,"about_ca_topic_score_gemma":0.0005551603,"teacher_disagreement_score":0.01998007,"about_ca_system_score_codex":0.000028051974,"about_ca_system_score_gemma":0.00008052258,"threshold_uncertainty_score":0.9988039},"labels":[],"label_agreement":null},{"id":"W4375867650","doi":"10.1117/12.2663835","title":"Optimal thermomic biomarkers for early diagnosis of breast cancer","year":2023,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Breast cancer; Mammography; Computer science; Breast cancer screening; Artificial intelligence; Pattern recognition (psychology); Cancer; Medicine; Internal medicine","score_opus":0.017508391858236688,"score_gpt":0.29966278094585225,"score_spread":0.2821543890876156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375867650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99281573,0.00016560845,0.000106493426,0.003338718,0.00025403954,0.00067579653,0.00017936884,0.00016613115,0.0022980853],"genre_scores_gemma":[0.9964501,0.00024268236,0.0011222821,0.00038578457,0.00021031339,0.0004226199,0.000029651997,0.00004072343,0.0010957867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905807,0.000014400903,0.00024280972,0.0001873319,0.00021685536,0.00028052065],"domain_scores_gemma":[0.99925435,0.00018403126,0.000067641304,0.00025039786,0.00014258978,0.00010098105],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024331249,0.0001245094,0.0002900005,0.0002838571,0.000033938366,0.000003658078,0.000098424665,0.00008062931,0.0015673626],"category_scores_gemma":[0.000046381454,0.00009097161,0.00017857585,0.00060652086,0.00013827001,0.000037776037,0.000023398356,0.00006970176,0.000022544675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018700982,0.00019079112,0.8167933,0.0005157231,0.0015023685,0.00003579739,0.0012437513,0.0000308861,0.05618701,0.0003927776,0.06357223,0.05766525],"study_design_scores_gemma":[0.0030604578,0.00040404222,0.97607136,0.00028605608,0.00027401984,0.000019727371,0.00040916548,0.0004882819,0.01772991,0.000070263195,0.0010476375,0.0001390898],"about_ca_topic_score_codex":0.00036774197,"about_ca_topic_score_gemma":0.000005338655,"teacher_disagreement_score":0.15927804,"about_ca_system_score_codex":0.00002888403,"about_ca_system_score_gemma":0.000063418585,"threshold_uncertainty_score":0.99934536},"labels":[],"label_agreement":null},{"id":"W4377832609","doi":"10.18280/ts.400237","title":"Artificial Intelligence (AI) Powered Precise Classification of Recuperation Exercises for Musculoskeletal Disorders","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Physical medicine and rehabilitation; Computer science; Machine learning; Medicine","score_opus":0.038640750577672876,"score_gpt":0.33085958428390133,"score_spread":0.2922188337062285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377832609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9275407,0.00008271642,0.06572323,0.0030784116,0.00036286746,0.0022519806,0.000060289192,0.00019715814,0.00070263515],"genre_scores_gemma":[0.9975368,0.000103937564,0.0011572145,0.000094278636,0.0002696858,0.00029352264,0.00045499037,0.000029698043,0.000059897295],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99833554,0.000046824356,0.00061553915,0.0002919039,0.00044314223,0.00026703483],"domain_scores_gemma":[0.9991675,0.00016096719,0.00013759277,0.00023037221,0.00021367309,0.000089880006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005876988,0.00016918474,0.00028718685,0.00035659457,0.00009196627,0.000012365869,0.000111530186,0.00009645627,0.00042421732],"category_scores_gemma":[0.00015478104,0.00015082708,0.00021150937,0.00060336455,0.00015684018,0.000110201756,0.000014704781,0.000118800446,0.000023859893],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022713118,0.0008086997,0.0040949513,0.00069214683,0.00021041695,0.0000057197367,0.0028219824,0.00029055873,0.44159868,0.013943265,0.00305223,0.53021],"study_design_scores_gemma":[0.0062897555,0.013703758,0.37928298,0.0017812774,0.0023476423,0.000026668758,0.01269517,0.13025568,0.370172,0.07358642,0.008071428,0.0017872005],"about_ca_topic_score_codex":0.000008306151,"about_ca_topic_score_gemma":0.000010239403,"teacher_disagreement_score":0.52842283,"about_ca_system_score_codex":0.000042650372,"about_ca_system_score_gemma":0.00007004374,"threshold_uncertainty_score":0.615055},"labels":[],"label_agreement":null},{"id":"W4378648837","doi":"10.1152/physiol.2023.38.s1.5730423","title":"Effect of coronary artery disease on myocardial blood flow during passive heat stress","year":2023,"lang":"en","type":"article","venue":"Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Medicine; Cardiology; Coronary artery disease; Internal medicine; Blood flow; Rate pressure product; Coronary flow reserve; Blood pressure; Coronary circulation; Heart rate; Coronary arteries; Hemodynamics; Stress testing (software); Artery","score_opus":0.0053696288499373085,"score_gpt":0.2494110735661225,"score_spread":0.2440414447161852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378648837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99811953,0.00010693019,8.0749777e-7,0.00024897736,0.000559164,0.00045129392,0.00009101903,0.00014072472,0.00028157432],"genre_scores_gemma":[0.9985692,0.0000785111,0.0000074431405,0.00022612898,0.00069994415,0.00008688827,0.00024843166,0.000031852338,0.00005163722],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99871224,0.00020460758,0.0002136453,0.00030730243,0.0002188171,0.00034335724],"domain_scores_gemma":[0.9989065,0.00037960452,0.00004849221,0.0004534541,0.000040074403,0.00017188632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102177924,0.00019753279,0.0005391808,0.00022089978,0.00005413923,0.000001407696,0.00009596253,0.0000722284,0.00010241644],"category_scores_gemma":[0.00015080589,0.00014903255,0.00022214463,0.00027198158,0.00020923595,0.000023291044,0.000057879763,0.00023194097,0.000079148966],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008853321,0.00031227706,0.031963047,0.0011889152,0.00091401435,0.0019354706,0.00039810027,0.0006863773,0.95090044,0.000040257597,0.0008012115,0.002006549],"study_design_scores_gemma":[0.0049076187,0.0034377296,0.901543,0.00038666165,0.00048390077,0.000040276052,0.00004885241,0.00023893864,0.08860519,0.0001508428,0.000016211166,0.00014076989],"about_ca_topic_score_codex":0.000003847551,"about_ca_topic_score_gemma":2.2728672e-7,"teacher_disagreement_score":0.86958,"about_ca_system_score_codex":0.000017309825,"about_ca_system_score_gemma":0.000032981796,"threshold_uncertainty_score":0.6077371},"labels":[],"label_agreement":null},{"id":"W4379054197","doi":"10.1038/s41598-023-36030-6","title":"Electromagnetic deactivation spectroscopy of human coronavirus 229E","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Queen's University; Government of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Spectroscopy; Coronavirus; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Chemistry; Physics; Biology; Medicine; Infectious disease (medical specialty); Pathology","score_opus":0.0249353361528463,"score_gpt":0.32193734176974703,"score_spread":0.2970020056169007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379054197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870963,0.00008824448,0.000023245431,0.00016299661,0.0022859587,0.0004280942,0.0000011301048,0.00020674315,0.009707282],"genre_scores_gemma":[0.9947616,0.000006224258,0.00046495383,0.000042321233,0.00012763053,0.000019651197,0.00017373219,0.000024172095,0.0043797386],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977319,0.000029882334,0.0005720703,0.00047794578,0.00083009276,0.0003580849],"domain_scores_gemma":[0.9984456,0.000032261116,0.0003269923,0.0008582178,0.00022175036,0.0001151912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012966613,0.00012961988,0.00029779001,0.00060719997,0.00017523543,0.00002591881,0.0000781036,0.000068813235,0.0004420627],"category_scores_gemma":[0.00020606663,0.00011417877,0.00011669022,0.0017820552,0.00036815446,0.00007530592,0.000031645002,0.00017034794,0.000043711905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022621247,0.00006315454,0.020496491,0.000056157485,0.000026715541,0.00045859886,0.00026083353,0.0000013421735,0.9681625,0.00014943989,0.009542762,0.000759383],"study_design_scores_gemma":[0.00038535183,0.00052567176,0.16434585,0.00013406307,0.000079797144,0.00034133016,0.000100345096,0.000028903543,0.81782246,0.013143098,0.0029778152,0.00011532829],"about_ca_topic_score_codex":0.000034550045,"about_ca_topic_score_gemma":0.000004433499,"teacher_disagreement_score":0.15034005,"about_ca_system_score_codex":0.000056667843,"about_ca_system_score_gemma":0.00014259409,"threshold_uncertainty_score":0.48402765},"labels":[],"label_agreement":null},{"id":"W4379145182","doi":"10.56726/irjmets40512","title":"Intensive Operational knee osteoarthritis detection model using Deep Learning","year":2023,"lang":"en","type":"article","venue":"International Research Journal of Modernization in Engineering Technology and Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Osteoarthritis; Deep learning; Computer science; Artificial intelligence; Physical medicine and rehabilitation; Medicine; Alternative medicine","score_opus":0.033229968577309116,"score_gpt":0.3459013853595666,"score_spread":0.3126714167822575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379145182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88255733,0.0001557107,0.11573446,0.0011593546,0.0001998197,0.00009104535,6.1031534e-7,0.00004206033,0.000059636233],"genre_scores_gemma":[0.99587786,0.00014994646,0.0038258783,0.00002456353,0.000065230226,0.0000056066574,0.0000017551235,0.000009951733,0.00003923557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846524,0.00002049399,0.00029459572,0.00015420288,0.00083381124,0.00023167196],"domain_scores_gemma":[0.9972858,0.000090838046,0.00007010947,0.000075274256,0.0024069587,0.00007103093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017293197,0.0000682134,0.00012919652,0.005645366,0.0001416241,0.000033934008,0.00019509194,0.000094940435,0.000008141066],"category_scores_gemma":[0.005102239,0.00006513044,0.000021760085,0.0026986527,0.00040432223,0.00033594618,0.000106620646,0.0007746997,0.000001981216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000784446,0.00001744229,0.01873251,0.000016157628,0.000020102374,0.000087807326,0.00055374077,0.6672483,0.29246232,0.0037737782,0.000004567507,0.017004836],"study_design_scores_gemma":[0.00063556555,0.00024829924,0.006031245,0.00023422473,0.0000039017978,0.00062819966,0.00046116213,0.9824001,0.0062585063,0.0030136853,0.00003445926,0.00005065189],"about_ca_topic_score_codex":0.0000023923653,"about_ca_topic_score_gemma":9.333837e-7,"teacher_disagreement_score":0.3151518,"about_ca_system_score_codex":0.0001912231,"about_ca_system_score_gemma":0.00018255276,"threshold_uncertainty_score":0.6108225},"labels":[],"label_agreement":null},{"id":"W4380795678","doi":"10.1161/circ.146.suppl_1.14532","title":"Abstract 14532: Myocardial Blood Flow in Patients Recovered From COVID-19 Infection Using Stress Cardiac Magnetic Resonance","year":2022,"lang":"en","type":"article","venue":"Circulation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Medicine; Perfusion; Internal medicine; Cardiology; Myocardial perfusion imaging; Palpitations; Population; Magnetic resonance imaging; Chest pain; Coronavirus disease 2019 (COVID-19); Radiology","score_opus":0.01718838039515015,"score_gpt":0.2560807470624171,"score_spread":0.238892366667267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380795678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960443,0.0009241569,0.00009697879,0.000060076745,0.001193646,0.0007933162,0.0004221758,0.00007381683,0.0003915761],"genre_scores_gemma":[0.99731374,0.000033092296,0.00024833909,0.00034947536,0.0003678343,0.000056648285,0.001592169,0.000033838704,0.000004838056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981676,0.00019613454,0.0004016262,0.000373907,0.0006183931,0.00024239345],"domain_scores_gemma":[0.9991779,0.000101087186,0.00015254246,0.0003569719,0.000078481826,0.00013303818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035748704,0.00016416072,0.0003184173,0.00033627902,0.0001889722,0.000014352636,0.000061217135,0.00010713651,0.00057962706],"category_scores_gemma":[0.0003114383,0.00019314463,0.00013962868,0.0005979067,0.0000438953,0.00011888822,0.000041621828,0.00037970865,0.0000053555777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026563118,0.0002161395,0.9701541,0.000046704066,0.00004498556,0.000025057281,0.00076906075,0.013198573,0.004670832,0.00000598514,0.0000858858,0.010517026],"study_design_scores_gemma":[0.004059329,0.00015006968,0.9908739,0.000078880956,0.00018445011,0.0000037704465,0.00008311095,0.003044193,0.0000911436,0.00025376087,0.0010051201,0.00017230622],"about_ca_topic_score_codex":0.0017117176,"about_ca_topic_score_gemma":0.000016664695,"teacher_disagreement_score":0.020719746,"about_ca_system_score_codex":0.00060172967,"about_ca_system_score_gemma":0.00017766269,"threshold_uncertainty_score":0.7876209},"labels":[],"label_agreement":null},{"id":"W4381196479","doi":"10.1109/icetet-sip58143.2023.10151532","title":"Rheumatoid Arthritis Classification using Thermal Imaging","year":2023,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Rheumatoid arthritis; Arthritis; Medicine; Thermography; Artificial intelligence; Computer science; Computer vision; Pattern recognition (psychology); Internal medicine","score_opus":0.033331330764305445,"score_gpt":0.2997966421876102,"score_spread":0.26646531142330476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381196479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96549463,0.0003823524,0.0009351136,0.0018408217,0.00029948482,0.00023773481,0.0000021641952,0.00062622485,0.030181462],"genre_scores_gemma":[0.9966885,0.00034686984,0.0016542887,0.0007223068,0.00017684406,0.000011705293,0.000039268507,0.00003317224,0.0003270793],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989841,0.00002668298,0.00023758023,0.00019414487,0.00027930082,0.00027821746],"domain_scores_gemma":[0.9994227,0.000042920085,0.00005171615,0.00030085936,0.00008462784,0.000097152166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029988217,0.00010936554,0.00018161473,0.00029775687,0.00009375259,0.000014031138,0.00006206195,0.000044781053,0.0006679943],"category_scores_gemma":[0.00007171359,0.00009191434,0.00007694133,0.00066437176,0.000100387,0.000087649074,0.000024388246,0.00014820024,0.00027142838],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006849747,0.00006090526,0.14506064,0.000047043224,0.00007777392,0.00022820725,0.0008930253,0.000026542031,0.7084238,0.0029296302,0.0057461327,0.1364378],"study_design_scores_gemma":[0.0054791006,0.0001458656,0.82665133,0.0011964171,0.00006429107,0.00090693915,0.0053277737,0.12530315,0.022859197,0.0010817102,0.010422903,0.0005613086],"about_ca_topic_score_codex":0.000038384493,"about_ca_topic_score_gemma":9.446318e-7,"teacher_disagreement_score":0.6855646,"about_ca_system_score_codex":0.000035105895,"about_ca_system_score_gemma":0.000051333307,"threshold_uncertainty_score":0.7314069},"labels":[],"label_agreement":null},{"id":"W4381308151","doi":"10.2147/jpr.s411923","title":"Skin Temperature of Acupoints in Health and Primary Dysmenorrhea Patients: A Systematic Review and Meta-Analysis","year":2023,"lang":"en","type":"review","venue":"Journal of Pain Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; Checklist; Skin temperature; Meta-analysis; Internal medicine; Significant difference; Mean difference; Physical therapy; Confidence interval; Dermatology","score_opus":0.17313787553062598,"score_gpt":0.4798883913724541,"score_spread":0.3067505158418281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381308151","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000033194538,0.9948008,0.0000022118538,0.0010343246,0.00002067818,0.0040082475,0.00006178597,0.000004807677,0.00003396187],"genre_scores_gemma":[0.000013323122,0.998372,0.00026215668,0.00070931145,0.000050174545,0.000116635674,0.000064436856,0.000054400534,0.00035752964],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9840648,0.0090953205,0.0038755552,0.0003501078,0.0021373187,0.00047685995],"domain_scores_gemma":[0.99205095,0.003365576,0.0022047437,0.00064953754,0.0012465273,0.00048265717],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.048923906,0.00039429957,0.014534317,0.004285058,0.00006089448,0.000025765798,0.00034011825,0.00027702647,0.00007704722],"category_scores_gemma":[0.007840749,0.00021130263,0.0017067865,0.0051211156,0.00022394887,0.00007075733,0.00014111835,0.0024771465,0.0000021738806],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020784819,0.00013274931,0.00005744783,0.93065166,0.06414087,0.00012551836,0.00023124204,3.1323115e-8,1.2899723e-7,0.0000055732235,0.0020816268,0.002552331],"study_design_scores_gemma":[0.0006941498,0.0016952432,0.00010736648,0.60049844,0.39009228,0.00019068173,0.00027353773,0.0000011646536,6.74131e-8,0.00003708407,0.0062364973,0.00017350579],"about_ca_topic_score_codex":0.000036884165,"about_ca_topic_score_gemma":0.0000071505297,"teacher_disagreement_score":0.33015326,"about_ca_system_score_codex":0.00031603922,"about_ca_system_score_gemma":0.0011208403,"threshold_uncertainty_score":0.99982417},"labels":[],"label_agreement":null},{"id":"W4382793167","doi":"10.1016/j.ultras.2023.107100","title":"Real-time monitoring of focused ultrasound therapy using intelligence-based thermography: A feasibility study","year":2023,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermography; Ultrasound; Breast ultrasound; Breast cancer; Artificial neural network; Computer science; Biomedical engineering; Artificial intelligence; Materials science; Mammography; Medicine; Radiology; Cancer; Optics; Infrared","score_opus":0.07498894747297792,"score_gpt":0.34788319194219386,"score_spread":0.27289424446921595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382793167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962227,0.00023106586,0.00020667701,0.000049678456,0.00033841413,0.0019222271,0.00003138046,0.0004883552,0.00050949835],"genre_scores_gemma":[0.99489236,0.00047007017,0.0041867206,0.000032261687,0.00021504243,0.00004073532,0.00003026803,0.000094339084,0.00003823352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996853,0.0002469944,0.00077825156,0.00057429884,0.0009327428,0.0006147068],"domain_scores_gemma":[0.99688274,0.0010691084,0.00028462408,0.0011831048,0.00036380606,0.0002166354],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015062984,0.00039462262,0.0008004347,0.00067211484,0.00015521787,0.000022740069,0.00033657826,0.00019108319,0.00021526025],"category_scores_gemma":[0.00051433896,0.00032887934,0.0003984137,0.0028611543,0.0003241655,0.00008470511,0.000025713201,0.00042901316,0.000023880664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006011397,0.0010029258,0.70009214,0.00007429583,0.00032426973,0.000049002338,0.0022286486,0.00025496943,0.29179356,0.000014422276,0.00002340491,0.0035412426],"study_design_scores_gemma":[0.004448761,0.0033288181,0.8595375,0.00052551914,0.00038195614,0.000027727137,0.0054620495,0.0015167311,0.123763,0.00048327332,0.00003293609,0.0004917635],"about_ca_topic_score_codex":0.00022294374,"about_ca_topic_score_gemma":0.0000024766537,"teacher_disagreement_score":0.16803055,"about_ca_system_score_codex":0.00012839059,"about_ca_system_score_gemma":0.00027982733,"threshold_uncertainty_score":0.9999163},"labels":[],"label_agreement":null},{"id":"W4383597058","doi":"10.1590/1517-8692202430012022_0020i","title":"AI BASED MOTION ANALYSIS SOFTWARE FOR SPORT AND PHYSICAL THERAPY ASSESSMENT","year":2023,"lang":"en","type":"article","venue":"Revista Brasileira de Medicina do Esporte","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Software; Computer science; Artificial intelligence","score_opus":0.020511839804729738,"score_gpt":0.33907855547608023,"score_spread":0.3185667156713505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383597058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581538,0.0005721538,0.03757571,0.0014303367,0.00012163192,0.0014827377,0.00004407409,0.00044852172,0.0001710567],"genre_scores_gemma":[0.99098134,0.00018209274,0.0033238407,0.0033151433,0.0007156534,0.00023250245,0.0009084716,0.00008485661,0.000256081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99725044,0.0000465318,0.0005845334,0.0006769739,0.0008294446,0.0006120556],"domain_scores_gemma":[0.99791497,0.00025657497,0.00025893946,0.00077213795,0.0003645137,0.00043285757],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016292917,0.0004041344,0.0012379532,0.0010373917,0.00016019504,0.000047474834,0.00016848466,0.00017210384,0.00022603219],"category_scores_gemma":[0.0002128311,0.00031765125,0.00048356503,0.0028534718,0.0002493464,0.00008885877,0.000027058015,0.0004230213,0.000010906556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034496994,0.0002331266,0.9707915,0.00047291364,0.0008848003,0.00025592884,0.0004377969,0.000037160724,0.0012395954,0.0006878352,0.0035932458,0.021021094],"study_design_scores_gemma":[0.00407699,0.0007469438,0.97524214,0.00036229665,0.0024761404,0.000030126128,0.00032964314,0.011510852,0.00021006422,0.00015855832,0.0045656194,0.00029061077],"about_ca_topic_score_codex":0.000020757621,"about_ca_topic_score_gemma":0.0000011196613,"teacher_disagreement_score":0.03425187,"about_ca_system_score_codex":0.00015423523,"about_ca_system_score_gemma":0.00036249845,"threshold_uncertainty_score":0.9999276},"labels":[],"label_agreement":null},{"id":"W4383959989","doi":"10.1123/jsr.2022-0390","title":"Infrared Thermography—A Novel Tool for Monitoring Fracture Healing: A Critically Appraised Topic With Evidence-Based Recommendations for Clinical Practice","year":2023,"lang":"en","type":"article","venue":"Journal of Sport Rehabilitation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre de réadaptation Lethbridge-Layton-Mackay; Concordia University","funders":"","keywords":"Thermography; Medicine; Rehabilitation; Critically ill; Athletes; Physical therapy; Physical medicine and rehabilitation; Intensive care medicine; Medical physics","score_opus":0.08151017282791437,"score_gpt":0.43480564454553455,"score_spread":0.3532954717176202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383959989","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72906053,0.0005299205,0.12660436,0.13841668,0.0016459059,0.0034710895,0.000026277492,0.00013516536,0.0001100736],"genre_scores_gemma":[0.4963789,0.00012527072,0.4988016,0.0026410043,0.0016522042,0.0002297598,0.000058621936,0.00005160914,0.00006105424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973443,0.000045267545,0.0014261666,0.00026637406,0.00062442216,0.000293465],"domain_scores_gemma":[0.98759615,0.007267681,0.00083225523,0.0003287342,0.0037875338,0.00018761601],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00451883,0.0001915264,0.0005808361,0.00057396793,0.00013979973,0.000033015855,0.00013783085,0.00019093046,0.000018139344],"category_scores_gemma":[0.013626256,0.00014351652,0.00050309836,0.0007687278,0.00015196916,0.0005652686,0.000007999292,0.00047799468,8.5112674e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.033181436,0.0031584762,0.874986,0.0032871072,0.0013350172,0.00008609519,0.0047526066,0.0009687955,0.004558271,0.0019963318,0.027723897,0.043965988],"study_design_scores_gemma":[0.013551666,0.017958077,0.84684646,0.0051424457,0.0015193254,0.00010841493,0.0055234777,0.0007838305,0.00041901728,0.0019585716,0.10583589,0.0003528136],"about_ca_topic_score_codex":0.0000025484023,"about_ca_topic_score_gemma":2.668906e-7,"teacher_disagreement_score":0.3721972,"about_ca_system_score_codex":0.00008845757,"about_ca_system_score_gemma":0.0005394521,"threshold_uncertainty_score":0.9946824},"labels":[],"label_agreement":null},{"id":"W4385251130","doi":"10.4274/forbes.galenos.2023.29494","title":"Investigation of the Relationship Between Isokinetic Muscle Strength and Functional Performance in Patients with Knee Osteoarthritis","year":2023,"lang":"en","type":"article","venue":"Forbes Journal of Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Osteoarthritis; Muscle strength; Physical medicine and rehabilitation; Medicine; Isokinetic Exercise; Physical therapy; Pathology; Alternative medicine","score_opus":0.02348583397876224,"score_gpt":0.23172326099230506,"score_spread":0.2082374270135428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385251130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970615,0.00023031265,0.000010857225,0.0020640576,0.00020745888,0.00025308618,0.0000051757706,0.000008658441,0.00015891703],"genre_scores_gemma":[0.99934196,0.000028190845,0.000104792576,0.00012254437,0.00030561775,0.0000031855357,0.000026261283,0.0000141174,0.000053325137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840426,0.000063932384,0.00057298806,0.000093054245,0.0007191747,0.00014661149],"domain_scores_gemma":[0.9987098,0.000389376,0.0003739226,0.00015638299,0.0002671886,0.00010336154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058330793,0.00011095908,0.00033249258,0.0005003815,0.000055619355,0.0000021449994,0.00006563891,0.000064332926,0.000035676574],"category_scores_gemma":[0.0006576933,0.00006208479,0.000038073824,0.0009420733,0.00045923848,0.00011557672,0.000020876176,0.00040156333,0.0000011055636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023062946,0.00001372221,0.9923376,0.00011539767,0.000029355648,0.000004362541,0.0007236501,0.000014114746,0.00011950367,0.00005138899,0.0002880259,0.0060722837],"study_design_scores_gemma":[0.009506112,0.003682191,0.98296684,0.0026518665,0.00014915627,0.000029362594,0.0002849486,0.000015081133,0.00011650209,0.00044116285,0.0001043166,0.000052475392],"about_ca_topic_score_codex":0.000004912485,"about_ca_topic_score_gemma":0.0000031260597,"teacher_disagreement_score":0.00937074,"about_ca_system_score_codex":0.000031282652,"about_ca_system_score_gemma":0.0000768382,"threshold_uncertainty_score":0.25317445},"labels":[],"label_agreement":null},{"id":"W4385656668","doi":"10.1109/ojim.2023.3302908","title":"Bilateral Symmetry-Based Abnormality Detection in Breast Thermograms Using Textural Features of Hot Regions","year":2023,"lang":"en","type":"article","venue":"IEEE Open Journal of Instrumentation and Measurement","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Abnormality; Artificial intelligence; Pattern recognition (psychology); Breast MRI; Histogram; Asymmetry; Breast cancer; Computer science; Feature (linguistics); Mathematics; Medicine; Physics; Internal medicine; Cancer; Image (mathematics)","score_opus":0.06681130029235084,"score_gpt":0.3270249388756314,"score_spread":0.26021363858328056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385656668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786997,0.000071091294,0.0003241152,0.00067063834,0.00040607553,0.00044085688,0.0000058291103,0.000008696382,0.00020272822],"genre_scores_gemma":[0.998817,0.00004735138,0.0007818047,0.00024890865,0.000074450545,0.000005175751,0.0000049486475,0.000012233731,0.0000081193175],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982914,0.00013730962,0.0005980224,0.00011813351,0.0006863938,0.00016879605],"domain_scores_gemma":[0.9989081,0.000019835066,0.00043844897,0.000121801386,0.0003960369,0.000115801435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001633056,0.00012637884,0.0003292062,0.000555313,0.00006743313,0.000035533194,0.000112832095,0.00005894838,0.00002249814],"category_scores_gemma":[0.000035852896,0.000095111696,0.00009471672,0.00065130566,0.00008679716,0.0002239703,0.000015758424,0.00022949034,4.90744e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037741677,0.00035582006,0.09008574,0.00025627197,0.0003373314,0.00013499602,0.0016778925,0.00023073531,0.7695658,0.000050672592,0.00019696305,0.1333336],"study_design_scores_gemma":[0.008417177,0.00079064455,0.85312426,0.0014863824,0.00020063417,0.0011164106,0.0021698035,0.00041214883,0.13194771,0.00015635035,0.000037359463,0.0001411022],"about_ca_topic_score_codex":0.000285707,"about_ca_topic_score_gemma":0.000056522906,"teacher_disagreement_score":0.7630385,"about_ca_system_score_codex":0.00017220277,"about_ca_system_score_gemma":0.00015871388,"threshold_uncertainty_score":0.38785425},"labels":[],"label_agreement":null},{"id":"W4385741446","doi":"10.3390/sports11080151","title":"Evaluation of the Training Session in Elite Paralympic Powerlifting Athletes Based on Biomechanical and Thermal Indicators","year":2023,"lang":"en","type":"article","venue":"Sports","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Asymmetry; Bench press; Athletes; Mathematics; Lift (data mining); Physics; Animal science; Materials science; Physical therapy; Medicine; Computer science; Biology; Machine learning; Resistance training","score_opus":0.03244980481147781,"score_gpt":0.3118562573015432,"score_spread":0.2794064524900654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385741446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970475,0.000106090345,0.0000042084152,0.00045577553,0.00017303445,0.00039994705,0.0000023238777,0.000040007748,0.0017711249],"genre_scores_gemma":[0.9994782,0.000011821333,0.00008723882,0.00031072053,0.000053800497,0.000017583912,0.000015839698,0.00001558183,0.0000091920165],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982603,0.00012107305,0.00027813247,0.00018436836,0.0009708804,0.00018525073],"domain_scores_gemma":[0.99942094,0.000096502015,0.00013363938,0.00024396107,0.000052118026,0.000052837902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00302024,0.000098766766,0.00019896824,0.00046530127,0.000041783096,0.0000027659235,0.00005466907,0.000088091096,0.00008925169],"category_scores_gemma":[0.00034869846,0.00006267742,0.000056210927,0.00095774664,0.00008049023,0.000019851524,0.000021547005,0.00017109602,0.0000013590472],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012192828,0.00008718473,0.3877232,0.000072540046,0.000027319833,0.00004104477,0.003493487,0.00024272798,0.06322313,0.00011948992,0.000018760249,0.5448292],"study_design_scores_gemma":[0.0015577147,0.00009935581,0.97809476,0.0013260455,0.000102895676,0.0000041445332,0.0006524964,0.014191821,0.0035162817,0.0003348648,0.000051893003,0.000067723755],"about_ca_topic_score_codex":0.000006956354,"about_ca_topic_score_gemma":0.0000011604131,"teacher_disagreement_score":0.59037155,"about_ca_system_score_codex":0.000034881312,"about_ca_system_score_gemma":0.0001389756,"threshold_uncertainty_score":0.2555911},"labels":[],"label_agreement":null},{"id":"W4385986235","doi":"10.1364/boe.500067","title":"Development and performance validation of a low-cost algorithms-based hyperspectral imaging system for radiodermatitis assessment","year":2023,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian National Institute Of Health","funders":"Beijing Institute of Technology Research Fund Program for Young Scholars; Beijing Municipal Natural Science Foundation; Beijing Institute of Technology; National Natural Science Foundation of China","keywords":"Hyperspectral imaging; Computer science; Algorithm; Artificial intelligence; Medical physics; Medicine","score_opus":0.018151848261764917,"score_gpt":0.2888631307157299,"score_spread":0.270711282453965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385986235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94733715,0.00009575807,0.049727157,0.00071487366,0.00047258532,0.001086759,0.00006476011,0.00019836641,0.0003025766],"genre_scores_gemma":[0.83572984,0.000028649993,0.16332258,0.00009557128,0.00018138732,0.00021921018,0.0003699644,0.000029605273,0.00002321733],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823475,0.000026243551,0.0005074102,0.00025277372,0.00063344045,0.00034535798],"domain_scores_gemma":[0.999081,0.00015185197,0.00014002658,0.00022815491,0.00017268186,0.00022628058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060331466,0.00017105437,0.0003734706,0.0003780906,0.00010230185,0.000016746788,0.00011079489,0.00008998031,0.000009904511],"category_scores_gemma":[0.000067347435,0.00014652831,0.000066951325,0.0003975981,0.00023463332,0.000063867665,0.000037723068,0.000136131,0.0000031556644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014712632,0.0020050316,0.04586739,0.047777846,0.001360898,0.0007573391,0.013020801,0.00034426796,0.558483,0.00409739,0.0073992433,0.31741554],"study_design_scores_gemma":[0.014439475,0.00067817565,0.03739762,0.005885839,0.00038410947,0.00018867197,0.0033027546,0.4784158,0.45147792,0.000024996325,0.0071411845,0.0006634812],"about_ca_topic_score_codex":0.0000023648097,"about_ca_topic_score_gemma":4.054198e-8,"teacher_disagreement_score":0.4780715,"about_ca_system_score_codex":0.00013080242,"about_ca_system_score_gemma":0.0002362796,"threshold_uncertainty_score":0.5975251},"labels":[],"label_agreement":null},{"id":"W4386132097","doi":"10.1109/lsens.2023.3308087","title":"Hue-Preserved Quantile-Based Global Contrast Enhancement of Breast Thermograms for Abnormality Detection","year":2023,"lang":"en","type":"article","venue":"IEEE Sensors Letters","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Hue; Abnormality; Contrast (vision); Artificial intelligence; Contrast enhancement; Pattern recognition (psychology); Computer science; Computer vision; Image enhancement; Radiology; Medicine; Image (mathematics)","score_opus":0.020739319293402638,"score_gpt":0.2842750819601955,"score_spread":0.2635357626667929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386132097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985475,0.00001700625,0.0068732174,0.0048687835,0.00085893326,0.0012718516,0.00025339547,0.00022440715,0.0001574087],"genre_scores_gemma":[0.9964838,0.000006011686,0.0005901253,0.002295902,0.00035394743,0.000062739055,0.00011838422,0.00003963788,0.00004945974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978428,0.00011387324,0.00055010186,0.0003735485,0.00055386376,0.0005658276],"domain_scores_gemma":[0.99867153,0.0001882295,0.00023185372,0.00053376047,0.00021554212,0.00015910996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006102226,0.000269016,0.00051004754,0.00016026385,0.00009602266,0.000012232266,0.00016135773,0.00013226131,0.000067870074],"category_scores_gemma":[0.00007221304,0.00023801418,0.00035378578,0.00078200107,0.00028206676,0.000058366888,0.000013911675,0.0001940006,0.0000227877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00198013,0.00016147975,0.010030491,0.00039294292,0.0003034307,0.0000635067,0.00012998523,0.00046003357,0.98150545,0.000015472906,0.0028832415,0.0020738135],"study_design_scores_gemma":[0.009694165,0.0009966267,0.17381798,0.00046199333,0.00046611807,0.00009895036,0.00030526795,0.0075728805,0.80550075,0.000081295984,0.0005540255,0.00044994606],"about_ca_topic_score_codex":0.00018117276,"about_ca_topic_score_gemma":0.000025569389,"teacher_disagreement_score":0.17600471,"about_ca_system_score_codex":0.00011345458,"about_ca_system_score_gemma":0.000048342237,"threshold_uncertainty_score":0.9705937},"labels":[],"label_agreement":null},{"id":"W4386138538","doi":"10.3389/fmed.2023.1165281","title":"Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection","year":2023,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; VoiceAge (Canada); McGill University Health Centre","funders":"","keywords":"Medicine; Wound care; Hyperspectral imaging; Checklist; Infection control; Intensive care medicine; Pathology; Radiology; Artificial intelligence; Biology","score_opus":0.07053798298324458,"score_gpt":0.33376013761879636,"score_spread":0.26322215463555176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386138538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806606,0.00012606097,0.0014341202,0.011790877,0.0021820439,0.002210138,0.00000787203,0.00018951666,0.0013987777],"genre_scores_gemma":[0.9920411,0.000109001616,0.0010017962,0.0055104303,0.00059368403,0.00014629718,0.000024438077,0.000069759306,0.0005034737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968876,0.0002597366,0.00069961994,0.0005123497,0.0010736353,0.0005670293],"domain_scores_gemma":[0.9980079,0.00046740877,0.00017798747,0.00089818396,0.00024002294,0.00020851805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015790272,0.00034658986,0.000904994,0.0019391899,0.00011896227,0.000019542747,0.00021883463,0.00010861775,0.00018134898],"category_scores_gemma":[0.0019660671,0.00022782375,0.0001215828,0.003954005,0.0004114549,0.00013778901,0.00007421628,0.00080749794,0.000028405806],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004167709,0.00034630846,0.8226332,0.00006748522,0.00026515702,0.00020084536,0.01132169,0.000048658443,0.0029217277,0.000090834175,0.15903789,0.0026494144],"study_design_scores_gemma":[0.0042270957,0.00229886,0.9682371,0.00096220383,0.00035078975,0.000034068624,0.012690285,0.000794434,0.00062840193,0.00043999782,0.009095532,0.00024123621],"about_ca_topic_score_codex":0.0005770441,"about_ca_topic_score_gemma":0.000027309641,"teacher_disagreement_score":0.14994235,"about_ca_system_score_codex":0.00025162657,"about_ca_system_score_gemma":0.00009043808,"threshold_uncertainty_score":0.9290383},"labels":[],"label_agreement":null},{"id":"W4386247232","doi":"10.1167/jov.23.9.5605","title":"Which gender do we perceive in a painful face?","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Facial expression; Psychology; Association (psychology); Categorization; Face (sociological concept); Developmental psychology; Communication; Psychotherapist; Linguistics","score_opus":0.022758568407229493,"score_gpt":0.32903467407624815,"score_spread":0.30627610566901864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386247232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880716,0.001072223,0.00009445141,0.0075211786,0.00043608737,0.0001575859,0.0000015479718,0.000026350996,0.002618978],"genre_scores_gemma":[0.99689907,0.0017459008,0.0004340693,0.00030730385,0.0004043445,0.0000013483309,0.0000023571204,0.00002130921,0.00018427144],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983802,0.00008782768,0.0005160283,0.00011637585,0.00066288514,0.00023669677],"domain_scores_gemma":[0.99904007,0.0001346713,0.00019451596,0.00018949078,0.00028633044,0.00015493238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013453765,0.00011655059,0.00035776466,0.00091565435,0.000031459178,0.000011939687,0.00011646308,0.000114876566,0.0003193149],"category_scores_gemma":[0.0004173295,0.00008033456,0.00013779133,0.0011673956,0.000035021458,0.00010988767,0.00003131166,0.0005824883,0.00007620627],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035657312,0.001121079,0.2192164,0.0008269848,0.0006083409,0.0072204736,0.060599055,0.000748986,0.3846952,0.0003378435,0.15937012,0.16168979],"study_design_scores_gemma":[0.0041292366,0.001515842,0.97549987,0.0019036712,0.00008657825,0.00071174745,0.005827307,0.0006754834,0.00036044983,0.001803336,0.0073601874,0.00012626965],"about_ca_topic_score_codex":0.0000030516242,"about_ca_topic_score_gemma":0.000002183317,"teacher_disagreement_score":0.75628346,"about_ca_system_score_codex":0.00007846983,"about_ca_system_score_gemma":0.00010101781,"threshold_uncertainty_score":0.3496274},"labels":[],"label_agreement":null},{"id":"W4386910109","doi":"10.1038/s41598-023-42111-3","title":"RANet: a custom CNN model and quanvolutional neural network for the automated detection of rheumatoid arthritis in hand thermal images","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Majmaah University","keywords":"Rheumatoid arthritis; Computer science; Artificial neural network; Artificial intelligence; Pattern recognition (psychology); Medicine; Internal medicine","score_opus":0.01426531623343391,"score_gpt":0.2595602007222348,"score_spread":0.24529488448880088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386910109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99375266,0.0024116777,0.00046459067,0.00031511395,0.002011889,0.0007983675,0.00000919477,0.00016823567,0.00006824367],"genre_scores_gemma":[0.9990541,0.00013662566,0.00030100066,0.000032854063,0.00008140299,0.00009562961,0.00005980487,0.000018226347,0.00022038295],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830025,0.000038846883,0.000541122,0.00037061784,0.00042075347,0.00032843495],"domain_scores_gemma":[0.9989906,0.00015201834,0.00022116215,0.00039135554,0.00017834308,0.00006650646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021707579,0.0001220757,0.00026891238,0.0002260819,0.0003221825,0.000046873323,0.000056563855,0.00007313403,0.000015475094],"category_scores_gemma":[0.00024526345,0.0000864966,0.00009123965,0.0009373593,0.0006948081,0.000086950735,0.00003458388,0.00013699589,0.0000015199093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006685921,0.00013086035,0.03903506,0.00022788759,0.00016156415,0.000475835,0.002609793,0.14506188,0.7446388,0.000092567934,0.032932278,0.033964906],"study_design_scores_gemma":[0.0015375814,0.0001107514,0.12966157,0.0003561375,0.00002947256,0.0006251789,0.00022344888,0.8556462,0.008376013,0.002508766,0.0007896689,0.00013522849],"about_ca_topic_score_codex":0.000052877454,"about_ca_topic_score_gemma":0.00004818966,"teacher_disagreement_score":0.73626274,"about_ca_system_score_codex":0.000020972064,"about_ca_system_score_gemma":0.00011118193,"threshold_uncertainty_score":0.35272288},"labels":[],"label_agreement":null},{"id":"W4386920252","doi":"10.1109/sas58821.2023.10253973","title":"Automatic Real-Time Fever Screening in a Thermal Video Surveillance System","year":2023,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science","score_opus":0.012427085750512885,"score_gpt":0.25953244148722154,"score_spread":0.24710535573670867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386920252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.945373,0.000043092332,0.0000572466,0.00062977104,0.0001358072,0.0005173056,0.0000042439024,0.0013931333,0.051846392],"genre_scores_gemma":[0.99498296,0.000010987823,0.0017491728,0.0002545651,0.00018125221,0.00004886178,0.000036921938,0.00004926741,0.002686007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982118,0.00012678899,0.0004436833,0.0002845163,0.000460077,0.00047313026],"domain_scores_gemma":[0.99899113,0.00026116672,0.000077727585,0.00047272732,0.000065941145,0.0001313298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011601908,0.0001881207,0.0004936078,0.0005026406,0.000049380895,0.000012027234,0.00013227765,0.00011268626,0.00087408436],"category_scores_gemma":[0.00014205165,0.0001443707,0.00010178861,0.0014133065,0.00007011741,0.00006586176,0.00005163732,0.00020926254,0.0007578166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031504215,0.0001428955,0.8234493,0.001817277,0.00042080585,0.0033369823,0.0029384957,0.00020225496,0.11354816,0.0009803715,0.019983863,0.032864515],"study_design_scores_gemma":[0.0022990224,0.00010206078,0.94417685,0.0010070895,0.000027428452,0.00010009324,0.0008813924,0.050573383,0.00048356567,0.000014110647,0.00014493491,0.0001900648],"about_ca_topic_score_codex":0.00030498035,"about_ca_topic_score_gemma":0.000012254908,"teacher_disagreement_score":0.12072752,"about_ca_system_score_codex":0.00006206934,"about_ca_system_score_gemma":0.000052751922,"threshold_uncertainty_score":0.97404516},"labels":[],"label_agreement":null},{"id":"W4387016654","doi":"10.32920/24192348","title":"High Intensity Focused Ultrasound (HIFU) Thermal Lesion Detection Using Local Harmonic Imaging","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Ultrasound; Biomedical engineering; Amplitude; Materials science; Harmonic; High-intensity focused ultrasound; Lesion; Medicine; Nuclear medicine; Radiology; Optics; Acoustics; Pathology; Physics","score_opus":0.04847278622064619,"score_gpt":0.2943949066298244,"score_spread":0.24592212040917824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387016654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9099835,0.00026467393,0.08212412,0.0007657771,0.004145351,0.0010257394,0.000012896714,0.0011181256,0.0005597854],"genre_scores_gemma":[0.9929612,0.000081037055,0.0040476355,0.00085584825,0.0013488763,0.00003401627,0.00015830129,0.0001949076,0.0003181753],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965958,0.0001354981,0.0007646479,0.0009868528,0.0008284538,0.0006887525],"domain_scores_gemma":[0.9975908,0.00021099376,0.00033919068,0.001134382,0.00045775663,0.00026691],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080349884,0.0006391961,0.0010512172,0.00077163655,0.00022279109,0.00006476387,0.00028750196,0.0005641553,0.00035025898],"category_scores_gemma":[0.00028737282,0.0005417548,0.0004785,0.0005037703,0.00042997513,0.00008404851,0.00050683547,0.0022736278,0.000104232466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020452754,0.00029471333,0.023503141,0.0010850766,0.0011726727,0.0012402802,0.0011051206,0.002197598,0.8211309,0.00008216513,0.0011437613,0.14499934],"study_design_scores_gemma":[0.008005097,0.00057064975,0.4476899,0.0058048163,0.0033742369,0.0016336875,0.0022953365,0.042747736,0.47946942,0.005903349,0.00028867513,0.0022170932],"about_ca_topic_score_codex":0.003673832,"about_ca_topic_score_gemma":0.00006367031,"teacher_disagreement_score":0.42418677,"about_ca_system_score_codex":0.0006271137,"about_ca_system_score_gemma":0.00025582398,"threshold_uncertainty_score":0.9997034},"labels":[],"label_agreement":null},{"id":"W4387025438","doi":"10.32920/24192348.v1","title":"High Intensity Focused Ultrasound (HIFU) Thermal Lesion Detection Using Local Harmonic Imaging","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Ultrasound; Amplitude; Biomedical engineering; Materials science; Harmonic; Modulus; Medicine; Nuclear medicine; Optics; Radiology; Acoustics; Physics; Composite material","score_opus":0.04847278622064619,"score_gpt":0.2943949066298244,"score_spread":0.24592212040917824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387025438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9099835,0.00026467393,0.08212412,0.0007657771,0.004145351,0.0010257394,0.000012896714,0.0011181256,0.0005597854],"genre_scores_gemma":[0.9929612,0.000081037055,0.0040476355,0.00085584825,0.0013488763,0.00003401627,0.00015830129,0.0001949076,0.0003181753],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965958,0.0001354981,0.0007646479,0.0009868528,0.0008284538,0.0006887525],"domain_scores_gemma":[0.9975908,0.00021099376,0.00033919068,0.001134382,0.00045775663,0.00026691],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080349884,0.0006391961,0.0010512172,0.00077163655,0.00022279109,0.00006476387,0.00028750196,0.0005641553,0.00035025898],"category_scores_gemma":[0.00028737282,0.0005417548,0.0004785,0.0005037703,0.00042997513,0.00008404851,0.00050683547,0.0022736278,0.000104232466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020452754,0.00029471333,0.023503141,0.0010850766,0.0011726727,0.0012402802,0.0011051206,0.002197598,0.8211309,0.00008216513,0.0011437613,0.14499934],"study_design_scores_gemma":[0.008005097,0.00057064975,0.4476899,0.0058048163,0.0033742369,0.0016336875,0.0022953365,0.042747736,0.47946942,0.005903349,0.00028867513,0.0022170932],"about_ca_topic_score_codex":0.003673832,"about_ca_topic_score_gemma":0.00006367031,"teacher_disagreement_score":0.42418677,"about_ca_system_score_codex":0.0006271137,"about_ca_system_score_gemma":0.00025582398,"threshold_uncertainty_score":0.9997034},"labels":[],"label_agreement":null},{"id":"W4387149809","doi":"10.14406/acu.2023.010","title":"Suggestion on Locating Method for ST36 Acupoint Based on Neuroanatomical Features","year":2023,"lang":"en","type":"article","venue":"Korean Journal of Acupuncture","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; National Research Foundation of Korea; Institute for Information and Communications Technology Promotion; Korea Institute of Oriental Medicine; Kyung Hee University; National Research Foundation","keywords":"Computer science; Artificial intelligence; Neuroscience; Psychology; Pattern recognition (psychology); Medicine","score_opus":0.015510100939151008,"score_gpt":0.32807731187308914,"score_spread":0.31256721093393813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387149809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8143401,0.0005234153,0.059602033,0.11080307,0.005444347,0.0033270207,0.00014197778,0.00055115897,0.005266859],"genre_scores_gemma":[0.9607365,0.000025837657,0.026227511,0.010302529,0.0022412776,0.0000147161045,0.00009091861,0.00010210655,0.00025861122],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9978822,0.00017208923,0.0005272671,0.000256514,0.0007934,0.00036852335],"domain_scores_gemma":[0.9972395,0.0013265817,0.00038412237,0.00035675074,0.0004135938,0.0002794702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014749654,0.00038928588,0.00076546293,0.00079851085,0.000107114385,0.000024280924,0.00020782374,0.00021550956,0.000058628313],"category_scores_gemma":[0.002213555,0.00018357734,0.0005787394,0.0006247554,0.00006848395,0.000051523908,0.000016600796,0.0010899302,0.000009702337],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027350875,0.0009492498,0.0038125277,0.0011852196,0.0012060943,0.0032970752,0.0023718663,0.026917553,0.090821296,0.003810603,0.5607898,0.27748778],"study_design_scores_gemma":[0.061657272,0.062196095,0.33532193,0.015923219,0.0062500834,0.008187925,0.0036698303,0.1341082,0.28684238,0.018227572,0.06509217,0.002523339],"about_ca_topic_score_codex":0.000001896933,"about_ca_topic_score_gemma":6.6940794e-7,"teacher_disagreement_score":0.49569768,"about_ca_system_score_codex":0.00010652983,"about_ca_system_score_gemma":0.00015791821,"threshold_uncertainty_score":0.7486067},"labels":[],"label_agreement":null},{"id":"W4387189788","doi":"10.1016/j.jbiomech.2023.111822","title":"Biomechanical stress analysis using thermography: A review","year":2023,"lang":"en","type":"review","venue":"Journal of Biomechanics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; Western University; Victoria Hospital","funders":"","keywords":"Thermography; Strain gauge; Biomechanics; Stress (linguistics); Biomedical engineering; Materials science; Forensic engineering; Medicine; Engineering; Composite material; Infrared; Optics","score_opus":0.1216848513727085,"score_gpt":0.4239955653305765,"score_spread":0.30231071395786796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387189788","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016794467,0.9952431,0.0021377339,0.00008858739,0.0010692902,0.0010967492,0.0002329635,0.00008076282,0.000034018885],"genre_scores_gemma":[0.000004480715,0.9962563,0.0020725545,0.00032282269,0.0009179719,0.000014107524,0.00015222914,0.00020398729,0.000055574597],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932659,0.0004404002,0.0034829238,0.0005155135,0.0016543719,0.00064085535],"domain_scores_gemma":[0.9931379,0.00031873334,0.0040491503,0.0011287326,0.0007878817,0.0005775848],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002806496,0.00084824674,0.008244404,0.007494528,0.00008857743,0.00003529724,0.0008187533,0.00080603576,0.0003046274],"category_scores_gemma":[0.00042079098,0.00056655816,0.0077142143,0.016436428,0.00010366024,0.00009688498,0.0001703013,0.0016345193,0.00004278987],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004444252,0.00027231837,9.840101e-7,0.12842295,0.025440983,0.0018469491,0.00002843912,1.8621554e-7,0.000109983936,0.00004740883,0.0011274405,0.8426579],"study_design_scores_gemma":[0.0006807179,0.00087061815,4.3792105e-7,0.36388478,0.1901688,0.0029246358,0.000049739614,0.00030128442,0.000024130877,0.00022310966,0.44023025,0.0006415173],"about_ca_topic_score_codex":0.0000073711026,"about_ca_topic_score_gemma":9.557915e-7,"teacher_disagreement_score":0.8420164,"about_ca_system_score_codex":0.00029397113,"about_ca_system_score_gemma":0.0008602599,"threshold_uncertainty_score":0.9996786},"labels":[],"label_agreement":null},{"id":"W4387581015","doi":"10.1371/journal.pdig.0000244","title":"Going beyond the means: Exploring the role of bias from digital determinants of health in technologies","year":2023,"lang":"en","type":"review","venue":"PLOS Digital Health","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; Fonds de Recherche du Québec - Santé; Institut de Valorisation des Données; Broad Institute","keywords":"Modalities; Diversity (politics); Scope (computer science); Medicine; Selection bias; Data science; Cognitive psychology; Psychology; Computer science; Pathology; Political science","score_opus":0.17261193442789474,"score_gpt":0.36095386816811287,"score_spread":0.18834193374021813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387581015","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010125531,0.98416996,0.000002608116,0.0006180607,0.00021202123,0.0026947549,0.0012058435,0.0002467829,0.000724427],"genre_scores_gemma":[0.02291978,0.9761317,0.0000451689,0.00011025541,0.00011749342,0.00025683103,0.00025013046,0.00013594698,0.000032713942],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99513906,0.00019192768,0.0025754725,0.00052049354,0.00080319407,0.000769822],"domain_scores_gemma":[0.99463385,0.0020882573,0.0017712115,0.0012920205,0.00010043282,0.000114206196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010702643,0.00054213806,0.0036156243,0.00071057514,0.0001185727,0.000055010893,0.00082932913,0.00020769285,0.0000033042065],"category_scores_gemma":[0.0015974073,0.0002864393,0.0005234472,0.0017734702,0.00054283487,0.00031385734,0.00034698658,0.001068027,0.000024661851],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019016265,0.00017214894,0.0026748746,0.015704364,0.00020082458,0.0000122987885,0.0011005969,1.7596527e-7,1.7101067e-7,0.00008607267,0.000054373446,0.9799751],"study_design_scores_gemma":[0.0020661938,0.0037904927,0.0024838094,0.5002104,0.0008119342,0.0001916014,0.026796581,0.000092946466,0.0000826786,0.01564826,0.44661167,0.0012134115],"about_ca_topic_score_codex":0.00020348541,"about_ca_topic_score_gemma":0.00005041131,"teacher_disagreement_score":0.9787617,"about_ca_system_score_codex":0.00028942284,"about_ca_system_score_gemma":0.001252619,"threshold_uncertainty_score":0.99995875},"labels":[],"label_agreement":null},{"id":"W4388977366","doi":"10.3390/s23239376","title":"Utility of Thermographic Imaging for Callus Identification in Wound and Foot Care","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Callus; Biomedical engineering; Epidermis (zoology); Materials science; Thermography; Anatomy; Medicine; Horticulture; Infrared; Biology; Optics","score_opus":0.01684094364325862,"score_gpt":0.29554835971038423,"score_spread":0.2787074160671256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388977366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974585,0.00060359505,0.000021163223,0.00041667913,0.00012982714,0.0006285815,0.000026312027,0.00006444178,0.00065086153],"genre_scores_gemma":[0.9995765,0.00006108355,0.0001082312,0.000050209754,0.000046147,0.000021794458,0.000054089443,0.000018279814,0.0000636266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912703,0.00003486064,0.00027503938,0.00020788383,0.00016665123,0.00018852385],"domain_scores_gemma":[0.99937415,0.00011431371,0.0000712164,0.0002553234,0.00013516757,0.000049854698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034790434,0.00009161171,0.00021505974,0.00043174403,0.000035823297,0.000004842405,0.00004650948,0.000052814717,0.000012076093],"category_scores_gemma":[0.00017760953,0.00008223464,0.00007002206,0.0006324772,0.0001795716,0.000025097625,0.000015046147,0.00010599135,0.00000163075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037366693,0.00005376218,0.88525355,0.0011829031,0.000074223586,0.000041971598,0.010102751,0.000009871226,0.04695468,0.0002611444,0.00028958078,0.055401914],"study_design_scores_gemma":[0.0013798586,0.000054565826,0.98232424,0.00014095644,0.00006273903,0.0000095682135,0.007636262,0.0019207553,0.0053296573,0.0008616519,0.00020331462,0.000076455726],"about_ca_topic_score_codex":0.00010225977,"about_ca_topic_score_gemma":0.000047872505,"teacher_disagreement_score":0.09707069,"about_ca_system_score_codex":0.000010865414,"about_ca_system_score_gemma":0.000023610413,"threshold_uncertainty_score":0.33534312},"labels":[],"label_agreement":null},{"id":"W4389022370","doi":"10.1096/fasebj.31.1_supplement.684.13","title":"Effect of Noradrenergic Blockade on Low‐frequency Oscillations of Human Skin Microcirculation.","year":2017,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Vasomotion; Laser Doppler velocimetry; Medicine; Microdialysis; Forearm; Microcirculation; Human skin; Anesthesia; Sympathetic nervous system; Autonomic nervous system; Internal medicine; Cardiology; Blood flow; Heart rate; Blood pressure; Anatomy; Central nervous system","score_opus":0.012486142584594304,"score_gpt":0.29953128422366265,"score_spread":0.28704514163906836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389022370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926402,0.00019627971,0.000044644585,0.00048416763,0.00023748858,0.0002329782,0.000010293495,0.000009904749,0.0061440677],"genre_scores_gemma":[0.999161,0.000027187567,0.00010143961,0.000057107754,0.0004992288,0.0000026869586,0.0000070969863,0.000018619286,0.00012560791],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865615,0.00016109431,0.00043815523,0.000104809806,0.0004561031,0.00018370691],"domain_scores_gemma":[0.9981433,0.00017149684,0.00069535285,0.0007077792,0.0001834347,0.000098620425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010216938,0.00014380773,0.00037221648,0.000214081,0.0005658478,0.000018610548,0.00033841305,0.00007554511,0.0002158626],"category_scores_gemma":[0.0002685965,0.000084596235,0.00021601055,0.000112420516,0.0004153659,0.00006032097,0.000025641664,0.0004131175,0.000006821827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014623592,0.00006942704,0.0448227,0.00008320157,0.00017791265,0.000029114619,0.00051432336,0.000091202426,0.9517734,0.00042228034,0.00013869104,0.0017314926],"study_design_scores_gemma":[0.0031942497,0.002114643,0.19365005,0.00079891493,0.00041708862,0.0003698382,0.00006151621,0.000053704673,0.79817516,0.0010528896,0.000014237539,0.00009768507],"about_ca_topic_score_codex":0.000048101483,"about_ca_topic_score_gemma":0.0000022538945,"teacher_disagreement_score":0.15359823,"about_ca_system_score_codex":0.000042105876,"about_ca_system_score_gemma":0.00006605107,"threshold_uncertainty_score":0.43521008},"labels":[],"label_agreement":null},{"id":"W4389145614","doi":"10.3390/engproc2023051038","title":"Diagnostic Biomarker for Breast Cancer Applying Rayleigh Low-Rank Embedding Thermography","year":2023,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Basis (linear algebra); Breast cancer; Computer science; Embedding; Thermography; Rank (graph theory); Pattern recognition (psychology); Artificial intelligence; Machine learning; Mathematics; Cancer; Medicine; Physics; Internal medicine; Geometry; Optics","score_opus":0.020642592324822483,"score_gpt":0.3197623963669435,"score_spread":0.299119804042121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389145614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97156954,0.0012380728,0.004063678,0.0053602736,0.001681004,0.004641734,0.00041286193,0.0017008734,0.009331975],"genre_scores_gemma":[0.99268967,0.00046687433,0.000926499,0.0018862963,0.00078628265,0.0020753208,0.0001184828,0.0001228241,0.00092772715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978495,0.00003693764,0.00042357564,0.00048207224,0.00045831257,0.0007495686],"domain_scores_gemma":[0.9978372,0.00110383,0.00010197173,0.00047900912,0.0002192715,0.0002587173],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005412865,0.0003227295,0.00049363496,0.0008075801,0.00020769384,0.000026848335,0.0001845481,0.00016563227,0.0016176],"category_scores_gemma":[0.00026335212,0.00024414525,0.00038931228,0.0018770688,0.00018627486,0.00009589758,0.000052897627,0.00021203599,0.00007875308],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016833518,0.00044600555,0.4041131,0.0024365396,0.0025551699,0.0004322223,0.0016475293,0.0001219967,0.13500333,0.0018789954,0.10265661,0.34702513],"study_design_scores_gemma":[0.008273816,0.00026101564,0.96512324,0.0021450752,0.00087631284,0.00020519888,0.0014051975,0.0072330795,0.003956447,0.0013249406,0.008387099,0.0008085799],"about_ca_topic_score_codex":0.000085647705,"about_ca_topic_score_gemma":0.000007084251,"teacher_disagreement_score":0.5610101,"about_ca_system_score_codex":0.000052036703,"about_ca_system_score_gemma":0.00007575547,"threshold_uncertainty_score":0.99929506},"labels":[],"label_agreement":null},{"id":"W4389160434","doi":"10.1016/j.tem.2023.11.003","title":"The ups and downs of bone-marrow adipose tissue in space","year":2023,"lang":"en","type":"article","venue":"Trends in Endocrinology and Metabolism","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Space Agency","keywords":"Bone marrow; Adipose tissue; Interstitial space; Medicine; Biology; Pathology; Endocrinology","score_opus":0.014662365179258603,"score_gpt":0.2982074769447908,"score_spread":0.28354511176553215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389160434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96561456,0.021694066,0.0000012570882,0.0049313754,0.00034977152,0.00014443598,0.000008509783,0.00004683208,0.0072092097],"genre_scores_gemma":[0.9883366,0.008856541,0.0001588432,0.00016246576,0.00009068135,0.00003494626,0.0000119410015,0.000014758814,0.0023332075],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99873745,0.00010937391,0.00033100843,0.00024545685,0.00012767481,0.00044902126],"domain_scores_gemma":[0.9993004,0.00023162054,0.00007146477,0.00029724705,0.00002560942,0.0000736559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003539486,0.00015151716,0.00049146195,0.00089051976,0.000054133263,0.0000036415643,0.00007570641,0.00010415912,0.000045633198],"category_scores_gemma":[0.00016557927,0.00010455715,0.00003721317,0.00088296726,0.0005756575,0.000039250946,0.00007831359,0.0003866847,0.000004691967],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007530016,0.00016742236,0.12231319,0.00013672364,0.00022256807,0.0018688006,0.0060901884,0.000005157175,0.033586137,0.12238055,0.0028905375,0.7095857],"study_design_scores_gemma":[0.003760649,0.00012271023,0.917565,0.00005986221,0.00010639294,0.00039913936,0.00054489396,0.000020986394,0.0033814434,0.0035700067,0.07036025,0.000108693464],"about_ca_topic_score_codex":0.00012834097,"about_ca_topic_score_gemma":0.00014730723,"teacher_disagreement_score":0.7952518,"about_ca_system_score_codex":0.000007041438,"about_ca_system_score_gemma":0.000018834222,"threshold_uncertainty_score":0.4263717},"labels":[],"label_agreement":null},{"id":"W4389426998","doi":"10.1016/j.cryobiol.2023.104730","title":"Choosing the best storage media for hypothermic storage of porcine osteochondral dowels","year":2023,"lang":"en","type":"article","venue":"Cryobiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry","score_opus":0.03314870318994905,"score_gpt":0.2963937315867775,"score_spread":0.26324502839682845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389426998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913576,0.0010815301,0.0003583714,0.0027968362,0.0015557065,0.0010133019,0.00012316919,0.00014796758,0.0015654885],"genre_scores_gemma":[0.99618524,0.000103319275,0.00041786756,0.0010297261,0.000926635,0.000099076184,0.00023843393,0.00005911894,0.0009405722],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998427,0.00011000645,0.0004598923,0.00032234364,0.00017341203,0.0005073799],"domain_scores_gemma":[0.9979976,0.00089842075,0.00020656323,0.0006142666,0.00017758284,0.00010557409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007169441,0.00022737651,0.0005991221,0.00033709212,0.00011767707,0.0000049058035,0.00027353776,0.00022906548,0.00024135459],"category_scores_gemma":[0.0007110353,0.00014551115,0.00021375084,0.0006146073,0.0006022757,0.000037823982,0.00006436522,0.00030935294,0.0000729854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013776267,0.00023028444,0.017372653,0.00048140434,0.00048604305,0.00019918203,0.0053049824,0.00007688185,0.92774075,0.0022934151,0.024455685,0.019981096],"study_design_scores_gemma":[0.04430719,0.014194128,0.59435123,0.002458365,0.0035459856,0.0020558154,0.022881582,0.0024044616,0.109860145,0.018093718,0.18339938,0.0024479795],"about_ca_topic_score_codex":0.000021698712,"about_ca_topic_score_gemma":0.000008399113,"teacher_disagreement_score":0.8178806,"about_ca_system_score_codex":0.00004400857,"about_ca_system_score_gemma":0.000102403406,"threshold_uncertainty_score":0.5933773},"labels":[],"label_agreement":null},{"id":"W4389430862","doi":"10.15353/cjo.v85i4.5567","title":"Procédures cliniques : Un nouveau test pour examiner les différentes composantes de la réfraction monoculaire subjective","year":2023,"lang":"fr","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.013374990976747235,"score_gpt":0.33341184733819873,"score_spread":0.3200368563614515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389430862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9258004,0.050464034,0.00090283086,0.01310754,0.0061342046,0.0005580771,0.0005818613,0.000041348358,0.0024097331],"genre_scores_gemma":[0.9823296,0.0046677897,0.004037182,0.0008365466,0.0062120417,0.000009002044,0.000042123243,0.00031375233,0.0015519405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99010295,0.0014250018,0.0033003837,0.0006108214,0.0015520297,0.0030088176],"domain_scores_gemma":[0.9781814,0.004404294,0.0032363664,0.0006642468,0.0038910967,0.009622551],"candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.007303658,0.0012084483,0.0024932162,0.019300222,0.00100302,0.0005633145,0.0016300034,0.0014030086,0.002429148],"category_scores_gemma":[0.00947379,0.0011648133,0.001430873,0.008775525,0.0023392849,0.001214807,0.000050759998,0.005434093,0.000094723466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00021654784,0.0002338292,0.92354697,0.00064362295,0.0023069861,0.019734597,0.003973727,0.0003488094,0.0019968285,0.000027069518,0.03642692,0.010544072],"study_design_scores_gemma":[0.004369406,0.001929542,0.93169826,0.0079424195,0.0016262328,0.022799827,0.014092498,0.00045997664,0.0033776716,0.00007205459,0.01069003,0.00094206474],"about_ca_topic_score_codex":0.011865806,"about_ca_topic_score_gemma":0.002521596,"teacher_disagreement_score":0.056529254,"about_ca_system_score_codex":0.004419155,"about_ca_system_score_gemma":0.021397347,"threshold_uncertainty_score":0.99989337},"labels":[],"label_agreement":null},{"id":"W4389439767","doi":"10.1212/wnl.92.15_supplement.p5.2-035","title":"Cognitive Impairment and Deep Grey Matter Lesions on 7T MRI in Multiple Sclerosis (P5.2-035)","year":2019,"lang":"en","type":"article","venue":"Neurology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; London Health Sciences Centre; McMaster University","funders":"","keywords":"Multiple sclerosis; Grey matter; Cognitive impairment; Medicine; Cognition; Magnetic resonance imaging; Neuroscience; Pathology; Psychology; Radiology; White matter; Psychiatry","score_opus":0.020844604284511327,"score_gpt":0.2481884518019056,"score_spread":0.22734384751739428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389439767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98949623,0.000098727505,0.000013627537,0.006122066,0.00032453457,0.0008187104,0.000010342067,0.000039741677,0.0030760088],"genre_scores_gemma":[0.97249925,0.00011582628,0.000069117064,0.02706178,0.00008422046,0.000050398565,0.000018419221,0.000031445674,0.00006954304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987012,0.00012928042,0.00023585357,0.00039859384,0.00017183517,0.0003632222],"domain_scores_gemma":[0.99911547,0.00038760953,0.0000590211,0.0002658157,0.000051071307,0.00012102923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015379157,0.00017848593,0.00034755844,0.00032075145,0.00003927696,0.0000049961577,0.00006599381,0.0001693519,0.0008702753],"category_scores_gemma":[0.00006234941,0.00014866647,0.000057001984,0.00018126749,0.00016628475,0.000035306446,0.00005652694,0.00050214585,0.00048518006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020359866,0.00027787502,0.988818,0.00004451042,0.00003944115,0.0001255952,0.0007516296,0.0000068315517,0.0053062835,0.000030785046,0.00058900414,0.0019740635],"study_design_scores_gemma":[0.005993444,0.0041457266,0.98803216,0.0001208919,0.00004819509,0.00009708491,0.00009300596,0.00026249915,0.0004902416,0.00007691298,0.00052756147,0.000112255264],"about_ca_topic_score_codex":0.00007666892,"about_ca_topic_score_gemma":0.000042676027,"teacher_disagreement_score":0.020939715,"about_ca_system_score_codex":0.000014859357,"about_ca_system_score_gemma":0.000018597302,"threshold_uncertainty_score":0.95289046},"labels":[],"label_agreement":null},{"id":"W4389448409","doi":"10.1212/wnl.94.15_supplement.934","title":"Muscle Thickness Measured by Ultrasound is Reduced in Neuromuscular Disorders and Correlates with Clinical and Electrophysiological findings (934)","year":2020,"lang":"en","type":"article","venue":"Neurology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Electrophysiology; Medicine; Electrodiagnosis; Ultrasound; Electromyography; Physical medicine and rehabilitation; Internal medicine; Radiology","score_opus":0.013714756712989535,"score_gpt":0.25307253994166656,"score_spread":0.23935778322867704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389448409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98140866,0.0005323353,0.000026822023,0.017381076,0.000086006025,0.00038778817,0.00000430844,0.00006608906,0.000106919535],"genre_scores_gemma":[0.97553694,0.0010555909,0.000068893925,0.023198491,0.00007642402,0.000015610707,0.000012949744,0.000031287233,0.0000038142146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981697,0.00028655818,0.00033758167,0.0006504684,0.00019450368,0.00036119128],"domain_scores_gemma":[0.99903697,0.00043206743,0.00006423063,0.00019900074,0.0000372997,0.00023042208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022232834,0.00022385472,0.0005625433,0.000079811965,0.00005800852,0.000009197786,0.000096767515,0.0002992826,0.00004790724],"category_scores_gemma":[0.00055340177,0.00016579774,0.00005635117,0.0003431265,0.00082120445,0.000042376287,0.00004097896,0.0011334082,0.000003363004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0066624805,0.00022849687,0.6038263,0.000076381446,0.00010744197,0.0002855922,0.0011604558,0.0000030416215,0.38365653,0.000066448265,0.0013307498,0.002596098],"study_design_scores_gemma":[0.0047077914,0.013001567,0.97864485,0.000019805073,0.0001269294,0.00028743525,0.000050207676,0.00024927332,0.0004163074,0.00035577486,0.0019406887,0.00019936246],"about_ca_topic_score_codex":0.000024427944,"about_ca_topic_score_gemma":0.000005185137,"teacher_disagreement_score":0.38324022,"about_ca_system_score_codex":0.0000032554324,"about_ca_system_score_gemma":0.000031089618,"threshold_uncertainty_score":0.6761036},"labels":[],"label_agreement":null},{"id":"W4391120557","doi":"10.5114/kitp.2023.134135","title":"Various uses of the thermal camera in some thoracic surgical procedures","year":2023,"lang":"en","type":"article","venue":"Polish Journal of Cardio-Thoracic Surgery","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cardiothoracic surgery; Medicine; Surgery","score_opus":0.02688952382243879,"score_gpt":0.3219379186381122,"score_spread":0.2950483948156734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391120557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891267,0.0054890374,0.0000038281287,0.001884836,0.0015653776,0.00030031224,0.000020035168,0.000054066026,0.0015558227],"genre_scores_gemma":[0.9962078,0.0013378386,0.000050377257,0.00041221466,0.0017692739,0.000011971378,0.000006771109,0.00006867407,0.00013513333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951977,0.0008496716,0.0014616915,0.00024320954,0.0015179225,0.0007298039],"domain_scores_gemma":[0.9963507,0.0014186763,0.0008331373,0.00056048966,0.00054721395,0.00028976044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005376207,0.00032066248,0.001521406,0.001420506,0.00008613545,0.000026866748,0.0003711054,0.00023390312,0.00007331458],"category_scores_gemma":[0.0023260748,0.00020674823,0.0012485011,0.002276152,0.00043360944,0.00030078326,0.00010165449,0.001010757,0.000010653894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021843598,0.0002919236,0.9370367,0.00093280507,0.00097245176,0.0057756505,0.0021660079,0.0005126927,0.004709098,0.00010186923,0.010689048,0.034627378],"study_design_scores_gemma":[0.0011657584,0.0002345444,0.95989466,0.0039837086,0.0007782695,0.008231558,0.001334327,0.000035393554,0.018179359,0.0008124857,0.0048977104,0.00045220563],"about_ca_topic_score_codex":0.00006503647,"about_ca_topic_score_gemma":0.0000037843513,"teacher_disagreement_score":0.034175172,"about_ca_system_score_codex":0.00011724788,"about_ca_system_score_gemma":0.0011343018,"threshold_uncertainty_score":0.84309477},"labels":[],"label_agreement":null},{"id":"W4392248356","doi":"10.1109/icce59016.2024.10444400","title":"Comparison of Different Color Spaces for Abnormality Detection in Breast Thermograms","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Abnormality; Computer science; Artificial intelligence; Computer vision; Pattern recognition (psychology); Medicine","score_opus":0.02235906983304105,"score_gpt":0.3375404459497885,"score_spread":0.31518137611674746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392248356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926644,0.00044508398,0.0025463914,0.00074606924,0.00035682446,0.00076742895,0.00001672717,0.00012397027,0.0023331302],"genre_scores_gemma":[0.9992125,0.000015561685,0.00033428075,0.00007024904,0.00012636521,0.000048604932,0.000020344685,0.00001903468,0.0001530712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990002,0.000030891788,0.00036545674,0.00019126742,0.00021170174,0.00020047306],"domain_scores_gemma":[0.99949056,0.00014685618,0.000049118105,0.0001801767,0.000069281494,0.00006398675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027399653,0.00013242285,0.00039932237,0.00018521432,0.000021423806,0.000011938788,0.000056836136,0.00009781937,0.00017105078],"category_scores_gemma":[0.00002059435,0.00008794178,0.00013998715,0.00034002072,0.00009942761,0.000043063406,0.000014810052,0.00018128206,0.0000033892795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022760925,0.0013404536,0.5260195,0.0029424864,0.00044438016,0.000033606648,0.0035341952,0.000022203802,0.2611018,0.004545758,0.00078360084,0.19695593],"study_design_scores_gemma":[0.003512212,0.0023376835,0.75205415,0.0012155843,0.00038384242,0.00016028664,0.0029621758,0.036270317,0.19810289,0.001280281,0.0014260747,0.00029449986],"about_ca_topic_score_codex":0.000114685936,"about_ca_topic_score_gemma":0.000080944716,"teacher_disagreement_score":0.22603467,"about_ca_system_score_codex":0.000056448993,"about_ca_system_score_gemma":0.00002405068,"threshold_uncertainty_score":0.35861614},"labels":[],"label_agreement":null},{"id":"W4392918646","doi":"10.61919/jhrr.v4i1.603","title":"Efficacy of Mulligan MWMs along with Conventional Physical Therapy in Knee Osteoarthritis","year":2024,"lang":"en","type":"article","venue":"Journal of Health and Rehabilitation Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mulligan; Osteoarthritis; Medicine; Physical therapy; Physical medicine and rehabilitation; Computer science; Alternative medicine","score_opus":0.031714936524007906,"score_gpt":0.41055386311471315,"score_spread":0.3788389265907052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392918646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757151,0.010220679,0.000026707714,0.013280557,0.00008998142,0.00054836343,0.000002451517,0.0000054735383,0.000110669316],"genre_scores_gemma":[0.99799937,0.00054104876,0.0011221563,0.00009668749,0.00018375092,0.000010289709,0.0000038722546,0.000012101379,0.00003074862],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99776036,0.00041121192,0.0005798327,0.00012769188,0.0008944443,0.0002264924],"domain_scores_gemma":[0.996927,0.0021159702,0.00010616587,0.00010184647,0.00054283993,0.00020614688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036210776,0.00007228787,0.00035521577,0.00089146395,0.000053573356,0.000011863823,0.000044916247,0.000044372504,0.00002850079],"category_scores_gemma":[0.00063023,0.000045107543,0.00009217816,0.0007065271,0.00048156528,0.00008857572,0.000008342039,0.0006708329,0.0000013381788],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009817402,0.0016042354,0.18575531,0.0039044814,0.00019849546,0.0002612493,0.031445798,0.000023745026,0.0045510046,0.004308212,0.0016562097,0.75647384],"study_design_scores_gemma":[0.016089376,0.08283595,0.8742854,0.0086652525,0.000015696194,0.00044567155,0.009567579,0.00021456546,0.00025433884,0.0033773305,0.0041441764,0.00010468622],"about_ca_topic_score_codex":0.00004461569,"about_ca_topic_score_gemma":0.000004648653,"teacher_disagreement_score":0.7563692,"about_ca_system_score_codex":0.00006993084,"about_ca_system_score_gemma":0.0009334236,"threshold_uncertainty_score":0.29144725},"labels":[],"label_agreement":null},{"id":"W4393010344","doi":"10.21203/rs.3.rs-4000880/v1","title":"Impact of long-term storage on mid-infrared spectral patterns of serum and synovial fluid samples of dogs with osteoarthritis","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Osteoarthritis; Synovial fluid; Term (time); Infrared; Medicine; Pathology; Physics; Optics; Astronomy","score_opus":0.03625489506523293,"score_gpt":0.3739370884981024,"score_spread":0.3376821934328695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393010344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892919,0.0033666375,0.000024139526,0.00015966501,0.00017344166,0.0021249813,0.0038171213,0.00005195051,0.0009901731],"genre_scores_gemma":[0.9979585,0.00084539794,0.00013273963,0.000007803035,0.00038400694,0.00006401947,0.00032420803,0.000113696675,0.00016963585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995118,0.0003590038,0.0008137449,0.000747539,0.0022197298,0.0007419889],"domain_scores_gemma":[0.99653125,0.0005014447,0.00029167853,0.0013353331,0.000973573,0.00036671126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011542449,0.00049121067,0.0014627539,0.0017313035,0.000051770512,0.00003034741,0.0003756441,0.00044709322,0.00076018],"category_scores_gemma":[0.0003335578,0.00035938443,0.0004850215,0.0006569846,0.0008932745,0.0000425761,0.000651436,0.0022154239,0.000004025077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049590613,0.00061297516,0.9237289,0.028394083,0.0014408843,0.0016754068,0.0036214925,0.000048899623,0.023541585,0.000118608026,0.0002700268,0.0115881],"study_design_scores_gemma":[0.0033741028,0.016152905,0.92720973,0.030409629,0.00023229366,0.0001339983,0.00039634047,0.000015026901,0.021339383,0.00046991697,0.0000039987785,0.00026267004],"about_ca_topic_score_codex":0.0012489393,"about_ca_topic_score_gemma":0.00011857841,"teacher_disagreement_score":0.01553993,"about_ca_system_score_codex":0.00024502288,"about_ca_system_score_gemma":0.0010131857,"threshold_uncertainty_score":0.9998858},"labels":[],"label_agreement":null},{"id":"W4393150020","doi":"10.21608/ejhc.2023.346096","title":"Effect of Thermotherapy on Clinical Outcomes among Patients with Osteoarthritis","year":2023,"lang":"en","type":"article","venue":"Egyptian Journal of Health Care","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Osteoarthritis; Medicine; Internal medicine; Pathology; Alternative medicine","score_opus":0.01171116468674384,"score_gpt":0.3533845767128646,"score_spread":0.3416734120261208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393150020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99632823,0.0008281746,0.000008799785,0.0009934901,0.0007910577,0.0006522028,0.000019874464,0.00003190046,0.00034628977],"genre_scores_gemma":[0.9980681,0.00017288259,0.00012953796,0.0012940584,0.00022989063,0.0000048519455,0.000020885378,0.000049078335,0.00003071876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969231,0.0005903185,0.0011435612,0.00016161226,0.000845592,0.00033584813],"domain_scores_gemma":[0.9974883,0.00053435843,0.0009189495,0.0003301052,0.0004218506,0.00030643278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018735055,0.00020368893,0.0011178374,0.00044367497,0.00007347567,0.000005081362,0.00014734088,0.00010646017,0.000082640974],"category_scores_gemma":[0.0002810042,0.00011888891,0.00036213372,0.00042537716,0.00020153345,0.000054896384,0.0000113402875,0.00061128923,0.000010913118],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001805576,0.00006923892,0.8336758,0.00025643417,0.00016859821,0.000104582934,0.0013948245,0.000003828706,0.0000039449947,0.000003143921,0.001188259,0.16132575],"study_design_scores_gemma":[0.012849308,0.060133044,0.9240534,0.0017257944,0.00007257303,0.000018401639,0.0005400262,5.598252e-7,0.0000793863,0.0000048603342,0.00044066625,0.000081983155],"about_ca_topic_score_codex":0.000010944108,"about_ca_topic_score_gemma":0.0000041542744,"teacher_disagreement_score":0.16124377,"about_ca_system_score_codex":0.00007150139,"about_ca_system_score_gemma":0.00022848946,"threshold_uncertainty_score":0.48481488},"labels":[],"label_agreement":null},{"id":"W4393319170","doi":"10.1117/12.3006041","title":"Enhancing MR-guided laser interstitial thermal therapy planning using U-Net: a data-driven approach for predicting MR thermometry images","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Laser; Computer science; Medical physics; Biomedical engineering; Materials science; Artificial intelligence; Medicine; Physics; Optics","score_opus":0.07294711533001884,"score_gpt":0.3541792910516645,"score_spread":0.28123217572164566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393319170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7306468,0.003079571,0.2538062,0.00030544444,0.0009747401,0.0016157927,0.00015033362,0.00079286436,0.008628281],"genre_scores_gemma":[0.92654,0.000049066686,0.068290055,0.0009286398,0.002965757,0.00008213758,0.00054365874,0.00018447515,0.0004162057],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969591,0.000103354716,0.00071222027,0.0009257781,0.0005648446,0.00073473266],"domain_scores_gemma":[0.9981,0.00046349646,0.00013330884,0.0009528724,0.00014792022,0.00020241829],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012256391,0.00046618926,0.0006413937,0.00064342463,0.00022604484,0.00015009442,0.0005147915,0.00023311512,0.000366268],"category_scores_gemma":[0.00024587897,0.000341218,0.00025171688,0.0006695791,0.00021362351,0.00047581666,0.00021686216,0.0006480528,0.000007996536],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013243743,0.00031679848,0.009397976,0.0016723495,0.0025295443,0.0003863637,0.007518745,0.0018462186,0.95089567,0.00015786986,0.0067977635,0.017156351],"study_design_scores_gemma":[0.0073204716,0.0014245001,0.0019611614,0.004177109,0.0011591926,0.0008905629,0.008413287,0.7731205,0.19776683,0.000101058526,0.0025310891,0.0011342453],"about_ca_topic_score_codex":0.000086616215,"about_ca_topic_score_gemma":0.0000011636646,"teacher_disagreement_score":0.77127427,"about_ca_system_score_codex":0.000118717326,"about_ca_system_score_gemma":0.00021768232,"threshold_uncertainty_score":0.999904},"labels":[],"label_agreement":null},{"id":"W4393322918","doi":"","title":"Kalman Smoothing and Wavelet Analysis for Inertial Data of Human Movement Disorder Motion","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Smoothing; Wavelet; Kalman filter; Movement (music); Artificial intelligence; Computer science; Inertial frame of reference; Inertial measurement unit; Computer vision; Motion (physics); Geodesy; Geology; Physics; Acoustics; Classical mechanics","score_opus":0.23038297509110015,"score_gpt":0.5576149805633186,"score_spread":0.3272320054722184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393322918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922274,0.0022452693,0.003002568,0.00035828922,0.00033459184,0.0008825663,0.00016446918,0.000022637003,0.00076222065],"genre_scores_gemma":[0.99638146,0.0008609013,0.0015247461,0.00040046097,0.0003317525,0.00003247729,0.0003297501,0.00004763415,0.00009079495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99725705,0.00009819325,0.0010732667,0.00050911907,0.0007406905,0.00032167422],"domain_scores_gemma":[0.9969949,0.00021372917,0.0009245914,0.0011840267,0.00043865087,0.000244086],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002242134,0.0002824793,0.0011004454,0.0015932367,0.00021486978,0.00018385047,0.001577866,0.00014627907,0.003329742],"category_scores_gemma":[0.00056872435,0.00023417214,0.00022485422,0.0012122866,0.00026774738,0.001045599,0.00080115,0.0005229883,4.8240247e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020934323,0.000301301,0.5827575,0.00019514865,0.0012801496,0.000007505797,0.00027507343,0.000014946073,0.3985929,0.00013104147,0.0022831229,0.013952001],"study_design_scores_gemma":[0.0022246048,0.00006324555,0.96464354,0.0002829628,0.002094288,0.0000062027866,0.00017121417,0.0010760337,0.025315063,0.0024046195,0.0014514824,0.00026675552],"about_ca_topic_score_codex":0.0013426665,"about_ca_topic_score_gemma":0.00028640675,"teacher_disagreement_score":0.38188604,"about_ca_system_score_codex":0.000026333153,"about_ca_system_score_gemma":0.00006198056,"threshold_uncertainty_score":0.99758136},"labels":[],"label_agreement":null},{"id":"W4394093456","doi":"10.6084/m9.figshare.24089735","title":"Using ultrasound elastography to assess non-invasive, non-pharmacological interventions for musculoskeletal stiffness: a systematic review and meta-analysis","year":2023,"lang":"en","type":"review","venue":"Figshare","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Meta-analysis; Elastography; Medicine; Psychological intervention; Ultrasound; Systematic review; Ultrasound elastography; Ultrasonography; Radiology; Physical therapy; Physical medicine and rehabilitation; MEDLINE; Internal medicine; Biology; Nursing","score_opus":0.38347051168703195,"score_gpt":0.49055665406685867,"score_spread":0.10708614237982672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394093456","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.9185613e-7,0.81270534,0.00018176493,0.000026427713,0.000064078835,0.015579814,0.17126428,0.00012198007,0.00005542212],"genre_scores_gemma":[0.000009724274,0.8699481,0.0008864301,0.0007158519,0.0001838867,0.025249409,0.102399774,0.00019047182,0.00041637287],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.994986,0.00044229397,0.002219711,0.0010791658,0.0006400867,0.0006327235],"domain_scores_gemma":[0.99344635,0.0030592503,0.0012863562,0.00097335957,0.0007015233,0.00053315924],"candidate_categories":["metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008015579,0.0010352524,0.013462014,0.002063713,0.00019997502,0.000086905064,0.00056246883,0.00045485,0.03386708],"category_scores_gemma":[0.006710669,0.0006767607,0.015399919,0.0051598605,0.000042868865,0.00009754619,0.00023654342,0.0007053621,0.00028197918],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000313753,0.00007121229,2.07597e-7,0.78337026,0.20022145,0.000045164874,0.000013487115,8.489256e-7,0.0000011273265,7.4889044e-7,0.016058411,0.00021397202],"study_design_scores_gemma":[0.00017314314,0.00013034613,0.0000046202945,0.4151513,0.57496214,0.000091298,0.00002289138,0.000002949873,3.118834e-7,0.0000023583625,0.009105579,0.0003530823],"about_ca_topic_score_codex":0.0000049602772,"about_ca_topic_score_gemma":0.000009510195,"teacher_disagreement_score":0.3747407,"about_ca_system_score_codex":0.00015906121,"about_ca_system_score_gemma":0.00025291243,"threshold_uncertainty_score":0.99956834},"labels":[],"label_agreement":null},{"id":"W4394332015","doi":"10.6084/m9.figshare.20416476","title":"Additional file 1 of Association between dual sensory impairment and risk of mortality: a cohort study from the UK Biobank","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Biobank; Cohort; Association (psychology); Dual (grammatical number); Cohort study; Medicine; Demography; Gerontology; Psychology; Internal medicine; Bioinformatics; Biology; Sociology; Art","score_opus":0.026992562523338367,"score_gpt":0.3068553399415894,"score_spread":0.27986277741825105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394332015","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16716224,0.000040692557,3.4992077e-8,0.000026573045,0.000079300175,0.0018937383,0.8306334,9.570476e-7,0.0001630932],"genre_scores_gemma":[0.00036145895,0.00005403471,0.00016670255,0.00004463526,0.00030660167,0.00038858008,0.99837446,0.000015013124,0.00028852656],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9970882,0.0004841394,0.0006635468,0.0004063528,0.0011824237,0.0001753679],"domain_scores_gemma":[0.99423873,0.0035323633,0.0012470759,0.00075271085,0.00015194515,0.000077158336],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012674432,0.00023582962,0.0008809232,0.00012294047,0.00011545998,0.00001872377,0.00031882312,0.00018290062,0.95170116],"category_scores_gemma":[0.0013692778,0.00017454603,0.00012692652,0.00023642225,0.00014233662,0.000033890756,0.00044041628,0.00065386377,0.000026212365],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006287771,0.0002811412,0.27436227,0.000013968433,0.003785264,0.000027987793,0.00017475506,1.311157e-7,0.0000011789776,9.84979e-9,0.72083026,0.00046015278],"study_design_scores_gemma":[0.0007469581,0.00055674074,0.50369304,0.00017438104,0.003021291,0.0000024514154,0.00067834876,3.517751e-7,0.0000042470406,0.000005154461,0.49103135,0.00008566933],"about_ca_topic_score_codex":0.004286296,"about_ca_topic_score_gemma":0.0004877017,"teacher_disagreement_score":0.95167494,"about_ca_system_score_codex":0.00013585508,"about_ca_system_score_gemma":0.00028382093,"threshold_uncertainty_score":0.7117781},"labels":[],"label_agreement":null},{"id":"W4394334324","doi":"10.6084/m9.figshare.20226687","title":"IMMEDIATE ANALGESIC EFFECT OF 4KHZ AMFS INTERFERENTIAL CURRENT ON CHRONIC LOW BACK PAIN","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Analgesic; Medicine; Anesthesia; Physical therapy","score_opus":0.015597194861872806,"score_gpt":0.2898660217348582,"score_spread":0.27426882687298537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394334324","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000112639944,0.004526223,1.5819771e-7,0.000052117444,0.001314261,0.0016432642,0.9921757,0.00005558501,0.00012003394],"genre_scores_gemma":[0.00040357825,0.0002527605,0.0000013833392,0.00021893812,0.0017159374,0.0007352113,0.9965293,0.000088346744,0.000054559558],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960595,0.00072632835,0.0007513987,0.00072282134,0.0011349091,0.00060505053],"domain_scores_gemma":[0.9966336,0.0008688109,0.0006588906,0.0014349419,0.00013209287,0.00027169567],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005051838,0.00073763053,0.001400331,0.0008385872,0.0000737354,0.000019497047,0.00074304675,0.0003888296,0.9019501],"category_scores_gemma":[0.0022160644,0.0006012732,0.00065452786,0.0006271722,0.00004972356,0.0000413548,0.000364286,0.0026887774,0.0023434954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006314565,0.00020927285,0.000015857333,0.02312592,0.0003426581,0.00017983532,0.00002186061,0.000004093632,0.000017679913,9.0237506e-8,0.9636509,0.011800367],"study_design_scores_gemma":[0.0033500462,0.009495714,0.00012477084,0.037038945,0.00037132885,0.00002064056,0.000007104365,0.000026455695,0.0005753269,0.000001591113,0.94855446,0.000433632],"about_ca_topic_score_codex":0.000017621136,"about_ca_topic_score_gemma":0.00001171456,"teacher_disagreement_score":0.89960665,"about_ca_system_score_codex":0.00042988954,"about_ca_system_score_gemma":0.00041296653,"threshold_uncertainty_score":0.99964386},"labels":[],"label_agreement":null},{"id":"W4394744459","doi":"10.1109/jerm.2024.3385335","title":"Surface Wave and Back Radiation Suppression in Microwave Breast Screening","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microwave; Radiation; Surface wave; Physics; Acoustics; Optics; Medical physics; Medicine; Telecommunications; Computer science","score_opus":0.024595396795380267,"score_gpt":0.30376887125912916,"score_spread":0.2791734744637489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394744459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9212234,0.07247148,0.00032481557,0.0051422645,0.0003254375,0.00017599933,0.0000045786255,0.000006252885,0.00032574678],"genre_scores_gemma":[0.9658402,0.030424977,0.0025134145,0.0005823465,0.00050295034,7.0069177e-7,0.000011580263,0.000018805073,0.00010498877],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99853116,0.00011845611,0.00064886315,0.00025951152,0.00010988398,0.00033214816],"domain_scores_gemma":[0.99922144,0.00030647172,0.00013670165,0.000097783544,0.00008318551,0.0001543964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085806503,0.00021210514,0.000613188,0.0006650638,0.000029429875,0.0000147315295,0.00005283632,0.00022205588,0.000041831263],"category_scores_gemma":[0.00008290433,0.0001449226,0.00004138114,0.0003369168,0.00047244082,0.00007733102,0.000025310606,0.0007020158,3.9572092e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004120715,0.000036238696,0.012764703,0.00021346309,0.000059920756,0.00028869585,0.001196725,8.858187e-7,0.9252601,0.00007707596,0.0012326824,0.058457434],"study_design_scores_gemma":[0.049784724,0.060222957,0.39177,0.02730209,0.0019812111,0.16298057,0.0062845154,0.0065177297,0.24673587,0.016084855,0.02839334,0.0019421186],"about_ca_topic_score_codex":0.000038164777,"about_ca_topic_score_gemma":0.00001371018,"teacher_disagreement_score":0.67852426,"about_ca_system_score_codex":0.000029380308,"about_ca_system_score_gemma":0.00006895513,"threshold_uncertainty_score":0.5909772},"labels":[],"label_agreement":null},{"id":"W4394927909","doi":"10.1016/j.joca.2024.02.288","title":"Obesity subtypes and relationship with physical function, pain, and quality of life: the Multicenter Osteoarthritis (MOST) Study","year":2024,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Osteoarthritis; Medicine; Obesity; Quality of life (healthcare); Physical therapy; Internal medicine; Alternative medicine; Pathology","score_opus":0.012995995050731875,"score_gpt":0.25255408196250245,"score_spread":0.23955808691177058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394927909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98379445,0.014090673,0.00002873101,0.00053635373,0.00009463413,0.00082334015,0.000033525503,0.000061332685,0.00053696067],"genre_scores_gemma":[0.9991227,0.00011785763,0.0000323568,0.00032881854,0.00017290786,0.000052132615,0.000013813793,0.000024422769,0.00013499275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848306,0.00032337324,0.0003144783,0.00035776678,0.00032670595,0.00019459816],"domain_scores_gemma":[0.9988458,0.0005174167,0.00006626608,0.00028616158,0.00012635937,0.0001580019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009442026,0.00018991865,0.00039227022,0.00008205628,0.00019599125,0.00006321353,0.000038138358,0.000066339504,0.000027134196],"category_scores_gemma":[0.00025289293,0.00012337581,0.000048940634,0.00027154956,0.00052544614,0.00013055703,0.000047323232,0.00029455416,0.0000020313225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068465306,0.00019431803,0.94886947,0.00040635568,0.000048327616,0.00006760175,0.0064237146,2.5168183e-7,0.006617844,0.0011002028,0.00016328997,0.035423987],"study_design_scores_gemma":[0.0058891675,0.007909623,0.9731631,0.0007817391,0.0004240839,0.00008109059,0.009376315,0.000024124674,0.0006390492,0.0003329457,0.0011407243,0.00023800346],"about_ca_topic_score_codex":0.000041572053,"about_ca_topic_score_gemma":0.0002806007,"teacher_disagreement_score":0.03518598,"about_ca_system_score_codex":0.000008049555,"about_ca_system_score_gemma":0.0000414955,"threshold_uncertainty_score":0.50311196},"labels":[],"label_agreement":null},{"id":"W4396587478","doi":"10.1158/1538-7445.sabcs23-po3-07-08","title":"Abstract PO3-07-08: Breast density estimation with a microwave-frequency imaging system","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Microwave; Medicine; Estimation; Microwave imaging; Breast cancer; Breast density; Mammography; Internal medicine; Telecommunications; Cancer; Computer science; Engineering","score_opus":0.029277788033384156,"score_gpt":0.36712312598868596,"score_spread":0.3378453379553018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396587478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96913743,0.0075185127,0.0015991275,0.0046229037,0.00041661214,0.0010159541,0.000049320388,0.0004010482,0.015239089],"genre_scores_gemma":[0.9972338,0.0000766859,0.0013967868,0.00009591524,0.00061476417,0.00014071318,0.000034001336,0.0000649498,0.000342388],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974788,0.00008369894,0.00026507073,0.00047447937,0.001078986,0.00061897055],"domain_scores_gemma":[0.9984452,0.00014315083,0.00003634378,0.0004983311,0.0006227496,0.00025421986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012821788,0.00018525586,0.00028013697,0.00057793845,0.00018317,0.00011082141,0.00017285414,0.00007989198,0.00044040193],"category_scores_gemma":[0.00006153737,0.00013644453,0.00007634422,0.0010099739,0.0003740317,0.00018883726,0.000046340043,0.0009982807,0.00036752934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011204397,0.0001440404,0.0409099,0.011185492,0.00061685435,0.008850403,0.0030548726,0.000033157106,0.73168933,0.0042456826,0.015161883,0.18298794],"study_design_scores_gemma":[0.01087268,0.001492621,0.67791986,0.09547159,0.0012619232,0.028266968,0.010486365,0.01963506,0.14398478,0.00392779,0.004492767,0.002187609],"about_ca_topic_score_codex":0.0011262053,"about_ca_topic_score_gemma":0.000037049333,"teacher_disagreement_score":0.6370099,"about_ca_system_score_codex":0.00083952583,"about_ca_system_score_gemma":0.00083628885,"threshold_uncertainty_score":0.55640465},"labels":[],"label_agreement":null},{"id":"W4398166132","doi":"10.1152/physiol.2024.39.s1.1138","title":"Effect of Heat Exposure on Inflammation and Platelet Activity in Adults with Heart Disease","year":2024,"lang":"en","type":"article","venue":"Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Inflammation; Platelet; Disease; Medicine; Cardiology; Platelet activation; Internal medicine; Physiology; Immunology","score_opus":0.003830353924609606,"score_gpt":0.24986690063867423,"score_spread":0.2460365467140646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398166132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984118,0.00030784012,0.000002792342,0.0006474357,0.000069880014,0.00039358676,0.0000061435226,0.000034833865,0.00012569205],"genre_scores_gemma":[0.9996865,0.000028066439,0.000011574609,0.00007953186,0.0001182806,0.000037250393,0.000020728803,0.000011468046,0.000006605222],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993953,0.00010938425,0.00009718579,0.00018614714,0.00009383271,0.000118167314],"domain_scores_gemma":[0.9995178,0.00024113993,0.000014704126,0.00015232351,0.000015471276,0.000058559224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013222628,0.00010273295,0.00026886203,0.00015108552,0.000010783974,0.0000016503062,0.000019946765,0.00005078,0.000018441222],"category_scores_gemma":[0.000050028186,0.00006472278,0.000028159064,0.00015702547,0.00010963979,0.000038187805,0.000010143921,0.00017980843,0.0000041944413],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.034072362,0.00011637035,0.034860615,0.004776401,0.000087662534,0.00016299095,0.0009002215,0.00011007654,0.90598303,0.00020319183,0.00015954344,0.018567529],"study_design_scores_gemma":[0.0032515437,0.008335259,0.9106553,0.0022205482,0.00005950296,0.000019927771,0.000017200382,0.0009162329,0.07413048,0.0002197871,0.00008035273,0.000093830975],"about_ca_topic_score_codex":0.000023554989,"about_ca_topic_score_gemma":0.0000025725265,"teacher_disagreement_score":0.8757947,"about_ca_system_score_codex":0.000015406258,"about_ca_system_score_gemma":0.000023532824,"threshold_uncertainty_score":0.26393184},"labels":[],"label_agreement":null},{"id":"W4398167135","doi":"10.1152/physiol.2024.39.s1.394","title":"Influence of home-based heat therapy on thermal and cardiovascular strain during passive heat exposure in older adults","year":2024,"lang":"en","type":"article","venue":"Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Strain (injury); Medicine; Heat stress; Internal medicine; Biology; Animal science","score_opus":0.005414533732966736,"score_gpt":0.22909586105139257,"score_spread":0.22368132731842583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398167135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99201405,0.006998427,0.0000027349977,0.00026654365,0.00009658332,0.00049106224,0.000019564095,0.000052738884,0.000058305206],"genre_scores_gemma":[0.9989273,0.0003655742,0.000024786756,0.00040340173,0.00016362472,0.00006308886,0.000019389017,0.000028763265,0.0000040645527],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987543,0.00013088448,0.00024996337,0.00038475072,0.00020655913,0.0002735039],"domain_scores_gemma":[0.9993383,0.00012892635,0.00001689107,0.00039314458,0.000056045166,0.000066668275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001450444,0.00019720153,0.0005333665,0.000270583,0.000025439827,0.0000035132975,0.00007730773,0.00013379334,0.000047265417],"category_scores_gemma":[0.00002684491,0.00014455356,0.00017931506,0.00028059736,0.00023571798,0.000041939773,0.000017845214,0.0003325584,0.0000033150702],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017354075,0.00021447167,0.008095168,0.0008187639,0.00048124822,0.0002618987,0.002959488,0.0064382744,0.9704761,0.00004615003,0.000012085035,0.008460933],"study_design_scores_gemma":[0.0053532925,0.00083824765,0.9533545,0.0012689489,0.00004263108,0.000020657124,0.00017025843,0.00020322915,0.038519453,0.00007462083,0.000024322391,0.00012986423],"about_ca_topic_score_codex":0.000098796,"about_ca_topic_score_gemma":0.0000018618123,"teacher_disagreement_score":0.94525933,"about_ca_system_score_codex":0.00002587021,"about_ca_system_score_gemma":0.000054667205,"threshold_uncertainty_score":0.5894723},"labels":[],"label_agreement":null},{"id":"W4398175128","doi":"10.1152/physiol.2024.39.s1.683","title":"Responses of Healthy Young and Older Adults to Short-Term Passive Heat Acclimation","year":2024,"lang":"en","type":"article","venue":"Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Montreal Heart Institute","funders":"","keywords":"Term (time); Acclimatization; Medicine; Gerontology; Biology; Physiology; Environmental health; Ecology; Physics","score_opus":0.013373819154753868,"score_gpt":0.32084616458309245,"score_spread":0.30747234542833857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398175128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492943,0.0011997473,0.00006694028,0.0025710107,0.00039678533,0.00045713264,0.000019692467,0.000063881256,0.00029537905],"genre_scores_gemma":[0.99813426,0.00022804673,0.0002467837,0.00097413536,0.00026149693,0.000048843045,0.000041806452,0.000018378887,0.000046249846],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99909943,0.00007141569,0.0002430442,0.0002650114,0.000118044205,0.00020302233],"domain_scores_gemma":[0.9993905,0.00018223644,0.000019618758,0.000217479,0.00008539348,0.00010479721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011433822,0.00011537103,0.0003102764,0.00025314657,0.00003026517,0.000003697456,0.000046745117,0.00008233349,0.0000845023],"category_scores_gemma":[0.00009873063,0.00008913967,0.000052165786,0.00023207917,0.00011389932,0.000042017953,0.000037029487,0.00014977381,0.000013425912],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035739867,0.00009207688,0.0078044506,0.0012143976,0.00012256303,0.00005075657,0.006358372,0.0000015388824,0.96755147,0.0005014712,0.0019486059,0.010780327],"study_design_scores_gemma":[0.0007967089,0.0017139582,0.9850452,0.001057179,0.00008588576,0.0001139327,0.0005170435,0.00018964241,0.009828428,0.00029207024,0.00024792404,0.00011204184],"about_ca_topic_score_codex":0.00003438338,"about_ca_topic_score_gemma":0.000004513505,"teacher_disagreement_score":0.97724074,"about_ca_system_score_codex":0.000026470214,"about_ca_system_score_gemma":0.00005004115,"threshold_uncertainty_score":0.363501},"labels":[],"label_agreement":null},{"id":"W4398175403","doi":"10.1152/physiol.2024.39.s1.1014","title":"Cold-water foot immersion and physiological strain of adults with coronary artery disease during hot and humid heat exposure","year":2024,"lang":"en","type":"article","venue":"Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Coronary artery disease; Strain (injury); Medicine; Cardiology; Internal medicine","score_opus":0.010428353383614551,"score_gpt":0.23169466641143904,"score_spread":0.22126631302782448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398175403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965621,0.0024712442,0.000005495435,0.0003735175,0.00009180626,0.00036198346,0.000042056497,0.000056334222,0.000035416826],"genre_scores_gemma":[0.9990378,0.0003036927,0.00007282553,0.00022792934,0.00017970131,0.000030132202,0.00009766855,0.000022001488,0.000028265367],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99894536,0.00006598882,0.0001947339,0.00039772244,0.00012278282,0.00027339053],"domain_scores_gemma":[0.99950427,0.000060372342,0.000021474221,0.00020838983,0.00003875086,0.00016672222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006735279,0.00019190817,0.00038941068,0.00010804984,0.000053865755,0.0000044027115,0.00004523818,0.00008854211,0.00011025227],"category_scores_gemma":[0.000009032351,0.00010965224,0.000055205568,0.0000842157,0.0005110613,0.000053781947,0.00006303289,0.00021822624,0.0000036168435],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004280209,0.00009918272,0.0045743855,0.0011169796,0.00014803807,0.00033523142,0.0006765093,0.000003956247,0.9881073,0.00007558395,0.000062198655,0.0005203994],"study_design_scores_gemma":[0.002672471,0.0031930294,0.963609,0.0008973365,0.0001825356,0.00020948488,0.00063361117,0.00012091996,0.02799163,0.00028088194,0.00003188004,0.00017722868],"about_ca_topic_score_codex":0.000005560914,"about_ca_topic_score_gemma":5.0194257e-7,"teacher_disagreement_score":0.9601157,"about_ca_system_score_codex":0.000012090533,"about_ca_system_score_gemma":0.000021709762,"threshold_uncertainty_score":0.44714886},"labels":[],"label_agreement":null},{"id":"W4399117933","doi":"10.1093/dmfr/twae025","title":"The influence of different cheek and lip retractors and emissivity on intraoral infrared thermography","year":2024,"lang":"en","type":"article","venue":"Dentomaxillofacial Radiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Cheek; Thermography; Retractor; Emissivity; Orthodontics; Dentistry; Medicine; Surgery; Infrared; Optics; Physics","score_opus":0.006499419422317468,"score_gpt":0.2605244274704422,"score_spread":0.2540250080481247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399117933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946103,0.002949485,0.000006464909,0.0005652216,0.00044926102,0.00038891478,0.000019506238,0.00009565846,0.00091519783],"genre_scores_gemma":[0.99753016,0.0018790021,0.000018911911,0.00030267506,0.00014060203,0.000024642552,0.000010217392,0.000024376346,0.0000694158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985307,0.00011074733,0.00037407747,0.00036402544,0.00027444315,0.00034602245],"domain_scores_gemma":[0.9989945,0.0003399709,0.000088223125,0.00032034406,0.00006727653,0.00018965114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035737376,0.00025166542,0.0004601711,0.00031203564,0.00012540254,0.000032605738,0.00013306244,0.00023501232,0.000023334893],"category_scores_gemma":[0.0003402919,0.00015006831,0.00011661559,0.00037412773,0.0012283005,0.000061497805,0.000055599983,0.00051895337,0.0000020372945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014516354,0.00015508113,0.7920494,0.00044384407,0.0008942677,0.00042614894,0.0040658806,0.000004831601,0.06796201,0.017218737,0.0005095349,0.11481861],"study_design_scores_gemma":[0.00071046804,0.0011325353,0.98976815,0.00019434231,0.00013426621,0.00033292003,0.000160694,0.00008482882,0.0012264608,0.0030970227,0.0030122737,0.00014603332],"about_ca_topic_score_codex":0.0000245747,"about_ca_topic_score_gemma":0.0000040405193,"teacher_disagreement_score":0.19771874,"about_ca_system_score_codex":0.000030222238,"about_ca_system_score_gemma":0.000043440676,"threshold_uncertainty_score":0.61196077},"labels":[],"label_agreement":null},{"id":"W4399305789","doi":"10.1088/1361-6560/ad53a0","title":"Time-domain diffuse optical imaging technique for monitoring rheumatoid arthritis disease activity: experimental validation in tissue-mimicking finger phantoms","year":2024,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rheumatoid arthritis; Biomedical engineering; Fourier domain; Pixel; Interphalangeal Joint; Finger joint; Medicine; Computer science; Artificial intelligence; Radiology; Optical coherence tomography; Internal medicine; Surgery","score_opus":0.06443034509718776,"score_gpt":0.3872518023443473,"score_spread":0.32282145724715955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399305789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773655,0.008746734,0.010174899,0.0019796116,0.00043176787,0.00096861226,0.00001007918,0.00009132772,0.00023146086],"genre_scores_gemma":[0.995894,0.0010842248,0.0015090046,0.00015148416,0.00089430256,0.0003453837,0.00007233049,0.000038128073,0.00001114091],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864835,0.00007294458,0.0003372923,0.00044068863,0.0001346038,0.00036611696],"domain_scores_gemma":[0.9992313,0.00037200464,0.00005039117,0.00018480424,0.000033588058,0.00012792891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053722365,0.0002308246,0.0005052752,0.0003443758,0.00004980521,0.000012546243,0.00007043621,0.00009224416,0.000027248443],"category_scores_gemma":[0.00014051014,0.00018759395,0.000053280524,0.00034136605,0.0004086595,0.00012500613,0.000052033134,0.00035461795,0.0000031937334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029948208,0.0002198695,0.009569506,0.00019564353,0.000030464365,0.00016006512,0.0013487374,0.0000019935137,0.92757,0.0010146465,0.00009586719,0.05949376],"study_design_scores_gemma":[0.014575316,0.0022179356,0.006600874,0.017112348,0.00013517302,0.0003293309,0.0027184517,0.0056649423,0.9130994,0.033503007,0.0030802477,0.00096294825],"about_ca_topic_score_codex":0.000032504533,"about_ca_topic_score_gemma":6.333151e-7,"teacher_disagreement_score":0.05853081,"about_ca_system_score_codex":0.00009510705,"about_ca_system_score_gemma":0.000047873116,"threshold_uncertainty_score":0.7649859},"labels":[],"label_agreement":null},{"id":"W4399674891","doi":"10.7759/cureus.62369","title":"Effects of the COVID-19 Pandemic on Hand and Arm Dysfunction: A Google Trends Analysis","year":2024,"lang":"en","type":"article","venue":"Cureus","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Betacoronavirus; Internal medicine; Outbreak; Infectious disease (medical specialty); Disease","score_opus":0.019657038524457698,"score_gpt":0.3031164610876261,"score_spread":0.28345942256316836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399674891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9762197,0.012872375,0.0006032467,0.0026166649,0.0008210631,0.00028897962,0.000017569524,0.00013045211,0.0064299386],"genre_scores_gemma":[0.99619216,0.00020825476,0.000025555491,0.0014588165,0.00021611841,0.00002068057,0.000010807763,0.000013852275,0.0018537719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914384,0.00005886837,0.00016869107,0.00022871901,0.00026382034,0.00013606608],"domain_scores_gemma":[0.99912524,0.0003374994,0.000044743294,0.00032840937,0.000027714212,0.00013641709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000227825,0.00012544674,0.0002898083,0.00031575048,0.00007454765,0.000014247536,0.00007249926,0.000090305184,0.00031965243],"category_scores_gemma":[0.0002463709,0.00007243429,0.00019917307,0.0013860904,0.0002380437,0.000024807727,0.000026095864,0.00022035198,0.0000043124696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017633595,0.0011667835,0.6602751,0.0058932356,0.019112788,0.0008163919,0.016748033,0.00018335885,0.11602597,0.0070201578,0.07328533,0.09770949],"study_design_scores_gemma":[0.009649138,0.004828171,0.7187541,0.0014267344,0.02877141,0.000635279,0.0005984733,0.0023000233,0.015185376,0.003093459,0.2141117,0.0006461457],"about_ca_topic_score_codex":0.00006189518,"about_ca_topic_score_gemma":0.00003242507,"teacher_disagreement_score":0.14082637,"about_ca_system_score_codex":0.00007845652,"about_ca_system_score_gemma":0.00006471036,"threshold_uncertainty_score":0.34999698},"labels":[],"label_agreement":null},{"id":"W4399693979","doi":"10.1016/j.infrared.2024.105399","title":"Review on the evolving role of infrared thermography in oncological applications","year":2024,"lang":"en","type":"article","venue":"Infrared Physics & Technology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Kathmandu University","keywords":"Thermography; Data science; Computer science; Field (mathematics); Scopus; Resource (disambiguation); Medical physics; Medicine; MEDLINE","score_opus":0.013180422196862152,"score_gpt":0.2876742095337623,"score_spread":0.27449378733690016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399693979","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12345022,0.48656258,0.0034907688,0.029582847,0.00060472154,0.012395148,0.00018351855,0.0033047781,0.3404254],"genre_scores_gemma":[0.9858658,0.007493249,0.0009640636,0.003656762,0.0002215263,0.0015665808,0.000044485303,0.000065192384,0.00012235245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981115,0.00008511298,0.00062808377,0.0004484066,0.0003336377,0.00039325288],"domain_scores_gemma":[0.9980192,0.000460783,0.00015394232,0.0011216127,0.00018305895,0.00006138053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004357569,0.00028930715,0.0006603053,0.0006606261,0.00006914005,0.000011896414,0.00050854124,0.00033313796,0.0002466119],"category_scores_gemma":[0.00022732688,0.00019106509,0.0002729366,0.004464947,0.0006837117,0.00006972951,0.00012033645,0.0012046845,0.000059355534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014609382,0.0013130821,0.010813085,0.0040391805,0.0007486505,0.00013606019,0.0009943404,0.000010399954,0.07371821,0.53994054,0.023554176,0.34458616],"study_design_scores_gemma":[0.0010285466,0.001261488,0.005837103,0.016542094,0.0004449213,0.000096358825,0.0008492483,0.000508433,0.016235627,0.7979125,0.1587884,0.00049527915],"about_ca_topic_score_codex":0.000006948056,"about_ca_topic_score_gemma":7.955386e-7,"teacher_disagreement_score":0.86241555,"about_ca_system_score_codex":0.0000965921,"about_ca_system_score_gemma":0.00016208428,"threshold_uncertainty_score":0.77914083},"labels":[],"label_agreement":null},{"id":"W4399702723","doi":"10.1007/s00403-024-03166-y","title":"Is thermography an effective screening tool for differentiating benign and malignant skin lesions in the head and neck? A systematic review","year":2024,"lang":"en","type":"review","venue":"Archives of Dermatological Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Medicine; MEDLINE; Head and neck; Systematic review; Thermography; Radiology; Dermatology; Web of science; Diagnostic accuracy; Meta-analysis; Pathology; Surgery","score_opus":0.13543071301794946,"score_gpt":0.4528016787364117,"score_spread":0.31737096571846224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399702723","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033374438,0.983212,0.00011692675,0.00035393212,0.000013768891,0.012420098,0.000077785524,0.000026478045,0.00044155787],"genre_scores_gemma":[0.007696591,0.9882441,0.0010236194,0.00023127077,0.000036332567,0.0026134173,0.00007188917,0.000050597908,0.000032170024],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9939055,0.0028129902,0.0012106015,0.0007127516,0.00074868754,0.000609464],"domain_scores_gemma":[0.9883205,0.010442201,0.0002550722,0.0007223175,0.000086091815,0.00017376884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026063365,0.0004626087,0.0033403311,0.0009662864,0.00020012473,0.00005514212,0.00047182772,0.00022594778,0.000009179276],"category_scores_gemma":[0.0019275971,0.00021494547,0.00068374607,0.0007224133,0.00087841606,0.000048217233,0.0002896629,0.0014076172,0.0000017061732],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041865012,0.000102146885,0.00017214012,0.7456122,0.00036966885,0.000117085794,0.0011112983,4.095111e-9,0.0000040791115,0.0013559079,0.000042653377,0.25107095],"study_design_scores_gemma":[0.00066442124,0.0009856303,0.0023273358,0.98575366,0.0032170722,0.0009795678,0.00032051074,0.000084427746,0.0000042581833,0.0038559434,0.0015489332,0.00025822443],"about_ca_topic_score_codex":0.000006424416,"about_ca_topic_score_gemma":0.0000019576914,"teacher_disagreement_score":0.2508127,"about_ca_system_score_codex":0.000013874574,"about_ca_system_score_gemma":0.000082537335,"threshold_uncertainty_score":0.8765222},"labels":[],"label_agreement":null},{"id":"W4399761881","doi":"10.1016/j.physio.2024.04.253","title":"Using ultrasound elastography techniques to assess conservative interventions for musculoskeletal stiffness: a systematic review and meta-analysis","year":2024,"lang":"en","type":"review","venue":"Physiotherapy","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"","keywords":"Meta-analysis; Medicine; Psychological intervention; Ultrasound; Systematic review; Ultrasound elastography; Elastography; Physical therapy; Physical medicine and rehabilitation; MEDLINE; Radiology; Pathology","score_opus":0.2237934705909381,"score_gpt":0.512674924395133,"score_spread":0.28888145380419483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399761881","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000034407692,0.97283864,0.010768969,0.0001440221,0.000069750706,0.015246602,0.00067530444,0.00020740564,0.000045876262],"genre_scores_gemma":[0.0000076050724,0.98184043,0.007943644,0.0015956976,0.00012400319,0.0076925796,0.0002940875,0.00019812003,0.00030383325],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99592257,0.0005325075,0.0017621593,0.0009217676,0.00046652977,0.0003944535],"domain_scores_gemma":[0.9965472,0.0008558055,0.0008363559,0.0010895574,0.00043986388,0.00023122018],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0011019397,0.0009922438,0.013429179,0.0019227986,0.00012001103,0.0000897588,0.0003158707,0.00024559317,0.00021814853],"category_scores_gemma":[0.0002664139,0.00060189207,0.014004271,0.0040830523,0.00019083527,0.00009277864,0.00005209817,0.00046706173,0.0000072851244],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065316094,0.00008976873,2.69986e-7,0.71391624,0.28393075,0.0000036577576,0.00005017149,4.0828624e-8,0.000022238106,0.00010239529,0.0004543163,0.0014236182],"study_design_scores_gemma":[0.000104106635,0.00022297185,8.0235924e-7,0.27472666,0.7102627,0.000052084404,0.000032423708,9.290512e-7,0.0000025472925,0.0001290395,0.014089658,0.00037606113],"about_ca_topic_score_codex":0.000038660335,"about_ca_topic_score_gemma":0.000009275932,"teacher_disagreement_score":0.43918958,"about_ca_system_score_codex":0.0001569262,"about_ca_system_score_gemma":0.000147425,"threshold_uncertainty_score":0.99964327},"labels":[],"label_agreement":null},{"id":"W4399786829","doi":"10.1093/neuonc/noae064.666","title":"NURS-18. GERMINOMA PATIENTS – MORE PRONE TO PSYCHIATRIC DISORDERS, ALLERGIES, AND WEIGHT PROBLEMS? AN INSTITUTIONAL REVIEW","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Psychiatry; Medicine; Allergy; Pediatrics; Psychology; Immunology","score_opus":0.01508636337774292,"score_gpt":0.31023694844692534,"score_spread":0.2951505850691824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399786829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8213603,0.071355924,0.00015297128,0.06665164,0.005696925,0.007080474,0.00009247341,0.00060959795,0.026999714],"genre_scores_gemma":[0.8585908,0.056985628,0.0074691763,0.07041193,0.0032396961,0.0016498448,0.00088780234,0.00027017726,0.0004949639],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978345,0.00014703567,0.0005195233,0.00066769903,0.0004139756,0.00041724474],"domain_scores_gemma":[0.99888283,0.000120913595,0.00008741588,0.00041370833,0.00012247439,0.0003726487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002706054,0.00029757834,0.00056693575,0.00042394496,0.00012275802,0.000015620737,0.00017565537,0.0001909155,0.00034116488],"category_scores_gemma":[0.00019708823,0.00023569385,0.00009753406,0.0008012075,0.00028089082,0.00015509009,0.000084895146,0.0005381041,0.0000611309],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072613085,0.0027648956,0.06959924,0.009495645,0.00033545357,0.0008897128,0.0027309547,0.000012470416,0.006648227,0.003588892,0.36064586,0.5425625],"study_design_scores_gemma":[0.0020060195,0.0048803524,0.049830485,0.0012248757,0.00034159466,0.0004623553,0.00003255492,0.00010569805,0.000025802752,0.00042659344,0.9404036,0.0002600943],"about_ca_topic_score_codex":0.000014632715,"about_ca_topic_score_gemma":0.000014943617,"teacher_disagreement_score":0.5797577,"about_ca_system_score_codex":0.00014349406,"about_ca_system_score_gemma":0.0004584825,"threshold_uncertainty_score":0.96113163},"labels":[],"label_agreement":null},{"id":"W4400098955","doi":"10.33424/futurum506","title":"Can brain cooling revolutionise stroke treatment?","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Medicine; Environmental science; Physics; Thermodynamics","score_opus":0.014642464712301795,"score_gpt":0.2885965887083341,"score_spread":0.2739541239960323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400098955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6569364,0.01283615,0.002374879,0.060053002,0.00192693,0.0013197684,0.00011639011,0.0020871265,0.26234934],"genre_scores_gemma":[0.9351654,0.0001904745,0.0014871929,0.0017333954,0.0006705477,0.000028647282,0.00005399166,0.00003382713,0.060636543],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991129,0.000021975142,0.00018443468,0.00023028445,0.00020169324,0.00024869666],"domain_scores_gemma":[0.99941766,0.00010361911,0.000014016066,0.0002716679,0.00004263745,0.00015038432],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013886268,0.000140887,0.00020867099,0.00022567748,0.00006227701,0.000022522403,0.000041532385,0.00006999238,0.0011516394],"category_scores_gemma":[0.000063278756,0.0000973016,0.00013763836,0.000306756,0.00008313705,0.000038094502,0.000009990839,0.0001419671,0.00012071087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010184946,0.00082113233,0.034222856,0.0013804303,0.0035695415,0.0059401407,0.008241733,0.000032908712,0.19931142,0.09307539,0.37553805,0.2768479],"study_design_scores_gemma":[0.009907963,0.005957851,0.029995672,0.0029142261,0.0020025093,0.002304225,0.0028053615,0.009950183,0.034439705,0.0040085525,0.8946648,0.0010489166],"about_ca_topic_score_codex":0.00020823184,"about_ca_topic_score_gemma":0.000034836175,"teacher_disagreement_score":0.5191268,"about_ca_system_score_codex":0.00018528757,"about_ca_system_score_gemma":0.00015690028,"threshold_uncertainty_score":0.99976146},"labels":[],"label_agreement":null},{"id":"W4400114600","doi":"10.1109/i2mtc60896.2024.10561173","title":"Unsupervised Learning for Breast Abnormality Detection using Thermograms","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Abnormality; Computer science; Artificial intelligence; Pattern recognition (psychology); Unsupervised learning; Medicine","score_opus":0.022924599645947966,"score_gpt":0.30406423360689777,"score_spread":0.2811396339609498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400114600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9193996,0.0005631325,0.07291467,0.00033953183,0.00056815695,0.0006841489,0.0000078619805,0.0007285985,0.004794265],"genre_scores_gemma":[0.9962954,0.00001392394,0.0020648886,0.00024876642,0.0006220564,0.000031001782,0.00002164078,0.000051131163,0.00065120286],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891007,0.000041981133,0.00024546217,0.00027457313,0.0002273212,0.0003005808],"domain_scores_gemma":[0.99944067,0.00010236886,0.000026352043,0.00019308296,0.00012343124,0.000114073875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004991927,0.00016023633,0.0002242301,0.00021536641,0.00013135352,0.00004135854,0.000053449814,0.000117624826,0.0005395105],"category_scores_gemma":[0.00004724651,0.000120346886,0.00021418385,0.00047636573,0.00007554508,0.00011065117,0.000016217928,0.00031916416,0.000018016908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066874275,0.00011862697,0.011950549,0.0013075155,0.00055673736,0.000120804434,0.0011879825,0.00013608528,0.28945664,0.00081737706,0.0001059746,0.69357294],"study_design_scores_gemma":[0.008526969,0.0029403197,0.1565934,0.0028044644,0.002525325,0.009436023,0.0039853263,0.7128376,0.0700181,0.002618946,0.026309548,0.0014040273],"about_ca_topic_score_codex":0.00010605948,"about_ca_topic_score_gemma":0.0000053254703,"teacher_disagreement_score":0.71270144,"about_ca_system_score_codex":0.0000770256,"about_ca_system_score_gemma":0.000058264715,"threshold_uncertainty_score":0.5907262},"labels":[],"label_agreement":null},{"id":"W4400358571","doi":"10.2196/55834","title":"Novel Methodology for Identifying the Occurrence of Ovulation by Estimating Core Body Temperature During Sleeping: Validity and Effectiveness Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ovulation; Core temperature; Core (optical fiber); Statistics; Computer science; Medicine; Mathematics; Internal medicine","score_opus":0.2537134784545136,"score_gpt":0.5243919567446467,"score_spread":0.2706784782901331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400358571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97710085,0.00052171625,0.018860195,0.00012350264,0.00031602723,0.0029075723,0.000088770896,0.000047692974,0.000033685228],"genre_scores_gemma":[0.9974285,0.000011016474,0.0018231174,0.000008520403,0.000119893055,0.0005396465,0.000043061846,0.000017901062,0.000008347101],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99758387,0.00073375687,0.00036833636,0.00030076868,0.00065161294,0.0003616451],"domain_scores_gemma":[0.9941563,0.004906632,0.00008869161,0.00026111808,0.00051504455,0.00007220195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0078009535,0.00015478597,0.00037554986,0.0003960954,0.00041344063,0.00005530336,0.00015383745,0.00010370225,0.000009388193],"category_scores_gemma":[0.0014246495,0.00010009374,0.000078549856,0.00085703516,0.00035958062,0.00025234872,0.00013841652,0.00087826065,0.0000012387466],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009020939,0.00041281045,0.022980694,0.009164985,0.00039669304,0.000015972957,0.04461528,0.000030073452,0.9164278,0.00075742556,0.00055838213,0.0037377928],"study_design_scores_gemma":[0.005564511,0.0042589377,0.82974297,0.004811175,0.0002483615,0.0002189677,0.016650852,0.027207604,0.10832095,0.0025751702,0.00007927864,0.00032123976],"about_ca_topic_score_codex":0.000022561748,"about_ca_topic_score_gemma":9.2967156e-7,"teacher_disagreement_score":0.80810684,"about_ca_system_score_codex":0.00009031859,"about_ca_system_score_gemma":0.00007382737,"threshold_uncertainty_score":0.40817043},"labels":[],"label_agreement":null},{"id":"W4400598033","doi":"10.1093/dmfr/twae032","title":"Hypervigilance to pain and sleep quality are confounding variables in the infrared thermography examination of the temporomandibular joint and temporal and masseter muscles","year":2024,"lang":"en","type":"article","venue":"Dentomaxillofacial Radiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Hypervigilance; Temporomandibular joint; Confounding; Medicine; Sleep quality; Thermography; Orthodontics; Temporomandibular Joint Disorder; Masseter muscle; Dentistry; Infrared; Internal medicine; Psychiatry; Insomnia; Anxiety; Physics","score_opus":0.020845100570611168,"score_gpt":0.28356400908442464,"score_spread":0.26271890851381346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400598033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928841,0.003961831,0.00021608887,0.0015678185,0.00023072842,0.0007207225,0.000028205899,0.000034315355,0.0003562095],"genre_scores_gemma":[0.9982885,0.00016479938,0.00024665482,0.0011151428,0.00008345411,0.00005325476,0.000015163585,0.00001652947,0.00001651323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802953,0.00068912614,0.000435708,0.00034697918,0.00025755158,0.00024112765],"domain_scores_gemma":[0.9991453,0.00032485093,0.00011724775,0.00028691135,0.000051349452,0.00007433047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030615882,0.00019488152,0.00044817696,0.00035343095,0.00009531549,0.000040098,0.00012427279,0.00014224226,0.000012394787],"category_scores_gemma":[0.00049142423,0.00011506844,0.000066285254,0.0005248142,0.0004900706,0.00007398848,0.0000730192,0.00026558441,3.333189e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096792544,0.0000341593,0.95779943,0.00040717088,0.00013511008,0.00009371938,0.008589313,9.885617e-7,0.013541582,0.0041391784,0.00007297312,0.015089586],"study_design_scores_gemma":[0.00070627173,0.00027589157,0.9926911,0.00030367338,0.000079026366,0.00026037698,0.001745151,0.00024673523,0.00014262345,0.0017524236,0.0016711807,0.00012554195],"about_ca_topic_score_codex":0.0001560769,"about_ca_topic_score_gemma":0.000053636155,"teacher_disagreement_score":0.034891676,"about_ca_system_score_codex":0.000025755766,"about_ca_system_score_gemma":0.000022997918,"threshold_uncertainty_score":0.46923548},"labels":[],"label_agreement":null},{"id":"W4400689326","doi":"10.1007/s00521-024-10097-2","title":"Retraction Note: A novel deep learning-based multi-model ensemble method for the prediction of neuromuscular disorders","year":2024,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":true,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Artificial intelligence; Ensemble learning; Machine learning","score_opus":0.024443286551977948,"score_gpt":0.33209545824278675,"score_spread":0.3076521716908088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400689326","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013217772,0.00054914964,0.983481,0.0014655846,0.00013425921,0.00089929026,0.000013305678,0.00017662499,0.00006302148],"genre_scores_gemma":[0.9475807,0.0000358275,0.051754076,0.00019840333,0.00020005538,0.00012228216,0.000043906373,0.000024654228,0.00004007889],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922836,0.000027596392,0.00021777026,0.00024778358,0.00014764805,0.00013086874],"domain_scores_gemma":[0.9989809,0.0006293449,0.00007002396,0.0001871317,0.00008835316,0.00004427963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032036597,0.00010427727,0.00014116864,0.000100197954,0.00024245442,0.000017146956,0.000056520235,0.00008417932,0.000001476242],"category_scores_gemma":[0.00009183546,0.00007612874,0.000111275855,0.00031982543,0.000075016345,0.00002638799,0.000014026368,0.00038801838,4.570714e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009598775,0.00023106408,0.0007194882,0.0007146723,0.000103326245,5.666924e-7,0.0007109266,0.30058682,0.21096012,0.0014923558,0.00017480184,0.48420987],"study_design_scores_gemma":[0.0006537911,0.00015531457,0.0042387177,0.00006686829,0.00024329801,0.000016283944,0.000063145664,0.98911333,0.00083185674,0.00012654724,0.0044376613,0.00005321007],"about_ca_topic_score_codex":0.000015095264,"about_ca_topic_score_gemma":0.0000027718752,"teacher_disagreement_score":0.93436295,"about_ca_system_score_codex":0.000013748283,"about_ca_system_score_gemma":0.000027406766,"threshold_uncertainty_score":0.310444},"labels":[{"model":"gemma","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"gpt","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W4401072449","doi":"10.1109/memea60663.2024.10596861","title":"Improved Detection of Abnormality in Grayscale Breast Thermal Images Using Binary Encoding","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grayscale; Abnormality; Encoding (memory); Computer science; Binary number; Artificial intelligence; Pattern recognition (psychology); Image (mathematics); Mathematics; Medicine; Arithmetic","score_opus":0.01292373049751583,"score_gpt":0.27604862250706924,"score_spread":0.2631248920095534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401072449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921496,0.0006310444,0.0015557173,0.0001382645,0.00032295025,0.00026382794,0.000009353388,0.00012782462,0.0048014433],"genre_scores_gemma":[0.9983825,0.000024905612,0.0012164612,0.00006408634,0.00017917708,0.0000069053135,0.000004852587,0.00002240278,0.00009872472],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989747,0.0000488493,0.00034835216,0.00021178006,0.00018948998,0.00022684231],"domain_scores_gemma":[0.99954355,0.00007696275,0.000043719247,0.00020984627,0.00006292913,0.00006301033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043510628,0.00013213963,0.00025265114,0.00041787102,0.000029592398,0.000010144692,0.0000577828,0.00009308785,0.00022110244],"category_scores_gemma":[0.00003189106,0.00010126186,0.00011348517,0.00063500035,0.0001254263,0.00016276284,0.00003269069,0.00027726917,0.0000027831425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015975282,0.00006658574,0.0118119605,0.0004280374,0.00004533976,0.0001196103,0.00040077334,0.000009909779,0.9751436,0.00004888336,0.000010004407,0.011755542],"study_design_scores_gemma":[0.0016345957,0.0004837086,0.28888553,0.0014686998,0.0002088205,0.0012412195,0.0009940921,0.03244504,0.672118,0.00022365505,0.000038051225,0.00025859362],"about_ca_topic_score_codex":0.00059881783,"about_ca_topic_score_gemma":0.000017163537,"teacher_disagreement_score":0.3030256,"about_ca_system_score_codex":0.000091058224,"about_ca_system_score_gemma":0.00008323947,"threshold_uncertainty_score":0.4129339},"labels":[],"label_agreement":null},{"id":"W4401197937","doi":"10.1016/j.eswa.2024.124879","title":"A scale-equivariant CNN-based method for estimating human weight and height from multi-view clinic silhouette images","year":2024,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Silhouette; Equivariant map; Computer science; Scale (ratio); Artificial intelligence; Computer vision; Pattern recognition (psychology); Mathematics; Cartography; Geography","score_opus":0.028003472488757928,"score_gpt":0.37173460983673096,"score_spread":0.343731137347973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401197937","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008302793,0.016090255,0.9748655,0.0025399039,0.00027476755,0.004159718,0.00021043366,0.00047899436,0.0005501352],"genre_scores_gemma":[0.06337601,0.000060183596,0.92036206,0.00092831405,0.0019120087,0.011708736,0.0005411307,0.00015347905,0.00095811236],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782026,0.00010925254,0.00068048097,0.00074333895,0.00030387123,0.00034281396],"domain_scores_gemma":[0.9978329,0.00081210496,0.00017026308,0.0007599351,0.00017727692,0.000247533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064491923,0.0003302747,0.0006641709,0.0002319812,0.00032867314,0.00009768576,0.00016374087,0.00015516975,0.00008058568],"category_scores_gemma":[0.000046365127,0.00021196454,0.00013631758,0.0004276623,0.00018129527,0.00008522047,0.00002633442,0.00027675412,0.00003508048],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011401504,0.003066294,0.010323055,0.020795612,0.006611185,0.00042966692,0.020232357,0.00023778975,0.51964855,0.012285561,0.12562898,0.27960077],"study_design_scores_gemma":[0.013241381,0.0014561341,0.002621253,0.016409136,0.002471244,0.00044155112,0.002358857,0.5272542,0.012310492,0.0010446701,0.4186355,0.0017555911],"about_ca_topic_score_codex":0.00030971624,"about_ca_topic_score_gemma":0.00000885283,"teacher_disagreement_score":0.5270164,"about_ca_system_score_codex":0.00006990635,"about_ca_system_score_gemma":0.00012860211,"threshold_uncertainty_score":0.8643663},"labels":[],"label_agreement":null},{"id":"W4401553014","doi":"10.1007/s00403-024-03266-9","title":"Influence of sex, age and ethnicity on the facial temperature","year":2024,"lang":"en","type":"letter","venue":"Archives of Dermatological Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Ethnic group; Medicine; Demography; Sociology","score_opus":0.0585557932304558,"score_gpt":0.36553504036372025,"score_spread":0.30697924713326447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401553014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6621865,0.00092290074,4.9217755e-7,0.32429165,0.000030383986,0.00068514235,0.00009078107,0.000027591555,0.011764522],"genre_scores_gemma":[0.87526804,0.0009883189,0.000115024915,0.1219451,0.00043330976,0.00006447178,0.0000804271,0.00003917086,0.0010661616],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959819,0.0009238581,0.00052090315,0.00049810664,0.0014930719,0.0005821981],"domain_scores_gemma":[0.99288553,0.0060565546,0.000101034064,0.0007126609,0.00012947258,0.000114772185],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007185244,0.0002928832,0.00086341484,0.00060409633,0.00011489729,0.000020395544,0.00056845264,0.00069322146,0.000057987312],"category_scores_gemma":[0.0020862268,0.0001484147,0.0002310734,0.0005198419,0.0045463457,0.000020150655,0.00041122627,0.007910191,0.000014868304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011355742,0.00029145557,0.006103559,0.0085015055,0.0009180168,0.022546764,0.005600663,0.000007098906,0.06459505,0.0051768776,0.87941086,0.0057125515],"study_design_scores_gemma":[0.0032377362,0.0059158336,0.22775912,0.017320195,0.00053173746,0.0022333239,0.0012721196,0.00011557237,0.061281774,0.10688667,0.57228655,0.001159392],"about_ca_topic_score_codex":0.000021848546,"about_ca_topic_score_gemma":8.2824e-7,"teacher_disagreement_score":0.30712438,"about_ca_system_score_codex":0.0000118224225,"about_ca_system_score_gemma":0.00014942288,"threshold_uncertainty_score":0.9981627},"labels":[],"label_agreement":null},{"id":"W4401637481","doi":"10.31579/2693-4779/181","title":"Reasons for the formation of scoliosis, a factor in the functioning of the body","year":2024,"lang":"en","type":"article","venue":"Clinical Research and Clinical Trials","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pedorthic Research Foundation of Canada","funders":"","keywords":"Scoliosis; Psychology; Factor (programming language); Physical medicine and rehabilitation; Orthodontics; Developmental psychology; Psychoanalysis; Medicine; Psychiatry; Computer science; Programming language","score_opus":0.5719062714371453,"score_gpt":0.625744023202218,"score_spread":0.05383775176507266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401637481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9507695,0.0073500895,0.00096574053,0.032940928,0.0015028672,0.0053566983,0.00008977203,0.000022253616,0.0010021465],"genre_scores_gemma":[0.99432194,0.0037481238,0.00006439825,0.0004734083,0.0011205946,0.00013051172,0.000004360045,0.000011698831,0.0001249903],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99145705,0.00435333,0.0027209444,0.0002808333,0.00087602035,0.0003118029],"domain_scores_gemma":[0.8542463,0.14401561,0.0003532454,0.000756511,0.0004861804,0.00014214442],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.090022825,0.000099173376,0.00079305994,0.00013356924,0.00014611095,0.000038989197,0.00036577572,0.00024730907,0.000055071792],"category_scores_gemma":[0.18886892,0.00003711234,0.0007464273,0.0008802308,0.0014635008,0.00006480098,0.000101823505,0.0014124406,0.00000346309],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.021999829,0.0035631745,0.35090142,0.0029595066,0.0022422627,0.000026002162,0.002399452,0.000002457039,0.0020246138,0.036904756,0.076725416,0.5002511],"study_design_scores_gemma":[0.010995942,0.0101005705,0.9017702,0.005404157,0.0008666703,0.000019900674,0.0035925547,0.0029529308,0.0007030973,0.0264677,0.03697513,0.00015117436],"about_ca_topic_score_codex":0.000026301315,"about_ca_topic_score_gemma":0.000016394473,"teacher_disagreement_score":0.55086875,"about_ca_system_score_codex":0.000015546224,"about_ca_system_score_gemma":0.00035860797,"threshold_uncertainty_score":0.937013},"labels":[],"label_agreement":null},{"id":"W4401823882","doi":"10.2147/jpr.s472648","title":"Investigating the Effectiveness of Electroacupuncture for Diabetic Peripheral Neuropathy and Exploring the Feasibility of Infrared Thermography as an Efficacy Assessment Tool: Study Protocol for a Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"Journal of Pain Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"State Administration of Traditional Chinese Medicine of the People's Republic of China","keywords":"Medicine; Electroacupuncture; Randomized controlled trial; Protocol (science); Physical therapy; Thermography; Physical medicine and rehabilitation; Acupuncture; Peripheral; Alternative medicine; Internal medicine; Infrared; Pathology","score_opus":0.10148368441562866,"score_gpt":0.4584271426189868,"score_spread":0.35694345820335815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401823882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6970179,0.0001258436,0.00079759315,0.0002761218,0.00011029597,0.30162463,0.0000028062977,0.000009590647,0.00003523227],"genre_scores_gemma":[0.79386,0.000006445164,0.00040284466,0.000035819365,0.00038204723,0.20526853,0.0000012815283,0.00003543304,0.0000075770026],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.97952753,0.016980369,0.0013893644,0.00028829952,0.0014174809,0.0003969812],"domain_scores_gemma":[0.9507788,0.04663924,0.0004854282,0.0004579817,0.0015038808,0.00013468445],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.113239065,0.00025014958,0.0018235635,0.0004892537,0.0002323236,0.00009258569,0.00034994833,0.00007313809,0.00001047837],"category_scores_gemma":[0.024621284,0.00009910959,0.0009097693,0.00079447625,0.0008034167,0.00013635845,0.000053336047,0.0010973858,1.869833e-8],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9572128,0.0011782887,0.0047290884,0.002030982,0.0015068634,0.000012439525,0.004047372,0.000021572207,0.026023887,0.0004509559,0.000038422328,0.002747294],"study_design_scores_gemma":[0.92326516,0.037844583,0.020423993,0.0016014447,0.00072933565,0.00001840525,0.0026739046,0.0032804382,0.0012274098,0.008800443,0.000032738968,0.00010212209],"about_ca_topic_score_codex":0.000010135695,"about_ca_topic_score_gemma":0.0000010851398,"teacher_disagreement_score":0.096842125,"about_ca_system_score_codex":0.000079485006,"about_ca_system_score_gemma":0.000776971,"threshold_uncertainty_score":0.9835947},"labels":[],"label_agreement":null},{"id":"W4401905023","doi":"10.2139/ssrn.4938622","title":"Intelligent Viscoelastic Characterization of Soft Tissues Based On Shear Wave Ultrasound Dispersion and Multi-Scale Wavelet Cross-Correlation Analysis","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Manitoba; Polytechnique Montréal","funders":"","keywords":"Viscoelasticity; Characterization (materials science); Dispersion (optics); Shear (geology); Scale (ratio); Wavelet; Materials science; Ultrasound; Acoustics; Composite material; Computer science; Physics; Artificial intelligence; Optics; Nanotechnology","score_opus":0.010333941317251403,"score_gpt":0.28173470961786806,"score_spread":0.27140076830061666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401905023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77857596,0.0015499828,0.21833329,0.0003019573,0.0005531591,0.0005024883,0.000059272938,0.000052241096,0.00007163765],"genre_scores_gemma":[0.9936474,0.0035348053,0.0008323482,0.00009033215,0.00045977993,0.0000137833995,0.0007823807,0.000077787954,0.00056135794],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965175,0.0001450503,0.00089159695,0.0005922687,0.00077426917,0.0010793103],"domain_scores_gemma":[0.99831444,0.0001634797,0.0005610609,0.00045094677,0.00033051768,0.00017952707],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015487334,0.00045679908,0.0008818675,0.0014775165,0.0001352944,0.00009137788,0.0001501804,0.00044841145,0.00015164334],"category_scores_gemma":[0.00022955937,0.00037240886,0.00045839642,0.0007100936,0.00022966455,0.000068723544,0.000102733946,0.004530892,0.000012427324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010156755,0.0045250896,0.33233723,0.006843316,0.03593414,0.00037570452,0.015052741,0.051729817,0.33958647,0.00551952,0.00006974717,0.19786946],"study_design_scores_gemma":[0.0038005533,0.0044447253,0.23889065,0.0050329575,0.015946563,0.00076892396,0.0010419526,0.70607555,0.008146137,0.014613134,0.00011381431,0.0011250431],"about_ca_topic_score_codex":0.000050931078,"about_ca_topic_score_gemma":0.00003273975,"teacher_disagreement_score":0.65434575,"about_ca_system_score_codex":0.0009269285,"about_ca_system_score_gemma":0.0010591986,"threshold_uncertainty_score":0.9998728},"labels":[],"label_agreement":null},{"id":"W4402050054","doi":"10.1097/gox.0000000000006111","title":"SCOPING: A Pilot Study Exploring the Role of A Series of Clinical Observational Parameters as Indicators of Nerve Regeneration","year":2024,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hand and Upper Limb Clinic","funders":"Queen Elizabeth Hospital Birmingham Charity","keywords":"Regeneration (biology); Observational study; Series (stratigraphy); Neuroscience; Medicine; Physical medicine and rehabilitation; Psychology; Biology; Internal medicine; Cell biology","score_opus":0.14846459549804614,"score_gpt":0.3676411186573284,"score_spread":0.21917652315928227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402050054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949792,0.00041362873,0.00006503553,0.00008954195,0.0017215855,0.0012780308,0.00010374436,0.000021984952,0.0013272442],"genre_scores_gemma":[0.9982471,0.00004615785,0.0013934573,0.000023072134,0.000105372535,0.00013489927,0.000026715483,0.000015701738,0.00000752603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970189,0.0003644414,0.0015026737,0.00035746157,0.00056367746,0.00019289178],"domain_scores_gemma":[0.9949786,0.0036985786,0.0005806267,0.00034463374,0.00029591192,0.000101623715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001798946,0.00019324673,0.00098925,0.00024985828,0.000053133925,0.000025907038,0.00025695225,0.0000532172,0.00009529861],"category_scores_gemma":[0.0037331565,0.00013752593,0.00020539836,0.0011873282,0.0007274218,0.000376968,0.00015163068,0.00023111953,0.0000029865396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002332872,0.0004355454,0.9626174,0.0002879256,0.0011726692,0.000028713106,0.0005156625,0.000032610034,0.00062445604,0.0067935875,0.000059695223,0.025098845],"study_design_scores_gemma":[0.0012201109,0.0045405105,0.9629565,0.005858111,0.0007198695,0.00018537416,0.0075783483,0.00014228435,0.010323123,0.006205968,0.000043571,0.00022623417],"about_ca_topic_score_codex":0.00038257107,"about_ca_topic_score_gemma":0.00003545306,"teacher_disagreement_score":0.02487261,"about_ca_system_score_codex":0.000052736374,"about_ca_system_score_gemma":0.0010632761,"threshold_uncertainty_score":0.5608145},"labels":[],"label_agreement":null},{"id":"W4402453437","doi":"10.20473/cimrj.v5i2.50751","title":"Knee Pain and Quality of Life among the Elderly","year":2024,"lang":"en","type":"article","venue":"Current Internal Medicine Research and Practice Surabaya Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Knee pain; Quality of life (healthcare); Medicine; Quality (philosophy); Physical medicine and rehabilitation; Physical therapy; Gerontology; Osteoarthritis; Alternative medicine; Nursing; Philosophy","score_opus":0.17902941779589793,"score_gpt":0.49054253474643117,"score_spread":0.31151311695053324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402453437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7339286,0.20473532,0.0015273051,0.0500073,0.001720859,0.0005668343,0.000009302537,0.000035047604,0.0074694175],"genre_scores_gemma":[0.9771864,0.019643541,0.00009497637,0.0003002575,0.0024393639,0.00001293266,0.0000050661774,0.000027879461,0.00028957316],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99350625,0.0028241097,0.00093170645,0.00030936315,0.001915738,0.00051282527],"domain_scores_gemma":[0.98020804,0.017142385,0.0002858094,0.00031842152,0.001230792,0.0008145506],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03490701,0.00021796925,0.000530089,0.0007030947,0.00026668503,0.00013385016,0.00022181922,0.00008992017,0.00039560816],"category_scores_gemma":[0.040667657,0.00011512668,0.000095029434,0.00066108373,0.002105507,0.0004314181,0.00011425129,0.0038516074,0.0000056717563],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004550109,0.0003276239,0.08552585,0.0025555266,0.0012580879,0.0005898167,0.0068845884,2.519214e-7,0.004524644,0.0043134326,0.044598684,0.8448714],"study_design_scores_gemma":[0.012196981,0.055370223,0.2819822,0.0425705,0.0012050538,0.01958288,0.060155407,0.0011362018,0.00034739872,0.0146685885,0.5099689,0.00081567763],"about_ca_topic_score_codex":0.0002799851,"about_ca_topic_score_gemma":0.000008478627,"teacher_disagreement_score":0.8440557,"about_ca_system_score_codex":0.00005807335,"about_ca_system_score_gemma":0.00036876212,"threshold_uncertainty_score":0.9984465},"labels":[],"label_agreement":null},{"id":"W4402556161","doi":"10.1249/01.mss.0001053440.20389.14","title":"Phase Angle Predicts Mild Cognitive Impairment In Female Health Screening Participants; Elder-safe Study Kyoto","year":2024,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cognitive impairment; Phase angle (astronomy); Medicine; Cognition; Psychology; Gerontology; Clinical psychology; Psychiatry","score_opus":0.04828137781989138,"score_gpt":0.3773987961485242,"score_spread":0.3291174183286328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402556161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886214,0.0020041438,0.00015671972,0.00133663,0.0011189006,0.0049827853,0.000012817645,0.00023856114,0.0015280454],"genre_scores_gemma":[0.996943,0.00052502105,0.0003832719,0.0009408344,0.00034270913,0.0004953477,0.000032034975,0.00006302729,0.00027473387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99245554,0.00013077082,0.0016548145,0.0014518318,0.0025132094,0.0017938042],"domain_scores_gemma":[0.9975193,0.00018038617,0.00023956977,0.0007743821,0.000235544,0.0010508],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008007034,0.0005544673,0.0013888538,0.0028316276,0.00024182028,0.00004074767,0.0004575951,0.000111020556,0.00095636107],"category_scores_gemma":[0.00046650303,0.0004259408,0.00011635082,0.006382898,0.0017712838,0.0005224355,0.00016532825,0.0009795409,0.00002260772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093732495,0.0039003075,0.8293958,0.00027701887,0.0000075471517,0.005953439,0.058583498,0.0000132831,0.00010353799,0.000005837538,0.0005601813,0.100262254],"study_design_scores_gemma":[0.011737597,0.007288851,0.91607296,0.016237715,0.00023539398,0.00008296636,0.046177737,0.0015049446,0.000069880916,0.000084667154,0.00015235388,0.00035494796],"about_ca_topic_score_codex":0.0017648415,"about_ca_topic_score_gemma":0.00024980388,"teacher_disagreement_score":0.09990731,"about_ca_system_score_codex":0.00041072836,"about_ca_system_score_gemma":0.0011403463,"threshold_uncertainty_score":0.9999569},"labels":[],"label_agreement":null},{"id":"W4402662433","doi":"10.1249/01.mss.0001061712.05523.54","title":"Spectral Analysis Of Cutaneous Vasodilation To Assess Sex-differences In The Response To Local Heating","year":2024,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Vasodilation; Spectral analysis; Internal medicine; Environmental science; Cardiology; Medicine; Physics","score_opus":0.02527102796217671,"score_gpt":0.32147499972227456,"score_spread":0.29620397176009783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402662433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918674,0.00013697782,0.0010629783,0.0043106354,0.0004326233,0.000978141,0.0000042915103,0.00005667943,0.0011502783],"genre_scores_gemma":[0.9979646,0.000043661526,0.00076850946,0.0008487673,0.00013113102,0.000059048016,0.000008074668,0.000015912243,0.00016024652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953589,0.00012026979,0.0009359343,0.00071810413,0.0022556372,0.000611198],"domain_scores_gemma":[0.9981187,0.0006237671,0.000096793476,0.0006995773,0.00016526609,0.00029587207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073065124,0.00026313975,0.00094795635,0.004851415,0.00009366308,0.00003358475,0.0005527453,0.00007667213,0.00033487764],"category_scores_gemma":[0.00092267006,0.00016239035,0.000113317656,0.017371738,0.0009436779,0.00016016378,0.00006478304,0.00045089054,0.0000058145292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007862923,0.00012372098,0.89714265,0.000084318024,0.000008788966,0.0021723462,0.040992882,0.0015266141,0.007201579,0.000038132068,0.00013812105,0.049784567],"study_design_scores_gemma":[0.0003186602,0.0007023267,0.97305506,0.0023344618,0.00048344175,0.00012426455,0.012976625,0.0093508735,0.00022773979,0.00015814014,0.000103937105,0.0001644483],"about_ca_topic_score_codex":0.0008396883,"about_ca_topic_score_gemma":0.00016964278,"teacher_disagreement_score":0.075912446,"about_ca_system_score_codex":0.00025155043,"about_ca_system_score_gemma":0.00042369464,"threshold_uncertainty_score":0.83465445},"labels":[],"label_agreement":null},{"id":"W4402662752","doi":"10.1249/01.mss.0001054560.67595.18","title":"Does Priming Exercise Enhance Sympatholysis?","year":2024,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Priming (agriculture); Physical medicine and rehabilitation; Medicine; Neuroscience; Psychology; Biology","score_opus":0.009595665425825864,"score_gpt":0.29102146721653555,"score_spread":0.2814258017907097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402662752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797911,0.0028016896,0.00018709055,0.0035726354,0.004298384,0.0012823641,0.0000031761317,0.00048782487,0.0075757434],"genre_scores_gemma":[0.99051213,0.003257866,0.0013171945,0.0005689676,0.0007390627,0.00017123934,0.00001648121,0.0000716474,0.003345393],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99333656,0.000029301069,0.0011532446,0.0014756662,0.0027800216,0.0012251963],"domain_scores_gemma":[0.99741584,0.00012940858,0.00016809841,0.0013150702,0.00031320105,0.0006583675],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0041216766,0.0005492479,0.0012182504,0.0025661879,0.00026000437,0.00007620192,0.0006959303,0.00017359391,0.0015217966],"category_scores_gemma":[0.00047844683,0.00030727888,0.00018757164,0.005962627,0.0030344187,0.0007388911,0.00016070534,0.0009042856,0.00007618232],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002555879,0.00031315399,0.2565364,0.0012711845,0.000004167041,0.008913738,0.020818084,0.000019607207,0.026160097,0.00010363979,0.0021199815,0.6834844],"study_design_scores_gemma":[0.0022842288,0.00064582785,0.89979964,0.0588327,0.0012333711,0.0005799059,0.009110872,0.0022705316,0.008422946,0.0034739035,0.012027509,0.0013185677],"about_ca_topic_score_codex":0.00014965865,"about_ca_topic_score_gemma":0.000008016527,"teacher_disagreement_score":0.6821658,"about_ca_system_score_codex":0.00031157257,"about_ca_system_score_gemma":0.00067018036,"threshold_uncertainty_score":0.99993795},"labels":[],"label_agreement":null},{"id":"W4402662910","doi":"10.1249/01.mss.0001056212.74133.71","title":"Differential Effects Of RAD140 Treatment On Rat Tibialis Anterior And Plantaris Muscle Cross-Sectional Areas","year":2024,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NOSM University","funders":"","keywords":"Plantaris muscle; Tibialis anterior muscle; Anatomy; Biology; Physical medicine and rehabilitation; Medicine; Skeletal muscle","score_opus":0.010590170525110607,"score_gpt":0.28955838705852643,"score_spread":0.2789682165334158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402662910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448353,0.0006738214,0.000014591508,0.00027261875,0.0025306905,0.00091004954,0.000009608078,0.00008971616,0.0010153827],"genre_scores_gemma":[0.99685335,0.001492247,0.00006312676,0.00014443659,0.00046163157,0.000056622117,0.00002592465,0.000028077542,0.0008745657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967581,0.000025669877,0.0006572489,0.0007696077,0.00130619,0.00048319885],"domain_scores_gemma":[0.9988173,0.00018829366,0.0001010836,0.00046520642,0.00010500869,0.000323112],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00060972007,0.00034120743,0.00078246853,0.0009990251,0.0001362104,0.000037670405,0.00018061449,0.00011144507,0.0011620722],"category_scores_gemma":[0.00015524054,0.00022268623,0.00011024547,0.0011065183,0.0021717402,0.00018543974,0.00004143139,0.0002887467,0.0000075761686],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060585636,0.00032507666,0.8097463,0.00051110797,0.000005692142,0.0018898667,0.0030234996,0.0000038560124,0.018216442,0.000017087426,0.00022275785,0.16543242],"study_design_scores_gemma":[0.0027556785,0.0017338267,0.98575747,0.005329515,0.00016549311,0.00022239478,0.0001349815,0.00031990113,0.0026912098,0.00010067376,0.0006133131,0.00017554499],"about_ca_topic_score_codex":0.0005862402,"about_ca_topic_score_gemma":0.000015672365,"teacher_disagreement_score":0.17601113,"about_ca_system_score_codex":0.00022981007,"about_ca_system_score_gemma":0.00023172125,"threshold_uncertainty_score":0.999751},"labels":[],"label_agreement":null},{"id":"W4403079253","doi":"10.1101/2024.09.30.24314501","title":"A Prototype Machine Learning Pipeline for Assessing and Tracking Keloid Scars","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Alberta; SKiN Health","funders":"University of Alberta","keywords":"Pipeline (software); Keloid; Computer science; Tracking (education); Artificial intelligence; Scars; Computer vision; Dermatology; Medicine; Operating system; Psychology; Surgery","score_opus":0.032105430319346366,"score_gpt":0.3295536057438544,"score_spread":0.297448175424508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403079253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95734596,0.018575635,0.005860404,0.0049598822,0.0018045788,0.0055446154,0.000060653936,0.0008236302,0.0050246445],"genre_scores_gemma":[0.9863641,0.00033088023,0.008985703,0.00031976815,0.0014483143,0.00065060164,0.00024464156,0.00022403318,0.0014319454],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973456,0.0001088195,0.00066116016,0.00089855207,0.00048353337,0.0005023165],"domain_scores_gemma":[0.9984765,0.0002378681,0.00025243417,0.0005154692,0.00028656382,0.0002311363],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015376771,0.00052979763,0.0009419426,0.00057629665,0.00015860304,0.0001632321,0.0001839378,0.00046741453,0.00013622968],"category_scores_gemma":[0.00072401157,0.00043859973,0.00031688815,0.00028781398,0.00019235654,0.000043017328,0.00042839046,0.0026677686,0.000014881918],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019614892,0.00045329053,0.26476443,0.04469511,0.0018881264,0.0013460302,0.006192052,0.00024832285,0.045221608,0.0009620284,0.0016092164,0.63065827],"study_design_scores_gemma":[0.02569181,0.005092769,0.1266144,0.10302901,0.017495206,0.0056546074,0.0026944806,0.32811323,0.034272987,0.059266154,0.2844818,0.007593556],"about_ca_topic_score_codex":0.000043663138,"about_ca_topic_score_gemma":0.00000505167,"teacher_disagreement_score":0.62306476,"about_ca_system_score_codex":0.000083842686,"about_ca_system_score_gemma":0.00020912172,"threshold_uncertainty_score":0.9998066},"labels":[],"label_agreement":null},{"id":"W4403108406","doi":"10.31674/mjmr.2024.v08i03.001","title":"The Effect of Temperature Difference in the Same Quarter on Blood Biochemical Levels in Patients with Cerebral Infarction in Northeast China and Hainan","year":2024,"lang":"en","type":"article","venue":"Malaysian Journal of Medical Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); China; Cerebral infarction; Medicine; Internal medicine; Cardiology; Geography; Ischemia","score_opus":0.009242552846982752,"score_gpt":0.3063542852278568,"score_spread":0.297111732380874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403108406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836185,0.0006682076,0.0000016435118,0.015091031,0.00007735483,0.00043342006,0.000003119169,0.0000026307628,0.00010411967],"genre_scores_gemma":[0.9996337,0.00007588948,0.000009436775,0.00007806809,0.0001633889,0.000013776974,0.0000026818504,0.000013255174,0.000009762864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951435,0.0009920726,0.0005170762,0.00018741404,0.002766554,0.00039343967],"domain_scores_gemma":[0.9980049,0.0014090735,0.00006314865,0.00022725848,0.000104008985,0.00019161786],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0071152966,0.00014494732,0.0003774149,0.00071598316,0.00004866023,0.00004017089,0.00035318162,0.00018375799,0.000047430094],"category_scores_gemma":[0.0014994347,0.000059457947,0.000072663526,0.0010419629,0.00061032193,0.000049850092,0.00004253451,0.003515739,9.526621e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002622773,0.00032329428,0.97631603,0.00032198406,0.00008051642,0.0007240772,0.0029040235,0.000001729229,0.0006394482,0.00014225363,0.00019140134,0.015732441],"study_design_scores_gemma":[0.005076525,0.007968144,0.9805893,0.004984891,0.000026770873,0.00018676161,0.00054686307,0.00017639772,0.00025612648,0.00011361709,0.00002052221,0.000054099313],"about_ca_topic_score_codex":0.00004683539,"about_ca_topic_score_gemma":0.000034931767,"teacher_disagreement_score":0.016015267,"about_ca_system_score_codex":0.00006284971,"about_ca_system_score_gemma":0.00020279245,"threshold_uncertainty_score":0.9987832},"labels":[],"label_agreement":null},{"id":"W4403128693","doi":"10.1038/s44294-024-00037-9","title":"Understanding wrist skin temperature changes to hormone variations across the menstrual cycle","year":2024,"lang":"en","type":"article","venue":"npj Women s Health","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Google Research; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Google","keywords":"Menstrual cycle; Skin temperature; Wrist; Physical medicine and rehabilitation; Medicine; Hormone; Physical therapy; Internal medicine; Dermatology; Anatomy","score_opus":0.04172106330827155,"score_gpt":0.3424285018916703,"score_spread":0.30070743858339877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403128693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7073468,0.0044104396,0.0029759838,0.27513424,0.0019006396,0.0021439453,0.00034229225,0.0006269617,0.0051186974],"genre_scores_gemma":[0.9797963,0.0003433407,0.00042452684,0.017210394,0.0011084602,0.00015358029,0.000042999745,0.000051869356,0.0008685445],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979483,0.00009747754,0.00029800838,0.0003556837,0.0005058925,0.0007946312],"domain_scores_gemma":[0.99886334,0.00015842375,0.00005580851,0.00044739663,0.00005545096,0.00041957918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001390518,0.00020446826,0.0003466275,0.000202578,0.00055136107,0.00009821415,0.0001465941,0.000114611,0.00015802574],"category_scores_gemma":[0.000054937926,0.00013505526,0.000060821007,0.0012112604,0.00011373946,0.00005703081,0.000054673837,0.00059967616,0.00006330032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007176661,0.00037122503,0.0006383463,0.0016350612,0.0010963297,0.0003156957,0.5493546,0.000050712333,0.016223036,0.06084896,0.3289383,0.03981004],"study_design_scores_gemma":[0.008952417,0.012683272,0.06178895,0.003742694,0.000310771,0.0013228974,0.3147914,0.002005138,0.0011498061,0.018869622,0.57260823,0.0017748168],"about_ca_topic_score_codex":0.000121341975,"about_ca_topic_score_gemma":0.000101889855,"teacher_disagreement_score":0.27244946,"about_ca_system_score_codex":0.0011656373,"about_ca_system_score_gemma":0.00034958133,"threshold_uncertainty_score":0.55073935},"labels":[],"label_agreement":null},{"id":"W4403511868","doi":"10.1093/neuonc/noae144.174","title":"P09.15.A SATURATION TRANSFER MRI ENABLES EARLY DETECTION OF CANCER LESIONS IN THE CNS","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Saturation (graph theory); Medicine; Biomedical engineering; Nuclear magnetic resonance; Pathology; Mathematics; Physics","score_opus":0.019387561248837365,"score_gpt":0.3114161613789614,"score_spread":0.292028600130124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403511868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98284966,0.0018837366,0.000636968,0.008857585,0.0012637941,0.0006570006,0.000012917083,0.0000742345,0.0037641244],"genre_scores_gemma":[0.99682546,0.00076256174,0.00005188565,0.0017411839,0.00042537358,0.00012793251,0.000007707964,0.000023175762,0.00003474316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871933,0.00024406989,0.0003344323,0.00023669707,0.00024589262,0.000219596],"domain_scores_gemma":[0.9991223,0.0005033784,0.000031249525,0.00022656452,0.000069554684,0.000046942863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035903254,0.00012738205,0.00027664684,0.000332127,0.000050294006,0.000008900246,0.000106216605,0.00019628153,0.00019196596],"category_scores_gemma":[0.00009817303,0.00008367887,0.00010429329,0.0006889976,0.00015949747,0.00007170632,0.000010067535,0.00061955204,0.000010886862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024231004,0.00009364582,0.0011878425,0.000106128056,0.00004136393,0.00020523513,0.0052788816,0.000020510217,0.8972815,0.00045414548,0.0007273114,0.094361074],"study_design_scores_gemma":[0.005035917,0.008386238,0.20271082,0.00077596435,0.0011356514,0.000782371,0.0032523428,0.0014462977,0.44312167,0.0013167702,0.33164525,0.00039069215],"about_ca_topic_score_codex":0.00035813125,"about_ca_topic_score_gemma":0.0006466554,"teacher_disagreement_score":0.4541599,"about_ca_system_score_codex":0.00010295128,"about_ca_system_score_gemma":0.00021353616,"threshold_uncertainty_score":0.3412325},"labels":[],"label_agreement":null},{"id":"W4403675727","doi":"10.1109/issi63632.2024.10720492","title":"Thermography-based Breast Abnormality Detection using Pre-Trained RadImageNet Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Abnormality; Thermography; Computer science; Artificial intelligence; Pattern recognition (psychology); Medicine; Optics","score_opus":0.01944839521263897,"score_gpt":0.2848795048363778,"score_spread":0.26543110962373884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403675727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8169554,0.0009121018,0.17004234,0.0004124095,0.00051251205,0.00070257345,0.000043685304,0.0009673908,0.009451573],"genre_scores_gemma":[0.9927124,0.000016096905,0.0056939702,0.0007771208,0.00044071185,0.000029126119,0.000037249494,0.00006859375,0.00022472828],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981581,0.00008904743,0.00039397657,0.00044975092,0.00049010967,0.0004190407],"domain_scores_gemma":[0.99901754,0.0000720025,0.00004931467,0.0005054882,0.00013848298,0.00021716768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056085753,0.00028876297,0.00033454463,0.0005996737,0.00010899843,0.00005384877,0.000110701425,0.0001719946,0.0006569144],"category_scores_gemma":[0.000013295106,0.00022048988,0.0003426667,0.0011007187,0.00020353531,0.00022642195,0.000019670946,0.00037194206,0.000012337199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023774216,0.00068957824,0.009702072,0.0023884384,0.0018360381,0.0008217128,0.0020066472,0.006684415,0.85024655,0.0027099089,0.000812756,0.119724445],"study_design_scores_gemma":[0.0025458592,0.0004895041,0.061857328,0.00075920206,0.0008648511,0.0019246369,0.0001806681,0.89412755,0.03370296,0.0026484055,0.00034770113,0.00055135397],"about_ca_topic_score_codex":0.00024857096,"about_ca_topic_score_gemma":0.000010509692,"teacher_disagreement_score":0.8874431,"about_ca_system_score_codex":0.000096361895,"about_ca_system_score_gemma":0.00017378779,"threshold_uncertainty_score":0.89913166},"labels":[],"label_agreement":null},{"id":"W4403709638","doi":"10.1016/j.apergo.2024.104375","title":"Quantitative analysis of facial shape in children to support respirator design","year":2024,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"National Institute of Dental and Craniofacial Research","keywords":"Respirator; Engineering; Aeronautics; Computer science; Materials science","score_opus":0.027558687662831417,"score_gpt":0.30493639277265183,"score_spread":0.2773777051098204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403709638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927032,0.00013721964,0.004027721,0.00008882386,0.00009189983,0.00075833325,0.000071131755,0.00006529225,0.0020563994],"genre_scores_gemma":[0.9885843,0.000029288747,0.010413004,0.00065944076,0.00008658041,0.00006486989,0.00009636201,0.000034287146,0.000031857253],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986525,0.000025635549,0.0005095971,0.0003724839,0.00018099025,0.00025875415],"domain_scores_gemma":[0.99930036,0.00014933,0.00006242476,0.00031930266,0.000039492537,0.00012906782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005644506,0.00017776288,0.00060323696,0.0015729635,0.000019548877,0.000013005589,0.00013842473,0.00011290306,0.00030936126],"category_scores_gemma":[0.000052744814,0.00016596554,0.00016473519,0.0022438432,0.00008821451,0.000035228975,0.00004074766,0.00021873724,0.000080790254],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01962612,0.0010520996,0.2540747,0.000488783,0.026045408,0.00024302091,0.02490052,0.019438945,0.26704577,0.11565709,0.010289898,0.26113763],"study_design_scores_gemma":[0.0029599096,0.0027017053,0.95127875,0.00018643017,0.0052570757,0.000014729158,0.0010791608,0.014896824,0.01745726,0.0008031192,0.0026232642,0.0007417971],"about_ca_topic_score_codex":0.00003674853,"about_ca_topic_score_gemma":0.000013455721,"teacher_disagreement_score":0.69720405,"about_ca_system_score_codex":0.00010673622,"about_ca_system_score_gemma":0.00016608331,"threshold_uncertainty_score":0.6767878},"labels":[],"label_agreement":null},{"id":"W4403748946","doi":"10.24908/pceea.2023.17155","title":"Physiological Approaches to Students’ Stress Detection","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Stress (linguistics); Psychology; Mathematics education; Computer science; Linguistics; Philosophy","score_opus":0.0264829920078054,"score_gpt":0.24076041510585997,"score_spread":0.21427742309805456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403748946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98693186,0.0001529379,0.00003853596,0.008135959,0.0017004041,0.00062876096,0.000015365504,0.00014670198,0.0022494607],"genre_scores_gemma":[0.9970067,0.0000052419905,0.00034137294,0.00046978696,0.00047758085,0.00009945375,0.0000084419,0.00002862453,0.0015628032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988765,0.000005029692,0.00021681319,0.00020847633,0.0004446544,0.00024850672],"domain_scores_gemma":[0.99930704,0.000030528845,0.00008385784,0.00009273752,0.00024049755,0.00024535222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038026905,0.00013084426,0.00017082383,0.00044694945,0.00008549451,0.00007884101,0.00019789599,0.00014605494,0.000027457027],"category_scores_gemma":[0.0007336013,0.00010691744,0.000106346255,0.0008950913,0.000015598987,0.00009387613,0.000023679819,0.00030077886,0.000015472702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006426765,0.00076678826,0.5940685,0.0049242596,0.0019179647,0.0000029753003,0.013355152,0.0012714217,0.19303524,0.030082704,0.12725833,0.033252366],"study_design_scores_gemma":[0.00021165713,0.00010684885,0.9615363,0.000781401,0.00019190426,0.000011860789,0.0006972466,0.0010674632,0.020018756,0.00023672295,0.014913567,0.00022626911],"about_ca_topic_score_codex":0.001267559,"about_ca_topic_score_gemma":0.00075744675,"teacher_disagreement_score":0.3674678,"about_ca_system_score_codex":0.0016354696,"about_ca_system_score_gemma":0.00031632843,"threshold_uncertainty_score":0.43599665},"labels":[],"label_agreement":null},{"id":"W4403830748","doi":"10.1681/asn.202401vpzcjc","title":"Feasibility of Near-Infrared Spectroscopy and Peripheral Arterial Disease Risk in CKD","year":2024,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Peripheral; Arterial disease; Medicine; Internal medicine; Kidney disease; Spectroscopy; Infrared; Cardiology; Vascular disease; Optics; Physics","score_opus":0.01181359674579043,"score_gpt":0.2970230403211884,"score_spread":0.285209443575398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403830748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927815,0.0014240161,0.00016638127,0.0050689504,0.00025727836,0.0002015549,0.000026070538,0.000008293641,0.000065947075],"genre_scores_gemma":[0.99132943,0.00073764054,0.00555617,0.001945547,0.0003863636,0.0000016432955,9.0325403e-7,0.000016672304,0.000025619991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846727,0.00022802543,0.00061572186,0.00016110134,0.00031394014,0.00021395316],"domain_scores_gemma":[0.99860173,0.0001804299,0.0006539748,0.0003160699,0.000115991694,0.00013180403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068144995,0.00014029567,0.0007290788,0.00006870583,0.00003808998,0.000007988222,0.00017685344,0.000057316218,0.00008568764],"category_scores_gemma":[0.00013784067,0.00009104959,0.0005434332,0.00042608863,0.0023045072,0.00006155106,0.00005908218,0.00059166225,2.690436e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00872294,0.00044825883,0.5903663,0.00044839628,0.0010049242,0.00009494642,0.006944918,0.000050408813,0.36429915,0.000053632204,0.024296813,0.0032693448],"study_design_scores_gemma":[0.0021265598,0.00152078,0.9892493,0.000208802,0.00039337346,0.00017924272,0.00095579773,0.0009412515,0.00042619728,0.0020808524,0.0018429087,0.000074946096],"about_ca_topic_score_codex":0.000080082194,"about_ca_topic_score_gemma":0.0000025793256,"teacher_disagreement_score":0.39888301,"about_ca_system_score_codex":0.00009028877,"about_ca_system_score_gemma":0.0003367249,"threshold_uncertainty_score":0.84910524},"labels":[],"label_agreement":null},{"id":"W4403842011","doi":"10.1007/978-3-031-75431-9_6","title":"Breast Thermographic Image Augmentation Using Generative Adversarial Networks (GANs)","year":2024,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Adversarial system; Generative adversarial network; Computer science; Generative grammar; Artificial intelligence; Image (mathematics); Computer vision","score_opus":0.026448028205291404,"score_gpt":0.30608707655937656,"score_spread":0.27963904835408515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403842011","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049141105,0.0043711946,0.23584029,0.0031004709,0.0029025765,0.0033640838,0.00020569586,0.00040641107,0.74489516],"genre_scores_gemma":[0.71164423,0.021005135,0.24907593,0.007875478,0.0022533808,0.0001650251,0.002595869,0.00019255145,0.0051923813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841297,0.000023830098,0.0006538678,0.00023681913,0.0004608407,0.00021169386],"domain_scores_gemma":[0.99804854,0.000085982414,0.00024461307,0.0010616655,0.00044622732,0.000112964255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077182945,0.00024670016,0.00030342626,0.0014824118,0.00033824457,0.00021981112,0.00057335076,0.0001688436,0.000046765617],"category_scores_gemma":[0.000010930346,0.00022250313,0.000086250315,0.0006474815,0.0016676154,0.0020376525,0.0005084814,0.0006929669,0.000020748857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020858773,0.00011530911,0.00054950785,0.0004702235,0.0003306519,0.000019449426,0.01477522,0.003823394,0.00081760314,0.59881353,0.0010400977,0.37903643],"study_design_scores_gemma":[0.001098808,0.00012300194,0.0019058266,0.0013815755,0.00016751708,0.0004665848,0.00015158152,0.98310304,0.000015391748,0.004385399,0.006829269,0.00037200938],"about_ca_topic_score_codex":0.000017103615,"about_ca_topic_score_gemma":0.0000033913966,"teacher_disagreement_score":0.97927964,"about_ca_system_score_codex":0.00019002876,"about_ca_system_score_gemma":0.0002499888,"threshold_uncertainty_score":0.9073415},"labels":[],"label_agreement":null},{"id":"W4403918528","doi":"10.1109/tim.2024.3488144","title":"Detection of Abnormality in Deterministic Compressive Sensed Breast Thermograms Using Bilateral Asymmetry","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Abnormality; Asymmetry; Pattern recognition (psychology); Computer science; Artificial intelligence; Physics; Medicine","score_opus":0.03528594063361825,"score_gpt":0.28906523408364027,"score_spread":0.25377929345002204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403918528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9284742,0.00009139617,0.07000407,0.00007440809,0.0006282215,0.00048298648,0.000028399361,0.00005586618,0.00016046297],"genre_scores_gemma":[0.99945456,0.000036788555,0.00032321116,0.00009574263,0.000031850024,0.000027782382,0.0000037614523,0.000017923838,0.000008371698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986598,0.00008510271,0.00039478877,0.00022528852,0.00047610767,0.0001588993],"domain_scores_gemma":[0.99958074,0.000028719402,0.00006550543,0.0001350869,0.00010722636,0.00008271825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034574722,0.00015333941,0.00022164627,0.00047415277,0.00006801082,0.000020898873,0.000027164213,0.000076353754,0.000047216105],"category_scores_gemma":[0.0000031668085,0.00013399025,0.00008744801,0.00039196602,0.00010699376,0.000103763545,6.648558e-7,0.00023146483,0.0000018159495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007756662,0.00035014312,0.0013271447,0.00060061645,0.0002565808,0.00005662271,0.001588579,0.00043869796,0.65226114,0.000017135937,0.0000015130277,0.34232616],"study_design_scores_gemma":[0.0072718584,0.0014721997,0.107718125,0.0036528108,0.0008905791,0.0015308324,0.0021526397,0.04544448,0.8292027,0.00015763547,0.00004841814,0.00045768177],"about_ca_topic_score_codex":0.00018972922,"about_ca_topic_score_gemma":0.00004801067,"teacher_disagreement_score":0.34186846,"about_ca_system_score_codex":0.0002118828,"about_ca_system_score_gemma":0.00007048017,"threshold_uncertainty_score":0.5463964},"labels":[],"label_agreement":null},{"id":"W4404102167","doi":"10.1183/13993003.congress-2024.pa1669","title":"Evaluating the relationship between respiratory muscle electromyography and ultrasound in healthy subjects","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Electromyography; Ultrasound; Respiratory system; Physical medicine and rehabilitation; Medicine; Computer science; Internal medicine; Radiology","score_opus":0.09686613610537248,"score_gpt":0.3978554523748921,"score_spread":0.30098931626951964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404102167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98424053,0.006919722,0.00007775584,0.0026922985,0.00011626703,0.00059614837,0.0000028041852,0.00015820122,0.0051962864],"genre_scores_gemma":[0.9967739,0.000046173966,0.00055277033,0.0021133574,0.00033801154,0.000046158202,0.000012090008,0.000029034984,0.00008849234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998373,0.0002323932,0.0003598536,0.00031431785,0.00039338582,0.0003270506],"domain_scores_gemma":[0.9952144,0.004266899,0.000037140584,0.00032594867,0.00004380254,0.00011179797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023605316,0.00014504783,0.0002163037,0.00052408833,0.00013660805,0.000036839614,0.00007501867,0.000106730084,0.00007551714],"category_scores_gemma":[0.0012611904,0.00009377329,0.000072758645,0.0014571443,0.00017876073,0.00008674508,0.000016534632,0.00073262677,0.000010106855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008943058,0.000019403084,0.97677225,0.00019695249,0.00004655245,0.000021251915,0.0012296771,7.047732e-7,0.0046116784,0.0056162705,0.00051893946,0.0108769145],"study_design_scores_gemma":[0.0007938912,0.0013160799,0.9900125,0.0002889227,0.0000955527,0.000029176683,0.00031859367,0.00004292296,0.00012406267,0.005956169,0.0009232181,0.00009887147],"about_ca_topic_score_codex":0.00006168945,"about_ca_topic_score_gemma":0.000028693355,"teacher_disagreement_score":0.013240313,"about_ca_system_score_codex":0.000057432346,"about_ca_system_score_gemma":0.00017485434,"threshold_uncertainty_score":0.38239637},"labels":[],"label_agreement":null},{"id":"W4405435656","doi":"10.22489/cinc.2024.417","title":"Automatic Analysis of Activation Recovery Interval in Heterogeneous Fibrotic Tissue from Chronically Infarcted Swine","year":2024,"lang":"en","type":"article","venue":"Computing in cardiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Agence Nationale de la Recherche; Canadian Institutes of Health Research; European Commission","keywords":"Computer science","score_opus":0.013080494064095508,"score_gpt":0.3001884888912904,"score_spread":0.2871079948271949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405435656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897419,0.0008872868,0.007985179,0.00026756377,0.00039313882,0.0002972915,0.000012038918,0.000103909144,0.00031165345],"genre_scores_gemma":[0.99771464,0.000023118098,0.0016170541,0.00015409898,0.0002433555,0.000007721664,0.00021188591,0.00002118374,0.000006940899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981758,0.0002693365,0.0007465119,0.00037367866,0.00016852043,0.00026612353],"domain_scores_gemma":[0.99849826,0.000928465,0.00010099471,0.00036548253,0.000060321574,0.000046490957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005083379,0.00016488762,0.0010675408,0.0013749182,0.000012249393,0.000007631218,0.00013075449,0.00020598106,0.00018217997],"category_scores_gemma":[0.0004082106,0.00015147755,0.00023920563,0.0018057021,0.000116880496,0.000034193334,0.000084988445,0.00040713797,0.000007943855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004898541,0.0001788595,0.50619227,0.0010917736,0.00955654,0.0019149495,0.0033898777,0.23958911,0.074096896,0.00006779908,0.00044548252,0.1629866],"study_design_scores_gemma":[0.00091299124,0.00040842718,0.6595927,0.001396829,0.000723299,0.000065179134,0.000049187434,0.3350321,0.0013862554,0.00020580653,0.00009416819,0.0001330548],"about_ca_topic_score_codex":0.00017557389,"about_ca_topic_score_gemma":0.000020866137,"teacher_disagreement_score":0.16285354,"about_ca_system_score_codex":0.00022623249,"about_ca_system_score_gemma":0.00009989785,"threshold_uncertainty_score":0.6177075},"labels":[],"label_agreement":null},{"id":"W4405960505","doi":"10.1093/geroni/igae098.0149","title":"ASSOCIATIONS BETWEEN FUNCTIONAL NETWORKS OF PHYSICAL RESERVE, POSTURAL INSTABILITY, AND WHITE MATTER LESIONS","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Instability; White matter; Physical medicine and rehabilitation; Functional connectivity; Psychology; Neuroscience; Medicine; Physics; Mechanics; Magnetic resonance imaging; Radiology","score_opus":0.03163573337555871,"score_gpt":0.31364395111717397,"score_spread":0.2820082177416153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405960505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98990965,0.00009315511,0.0013509822,0.0056858053,0.00018289952,0.0001917233,0.000027501934,0.000050872804,0.0025073949],"genre_scores_gemma":[0.998498,0.0000027979747,0.00025849862,0.00038492872,0.00042309146,0.000010629574,0.00026999536,0.000014585,0.00013742555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891615,0.000043097312,0.00045830276,0.00018534194,0.0002523354,0.00014478128],"domain_scores_gemma":[0.99928457,0.0002521004,0.000078918034,0.00013810588,0.00022197833,0.000024358307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057718606,0.00009111785,0.0002215617,0.00061641535,0.000047766036,0.00001890957,0.00003692221,0.00006724531,0.00007829106],"category_scores_gemma":[0.00014133455,0.000080213555,0.000037485483,0.0021063888,0.00009627325,0.00014559146,0.00004296858,0.00039578142,0.000005046174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011203757,0.000032475993,0.9909555,0.00007322354,0.000048614376,0.0000038744743,0.0009238696,0.00005839876,0.0016520905,0.003402283,0.0010497724,0.0017887405],"study_design_scores_gemma":[0.00037826382,0.00003818792,0.9941871,0.0003691334,0.000038757127,0.000004799906,0.00013145967,0.0023021079,0.00008536198,0.0022596265,0.00014009805,0.00006509017],"about_ca_topic_score_codex":0.00003583513,"about_ca_topic_score_gemma":0.0000053034805,"teacher_disagreement_score":0.008588383,"about_ca_system_score_codex":0.00007273551,"about_ca_system_score_gemma":0.000050611092,"threshold_uncertainty_score":0.32710138},"labels":[],"label_agreement":null},{"id":"W4406090841","doi":"10.1139/apnm-2024-0330","title":"The effects of acute hot-water immersion on force steadiness and motor unit discharge rate variability in young, healthy adults","year":2025,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Immersion (mathematics); Medicine; Motor unit; Physical medicine and rehabilitation; Physical therapy; Mathematics; Anatomy","score_opus":0.004055319644258746,"score_gpt":0.24609434026701837,"score_spread":0.24203902062275962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406090841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99584955,0.0009194836,0.000031199488,0.0009067596,0.00038404632,0.0015033041,0.000024268715,0.000019484178,0.00036191594],"genre_scores_gemma":[0.99469733,0.0034898529,0.000040833493,0.001195465,0.000082914295,0.00030165483,0.000104011626,0.000010896495,0.00007706563],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99876416,0.00023816523,0.00030250975,0.0003267473,0.00009161805,0.00027678686],"domain_scores_gemma":[0.99904585,0.0004462504,0.00007560695,0.00029042168,0.00006600519,0.00007587607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051649363,0.00018203341,0.00049956253,0.00018847757,0.000131425,0.0000046024315,0.00007064891,0.00014976857,0.0000062903523],"category_scores_gemma":[0.00004389116,0.00010707717,0.00005228904,0.00022409813,0.00032981925,0.000030944488,0.000046907608,0.00028867277,0.0000015484238],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010047476,0.00046706156,0.0006424337,0.0013982191,0.00019522605,0.0000022120823,0.00052609754,6.644003e-8,0.9501682,0.033118792,0.00016807107,0.0032661401],"study_design_scores_gemma":[0.02382358,0.00037933682,0.86077225,0.0006250984,0.0004129393,0.000005963352,0.00038060683,0.000049533017,0.09134489,0.01970681,0.0023098793,0.00018913057],"about_ca_topic_score_codex":0.000023296669,"about_ca_topic_score_gemma":0.000001750832,"teacher_disagreement_score":0.8601298,"about_ca_system_score_codex":0.000011446896,"about_ca_system_score_gemma":0.000019161447,"threshold_uncertainty_score":0.436648},"labels":[],"label_agreement":null},{"id":"W4406179517","doi":"10.1002/mrm.30405","title":"Minimally invasive measurement of carotid artery and brain temperature in the mouse","year":2025,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Ontario Institute for Cancer Research; University of Toronto; Hospital for Sick Children","funders":"Institute of Human Development, Child and Youth Health; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Carotid arteries; Blood flow; Artery; Nuclear magnetic resonance; Voxel; Chemistry; Biomedical engineering; Nuclear medicine; Medicine; Internal medicine; Radiology; Physics","score_opus":0.012970180203124203,"score_gpt":0.2527072396296246,"score_spread":0.2397370594265004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406179517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92806906,0.033948846,0.000002341586,0.030300733,0.00012352143,0.0012462117,0.0000041898293,0.000015193609,0.0062898924],"genre_scores_gemma":[0.9887797,0.0014742954,0.00029593427,0.008543541,0.00012705762,0.00013158833,0.000009015573,0.000016735738,0.0006220975],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973985,0.00025661543,0.0007565973,0.00037567588,0.00086755614,0.00034503394],"domain_scores_gemma":[0.9985108,0.0005210956,0.00009816129,0.00059827435,0.0002048963,0.00006676736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002258273,0.0002531384,0.00070942595,0.00062286976,0.000033618428,0.0000062847544,0.0002584264,0.00015286762,0.00007313263],"category_scores_gemma":[0.0022542449,0.00015881508,0.000049831622,0.0012244309,0.0006898298,0.0000357132,0.000042009215,0.0006073459,0.0000010012579],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010554176,0.0004713888,0.45735243,0.0014615072,0.000049221424,0.0005637066,0.0132492,0.0000033944204,0.4589274,0.0010745298,0.038302954,0.027488856],"study_design_scores_gemma":[0.008231668,0.0018483255,0.9681398,0.0050578658,0.00009087573,0.00007879298,0.004621592,0.000021096736,0.004928569,0.0005606939,0.006268802,0.00015189967],"about_ca_topic_score_codex":0.00020522437,"about_ca_topic_score_gemma":0.00041389884,"teacher_disagreement_score":0.51078737,"about_ca_system_score_codex":0.00007898579,"about_ca_system_score_gemma":0.00020464581,"threshold_uncertainty_score":0.6476291},"labels":[],"label_agreement":null},{"id":"W4406250387","doi":"10.18280/ts.410617","title":"Enhanced Lesion Classification Based on YOLO Architectures Using Thermal Breast Images on a Patient by Patient Basis","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ulusal Yüksek Başarımlı Hesaplama Merkezi, Istanbul Teknik Üniversitesi","keywords":"Basis (linear algebra); Lesion; Artificial intelligence; Computer science; Medicine; Computer vision; Pattern recognition (psychology); Radiology; Pathology; Mathematics","score_opus":0.018144093574554456,"score_gpt":0.2652914792398739,"score_spread":0.24714738566531944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406250387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879738,0.00020757737,0.0062173745,0.0018980172,0.000296655,0.00096263975,0.00017880081,0.00021441495,0.0020507197],"genre_scores_gemma":[0.9964709,0.0000056898903,0.00063397794,0.0022670715,0.00025669776,0.000100403755,0.00018312036,0.00006144821,0.000020690268],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99749887,0.00016178333,0.00047178537,0.000537804,0.0009442285,0.00038553274],"domain_scores_gemma":[0.99912125,0.0001749901,0.000117989315,0.00032589713,0.00008844359,0.00017144355],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022987463,0.00034811132,0.00029875062,0.00043921132,0.00013455472,0.000045120873,0.000101094985,0.00010783704,0.0009712761],"category_scores_gemma":[0.000022100236,0.00025487161,0.00020142831,0.00034810958,0.00012682159,0.000042173437,0.00001712279,0.00039132196,0.000029865003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015373051,0.0007132983,0.00022643288,0.00015187285,0.00010934024,0.000060089864,0.0011304928,0.001767842,0.7573366,0.000054435197,0.0018840143,0.23502828],"study_design_scores_gemma":[0.0044565173,0.010209373,0.0351185,0.004492581,0.00055354065,0.00007762054,0.00082325656,0.108744584,0.8325224,0.00008737638,0.002093379,0.00082088856],"about_ca_topic_score_codex":0.000021249818,"about_ca_topic_score_gemma":4.7794424e-7,"teacher_disagreement_score":0.23420739,"about_ca_system_score_codex":0.00022864575,"about_ca_system_score_gemma":0.00009010144,"threshold_uncertainty_score":0.99999034},"labels":[],"label_agreement":null},{"id":"W4406443304","doi":"10.1139/apnm-2024-0406","title":"Passive heat therapy for cardiovascular disease: current evidence and future directions","year":2025,"lang":"en","type":"review","venue":"Applied Physiology Nutrition and Metabolism","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Disease; Current (fluid); Intensive care medicine; Physical therapy; Physical medicine and rehabilitation; Cardiology; Internal medicine","score_opus":0.028663967992255814,"score_gpt":0.32525960349405175,"score_spread":0.29659563550179596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406443304","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000047375514,0.99329776,0.000048827955,0.00036422606,0.0010901472,0.00479774,0.00023014848,0.00008368827,0.000040068488],"genre_scores_gemma":[0.000031647472,0.9890862,0.00025937535,0.00034330826,0.0035622276,0.005932253,0.00071866915,0.000040559797,0.000025743462],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981678,0.0001570135,0.0004065249,0.0007788977,0.0001827598,0.00030701238],"domain_scores_gemma":[0.99857557,0.00035803163,0.00010702451,0.00058254664,0.00014182855,0.00023499834],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018683403,0.00049962115,0.0023968094,0.0003693217,0.00021908883,0.000014115669,0.000096992095,0.000333903,0.000019279594],"category_scores_gemma":[0.00004572177,0.0003664808,0.0010864632,0.0004018002,0.00028040234,0.00004084469,0.000045837318,0.000493646,0.0000018567657],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117149415,0.0001885809,2.0637935e-7,0.026177147,0.0015666273,0.0000018867081,0.00003888782,1.9834214e-8,0.000035084413,0.0052375626,0.001410953,0.9652259],"study_design_scores_gemma":[0.002567042,0.0000240728,0.00066146976,0.00984724,0.007988921,0.000017569502,0.000025589829,5.3325647e-7,0.0000034330676,0.002399749,0.97618616,0.00027821443],"about_ca_topic_score_codex":0.0000023644886,"about_ca_topic_score_gemma":6.8380494e-8,"teacher_disagreement_score":0.9747752,"about_ca_system_score_codex":0.000023613957,"about_ca_system_score_gemma":0.00017854852,"threshold_uncertainty_score":0.9998787},"labels":[],"label_agreement":null},{"id":"W4406579648","doi":"10.1016/s1541-9800(08)70416-2","title":"10.1016/s1541-9800(08)70416-2","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ankylosing spondylitis; Medicine; Spondylitis; Radiology; Surgery","score_opus":0.004983857978878478,"score_gpt":0.19044577960095146,"score_spread":0.18546192162207298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406579648","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003625642,0.00028550255,0.0000013009036,0.0012523991,0.0000049796013,0.00049587124,0.000014796006,0.0003026512,0.9940169],"genre_scores_gemma":[0.00049202575,0.0000015537852,0.00050751475,0.0006292743,0.00061391137,0.000033653716,0.000050184837,0.00006139286,0.9976105],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983988,0.000044117874,0.00031513805,0.00033081663,0.0004464868,0.00046466425],"domain_scores_gemma":[0.9987558,0.00006245848,0.000039988037,0.00065390783,0.000101959115,0.00038590006],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00025375627,0.00024018397,0.0004009863,0.00022286302,0.000078417244,0.000014912411,0.00020188869,0.00012972516,0.9990075],"category_scores_gemma":[0.00009390323,0.00020778643,0.00014231511,0.00054615276,0.00010803946,0.00006272049,0.000030112218,0.0002897899,0.9939114],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004006904,0.000100253674,0.0000014726439,0.000024369352,0.00006943979,0.00007865999,0.000058201433,0.0000056685008,0.00051311235,0.0000010727772,0.48405662,0.51469046],"study_design_scores_gemma":[0.0014070511,0.00074628816,0.00032158496,0.00015266116,0.00012707541,0.0001254961,0.0000040274426,0.00005762771,0.00044178104,0.000018892066,0.99638057,0.00021696917],"about_ca_topic_score_codex":0.00001732488,"about_ca_topic_score_gemma":5.5625385e-8,"teacher_disagreement_score":0.5144735,"about_ca_system_score_codex":0.000049622693,"about_ca_system_score_gemma":0.000057794463,"threshold_uncertainty_score":0.8473285},"labels":[],"label_agreement":null},{"id":"W4406913197","doi":"10.52609/jmlph.v5i2.177","title":"Laser-Induced Thermal Therapy in the Management of Low-Grade Gliomas: A Narrative Review","year":2025,"lang":"en","type":"review","venue":"The Journal of Medicine Law & Public Health","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Laser; Laser therapy; Narrative; Thermal management of electronic devices and systems; Narrative review; Medicine; Materials science; Intensive care medicine; Physics; Optics; Art; Literature; Engineering; Mechanical engineering","score_opus":0.09621887079640924,"score_gpt":0.42453206981565117,"score_spread":0.32831319901924194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406913197","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016743281,0.8979183,0.000012722358,0.09177805,0.0006018053,0.004502522,0.000011380566,0.000018663286,0.0049891234],"genre_scores_gemma":[0.0007455975,0.96672314,0.00008815988,0.031197418,0.000945698,0.00009847515,0.000042677282,0.000062365034,0.00009649562],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9867425,0.0052558277,0.0043614656,0.00034139564,0.002428295,0.0008704894],"domain_scores_gemma":[0.99154466,0.0016711862,0.0041736797,0.001595195,0.00060858455,0.00040666148],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.025732255,0.0007970177,0.005797457,0.000985136,0.00020642637,0.000013259573,0.0019693605,0.0002762687,0.00023136898],"category_scores_gemma":[0.00036293402,0.00032223514,0.0008798462,0.0040346747,0.0007998541,0.00013112112,0.000105533116,0.0029414461,0.000003349894],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000926019,0.00048068198,0.000002112435,0.113502085,0.0016530771,0.00028076742,0.0056794058,8.70092e-8,0.0000017265188,0.0020877009,0.010751515,0.86546826],"study_design_scores_gemma":[0.0035397904,0.0028623648,0.000037851933,0.38559857,0.001562914,0.0011913669,0.00358563,6.8445684e-7,8.8716354e-7,0.00010321134,0.60134673,0.00016997471],"about_ca_topic_score_codex":0.00017227078,"about_ca_topic_score_gemma":0.000018176865,"teacher_disagreement_score":0.8652983,"about_ca_system_score_codex":0.0003776974,"about_ca_system_score_gemma":0.0026439156,"threshold_uncertainty_score":0.999923},"labels":[],"label_agreement":null},{"id":"W4406982926","doi":"10.1109/tmtt.2025.3530789","title":"AI-Enhanced SDR Microwave Breast Cancer Screening Transceiver: A Comparative Study","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transceiver; Microwave; Breast cancer; Electronic engineering; Computer science; Microwave imaging; Electrical engineering; Engineering; Telecommunications; Medicine; Cancer; Wireless; Internal medicine","score_opus":0.014188511961394396,"score_gpt":0.31854203984643287,"score_spread":0.30435352788503844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406982926","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39044663,0.00032692618,0.6027751,0.00068250345,0.00014497813,0.0015226911,0.00009644473,0.0003982468,0.0036064659],"genre_scores_gemma":[0.9936562,0.00027482217,0.002316439,0.0022801699,0.000058947684,0.00034346225,0.000005510389,0.0000356254,0.0010288339],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99813694,0.00033854303,0.0004284013,0.0005363759,0.00020573557,0.00035397752],"domain_scores_gemma":[0.9989221,0.0002259646,0.0000840094,0.00041445388,0.00022846585,0.00012502141],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062192144,0.0004029665,0.00065954967,0.0006500523,0.00034770605,0.000032424792,0.0001499817,0.00019129235,0.0002284055],"category_scores_gemma":[0.0000031564784,0.00034940155,0.00021182642,0.00064091786,0.0004872538,0.00013189936,0.0000025035426,0.0008505978,0.0000039886686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046594413,0.0009488357,0.000114156814,0.00010604737,0.0008944166,0.000029553079,0.0043071336,0.0000056509252,0.8676049,0.00075298984,0.00027495058,0.1203019],"study_design_scores_gemma":[0.0023061356,0.00087538915,0.00071851676,0.0010717565,0.00086789916,0.00009479737,0.00353652,0.00000584337,0.9870882,0.002902148,0.00022891535,0.0003038839],"about_ca_topic_score_codex":0.000060377755,"about_ca_topic_score_gemma":0.000058669364,"teacher_disagreement_score":0.60320956,"about_ca_system_score_codex":0.00008223312,"about_ca_system_score_gemma":0.00009132992,"threshold_uncertainty_score":0.9998958},"labels":[],"label_agreement":null},{"id":"W4407212784","doi":"10.1109/jerm.2025.3531693","title":"Quantifying Consistency of Microwave Breast Imaging: Laser Scanning for Assessing Breast Volume and Shape","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alberta Cancer Foundation","keywords":"Microwave imaging; Breast imaging; Consistency (knowledge bases); Microwave; Laser scanning; Volume (thermodynamics); Breast cancer; 3d scanning; Mammography; Biomedical engineering; Laser; Materials science; Medicine; Optics; Medical physics; Computer science; Physics; Artificial intelligence; Internal medicine; Telecommunications","score_opus":0.026915356862538087,"score_gpt":0.33408336716009635,"score_spread":0.30716801029755825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407212784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95881075,0.0333861,0.00092876394,0.0059047374,0.0003032983,0.00023787288,0.00001115078,0.0000057873153,0.00041151742],"genre_scores_gemma":[0.9903705,0.0038932252,0.0042930013,0.0010719334,0.0002825921,0.0000022452675,0.000008020973,0.000016153801,0.00006231959],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99831545,0.00008270729,0.0008844695,0.0002576374,0.00009422644,0.00036550922],"domain_scores_gemma":[0.9985395,0.00037765343,0.00040642492,0.00012887744,0.00042014185,0.00012740947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009595484,0.00023396898,0.0009302149,0.0008196988,0.00008117302,0.000014653511,0.00009035446,0.00015634375,0.000011778379],"category_scores_gemma":[0.00020953364,0.0001725679,0.00007671374,0.00029895638,0.001143216,0.00007370973,0.00003352279,0.0004247256,3.4388957e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044618855,0.0000641061,0.120635115,0.00042199471,0.0001274181,0.000039095215,0.0003706358,1.4673951e-7,0.81523097,0.0002057827,0.0007152322,0.061743338],"study_design_scores_gemma":[0.045431085,0.017463783,0.71722674,0.022106294,0.0044591194,0.07745066,0.011934178,0.003032443,0.08363312,0.012278415,0.0037804581,0.0012037018],"about_ca_topic_score_codex":0.000027623319,"about_ca_topic_score_gemma":0.000009525818,"teacher_disagreement_score":0.73159784,"about_ca_system_score_codex":0.000024834819,"about_ca_system_score_gemma":0.00018674997,"threshold_uncertainty_score":0.7037115},"labels":[],"label_agreement":null},{"id":"W4407987620","doi":"10.7507/1001-5515.202404032","title":"[Analysis of the effect of neuromuscular electrical stimulation on corticomuscular coupling during standing balance].","year":2024,"lang":"en","type":"article","venue":"PubMed","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"College of Family Physicians of Canada","keywords":"Physical medicine and rehabilitation; Balance (ability); Stimulation; Medicine; Physical therapy; Psychology; Neuroscience","score_opus":0.007869909794266312,"score_gpt":0.23822405277370598,"score_spread":0.23035414297943968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407987620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99732876,0.0008320084,0.00025355414,0.00008597071,0.00025367257,0.00092714553,0.0000052582004,0.000060153296,0.0002534948],"genre_scores_gemma":[0.999668,0.000026530553,0.00000928317,0.000025156502,0.00008191347,0.00012834104,0.000009088335,0.000023329156,0.000028329034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836487,0.000075649106,0.00039221157,0.00023693244,0.00066529895,0.00026502495],"domain_scores_gemma":[0.9989616,0.00038711767,0.00010991875,0.00041475106,0.000054267064,0.000072333016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068817026,0.00014092917,0.0005202563,0.00062552455,0.000044257016,0.000008946013,0.00010538685,0.00007084677,0.00002126311],"category_scores_gemma":[0.00052880665,0.00008679452,0.0004902521,0.002447552,0.00007996038,0.000033309672,0.000025149033,0.00028021127,5.8126267e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006482817,0.00006240138,0.93811166,0.00090916303,0.004075582,0.00006748101,0.00014715732,0.01816066,0.029487558,0.00018238387,0.000015175854,0.008132504],"study_design_scores_gemma":[0.0008275968,0.00017503733,0.9037783,0.00017775506,0.0044356575,0.000005306667,0.0000046040864,0.05807551,0.03243178,0.000010167522,0.000014744722,0.00006353553],"about_ca_topic_score_codex":0.000006979721,"about_ca_topic_score_gemma":2.8720893e-7,"teacher_disagreement_score":0.03991485,"about_ca_system_score_codex":0.00009858567,"about_ca_system_score_gemma":0.00001657407,"threshold_uncertainty_score":0.35393777},"labels":[],"label_agreement":null},{"id":"W4408603065","doi":"10.1117/12.3041220","title":"Multispectral optical sensor for psychological stress detection","year":2025,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multispectral image; Computer science; Stress (linguistics); Computer vision; Artificial intelligence","score_opus":0.01577206515016347,"score_gpt":0.3520997868868178,"score_spread":0.3363277217366543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408603065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8204798,0.00007556766,0.120909005,0.0026974184,0.0007135783,0.0010193825,0.000008480155,0.00028876626,0.05380799],"genre_scores_gemma":[0.97215784,0.0000091945885,0.023116205,0.0016267061,0.00025387178,0.00007412808,0.000011845559,0.000010460962,0.0027397492],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991313,0.000016229797,0.00020871611,0.000256342,0.0001313967,0.0002559944],"domain_scores_gemma":[0.9994066,0.00014636821,0.000020614674,0.00023856299,0.000098925,0.00008896602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013498911,0.00011558431,0.00022296622,0.00016015179,0.0000725233,0.000007927935,0.00005736918,0.0001545338,0.00020603243],"category_scores_gemma":[0.00025255876,0.00008210929,0.00013763712,0.00023534746,0.000111873436,0.000020984202,0.000011800988,0.00020366213,0.000012359516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005900745,0.0021277254,0.032038312,0.00056846533,0.0006472581,0.00016081857,0.00026994193,0.000014214025,0.59969366,0.048023935,0.009090043,0.30146492],"study_design_scores_gemma":[0.016359542,0.0039080107,0.41028437,0.0003778851,0.0006020679,0.00023101008,0.0010189613,0.0035634807,0.55157864,0.004335608,0.0073106918,0.0004297357],"about_ca_topic_score_codex":0.000005673678,"about_ca_topic_score_gemma":0.0000062847976,"teacher_disagreement_score":0.37824604,"about_ca_system_score_codex":0.000034854234,"about_ca_system_score_gemma":0.000013147911,"threshold_uncertainty_score":0.33483195},"labels":[],"label_agreement":null},{"id":"W4408687506","doi":"10.1117/12.3040427","title":"Evaluating the level of muscle contraction by near-infrared spectroscopy: a potential application for scaling muscle spasm (Conference Presentation)","year":2025,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Contraction (grammar); Scaling; Presentation (obstetrics); Muscle contraction; Infrared spectroscopy; Computer science; Materials science; Chemistry; Medicine; Internal medicine; Mathematics","score_opus":0.06769093915714565,"score_gpt":0.389524089165668,"score_spread":0.32183315000852236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408687506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43604556,0.00012306079,0.554379,0.0026683651,0.00023877283,0.0021333448,0.000040019215,0.0000687508,0.0043031354],"genre_scores_gemma":[0.97589445,0.000016211561,0.02102593,0.0006082501,0.00014630091,0.0003254816,0.00012743623,0.000018208593,0.001837711],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99853027,0.00007060175,0.00047881302,0.00029283352,0.00038717623,0.00024033393],"domain_scores_gemma":[0.99852574,0.0002766124,0.00023122695,0.00041196134,0.00050245126,0.000052025236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071821065,0.00014613004,0.00027210376,0.00009956288,0.00022812503,0.000032621752,0.00014768915,0.0000998663,0.00016571215],"category_scores_gemma":[0.00032302813,0.00010872543,0.00012953402,0.00037319656,0.00017351568,0.00011237597,0.000027019767,0.0001915153,0.0000037832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003134854,0.00013778295,0.0005579175,0.00014766457,0.00010914026,3.4310216e-7,0.00034450443,0.00011731234,0.94423246,0.0019539336,0.003239146,0.048846297],"study_design_scores_gemma":[0.01074314,0.0009278556,0.2035372,0.00047435614,0.0011605531,0.000009915493,0.0030397407,0.35368657,0.40909183,0.013754928,0.0032369858,0.00033691144],"about_ca_topic_score_codex":0.00029318818,"about_ca_topic_score_gemma":0.000010821676,"teacher_disagreement_score":0.5398489,"about_ca_system_score_codex":0.000058018682,"about_ca_system_score_gemma":0.00022194417,"threshold_uncertainty_score":0.44336942},"labels":[],"label_agreement":null},{"id":"W4408690212","doi":"10.5005/jp-journals-10080-1630","title":"Current Use of Infrared Thermography in Orthopaedic and Bone or Joint Trauma Patients–Can We Identify Postoperative Infection? A Narrative Systematic Review","year":2025,"lang":"en","type":"review","venue":"Strategies in Trauma and Limb Reconstruction","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Orthopedic surgery; Thermography; Orthopedic trauma; Narrative review; Surgery; Intensive care medicine; Infrared; Optics","score_opus":0.03810003408169675,"score_gpt":0.3332061936319019,"score_spread":0.29510615955020514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408690212","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0412359,0.95076627,0.00000751808,0.000041959836,0.0007089565,0.0067396234,0.00011088016,0.000046073732,0.00034280034],"genre_scores_gemma":[0.004530173,0.99420303,0.00014263875,0.000040147876,0.000051821295,0.0007777639,0.00017240143,0.00004150591,0.0000405161],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9947486,0.0010236567,0.0027346094,0.0007326912,0.00039318088,0.00036728993],"domain_scores_gemma":[0.99741656,0.00045162826,0.0011901648,0.00047933878,0.00032385386,0.00013843522],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00069465616,0.0007741365,0.0045869607,0.002494926,0.00010143346,0.000080166654,0.00009418141,0.0004451639,0.000064891974],"category_scores_gemma":[0.0005483085,0.000538852,0.000547814,0.0021954426,0.00068193045,0.0004382151,0.000052496096,0.0012020902,4.679096e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008803532,0.0001514772,0.00077328674,0.5550986,0.0002730859,0.000019486568,0.0016036691,1.363492e-7,5.196242e-7,0.00014135185,0.000017037271,0.44183335],"study_design_scores_gemma":[0.0021154704,0.0011286464,0.0052723223,0.9820618,0.0029091318,0.00063195964,0.0036969008,0.0000037272687,0.0000020671666,0.00046202933,0.0012098347,0.00050608744],"about_ca_topic_score_codex":0.00008772023,"about_ca_topic_score_gemma":0.00026255363,"teacher_disagreement_score":0.44132727,"about_ca_system_score_codex":0.00016574273,"about_ca_system_score_gemma":0.000527348,"threshold_uncertainty_score":0.9997063},"labels":[],"label_agreement":null},{"id":"W4408704511","doi":"10.1055/s-0045-1804971","title":"Palopegteriparatide Improves Skeletal Dynamics in Adults With Chronic Hypoparathyroidism: 162-week Results From the Phase 2 PaTH Forward Trial","year":2025,"lang":"en","type":"article","venue":"Osteologie/Osteology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Hypoparathyroidism; Path (computing); Dynamics (music); Medicine; Phase (matter); Internal medicine; Pediatrics; Physical medicine and rehabilitation; Computer science; Physics","score_opus":0.010116499876595075,"score_gpt":0.2751559272175961,"score_spread":0.265039427341001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408704511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712675,0.0031026632,0.0004821291,0.009870111,0.0015481997,0.003732816,0.0003202219,0.00021670035,0.009459653],"genre_scores_gemma":[0.9924766,0.00041137505,0.0011099835,0.0020786456,0.00067920086,0.0005122761,0.0014795806,0.000056382756,0.0011959728],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9952725,0.0005635528,0.0013954508,0.001198081,0.0004379209,0.0011324581],"domain_scores_gemma":[0.9958205,0.0016523765,0.0005021245,0.0016351931,0.00021157924,0.00017820249],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008855442,0.00068057753,0.0013387073,0.00040970743,0.00019679053,0.000029936,0.00075592246,0.0006320162,0.00006022162],"category_scores_gemma":[0.0013594964,0.00042902317,0.00025978548,0.001051955,0.0014180059,0.00014270925,0.00031215663,0.0013521157,0.000049058912],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.8323942,0.0035769776,0.03202593,0.00029382843,0.0015308047,0.004341644,0.0054495097,0.000077803335,0.012242345,0.0055809375,0.022832828,0.07965321],"study_design_scores_gemma":[0.8367585,0.06412591,0.067796305,0.0015368074,0.0013384953,0.00040450686,0.006462834,0.005010635,0.0033911814,0.0041734087,0.007533024,0.0014683827],"about_ca_topic_score_codex":0.0010522304,"about_ca_topic_score_gemma":0.0047198385,"teacher_disagreement_score":0.07818483,"about_ca_system_score_codex":0.0005737054,"about_ca_system_score_gemma":0.00091460807,"threshold_uncertainty_score":0.9998162},"labels":[],"label_agreement":null},{"id":"W4408717351","doi":"10.1109/emts57498.2023.10925259","title":"Microwave Imaging for Breast Density Assessment: Initial Investigation","year":2023,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Breast density; Microwave imaging; Microwave; Mammography; Computer science; Breast cancer; Medicine; Telecommunications; Internal medicine","score_opus":0.02287985049253347,"score_gpt":0.3306851228957102,"score_spread":0.30780527240317673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408717351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95812625,0.000017288405,0.013747794,0.007827132,0.00051556656,0.000871327,0.000037049816,0.00059330853,0.01826428],"genre_scores_gemma":[0.9862413,0.0000036951042,0.009331672,0.0030410488,0.0005122149,0.00004031406,0.00028471986,0.000027956716,0.0005171068],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990786,0.000024660543,0.00020782232,0.0002069069,0.00021952396,0.00026250342],"domain_scores_gemma":[0.99930364,0.000107355525,0.000051883337,0.00020724375,0.00020053633,0.00012937083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004168781,0.00011513193,0.00018943686,0.00026030143,0.00009601624,0.000014889064,0.00005337222,0.000050596296,0.00014881477],"category_scores_gemma":[0.00007870073,0.00009864251,0.00009139492,0.00044427413,0.00012256062,0.00008221463,0.00002939482,0.00014166374,0.00004338654],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025420368,0.000074514646,0.28775644,0.00036876192,0.00020092014,0.00018950614,0.00094488513,0.000002413813,0.5615779,0.009284856,0.06502059,0.07432498],"study_design_scores_gemma":[0.004842099,0.0001835645,0.9204749,0.00025230736,0.00025744492,0.0006435281,0.0010633349,0.005825085,0.05129478,0.013916521,0.0009684629,0.00027797036],"about_ca_topic_score_codex":0.000024343317,"about_ca_topic_score_gemma":0.0000058220307,"teacher_disagreement_score":0.63271844,"about_ca_system_score_codex":0.000047740985,"about_ca_system_score_gemma":0.000111467336,"threshold_uncertainty_score":0.40225247},"labels":[],"label_agreement":null},{"id":"W4408787519","doi":"10.1016/j.jphyss.2025.100018","title":"C-fiber-related brain responses evoked by laser heat pulses applied to the back","year":2025,"lang":"en","type":"article","venue":"The Journal of Physiological Sciences","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Fondation Chiropratique du Québec; Réseau en Bio-Imagerie du Quebec","keywords":"Laser; Materials science; Optics; Neuroscience; Physics; Psychology","score_opus":0.021831950480321428,"score_gpt":0.31190690153500095,"score_spread":0.2900749510546795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408787519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91848093,0.0007309971,0.000044828637,0.06910263,0.00021801963,0.00033880284,0.0000036885376,0.000016125708,0.011063954],"genre_scores_gemma":[0.9841783,0.00008674029,0.00015804396,0.012327603,0.00015813387,0.0000042987385,9.0623377e-7,0.000004153873,0.0030818197],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980722,0.00043398986,0.0004587393,0.00016265671,0.0005530895,0.00031934425],"domain_scores_gemma":[0.9978579,0.0015064821,0.00014351498,0.0002478361,0.0001232998,0.00012095033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030798786,0.00015200184,0.00037348003,0.00013208677,0.0003701785,0.00002593504,0.0007917803,0.00007586577,0.0008521362],"category_scores_gemma":[0.0009659735,0.000053354175,0.00013745166,0.0013767384,0.0011561349,0.00005441771,0.00010670606,0.00045188103,0.0000783179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001967725,0.0001768595,0.00028440962,0.000013021351,0.0001322385,0.000008056713,0.0005640181,0.0005919407,0.7289992,0.00063167664,0.26271036,0.0039205146],"study_design_scores_gemma":[0.0100984955,0.023636859,0.4228578,0.0022243806,0.0012985573,0.00066247565,0.0128918635,0.0007073663,0.20295992,0.06215667,0.25934234,0.0011632638],"about_ca_topic_score_codex":0.000017005377,"about_ca_topic_score_gemma":0.0000012509466,"teacher_disagreement_score":0.52603924,"about_ca_system_score_codex":0.000032160253,"about_ca_system_score_gemma":0.000120143646,"threshold_uncertainty_score":0.93302935},"labels":[],"label_agreement":null},{"id":"W4408914001","doi":"10.1016/j.autneu.2025.103272","title":"The effects of rhythmic handgrip exercise on muscle sympathetic nerve activity: A systematic review and meta-analysis","year":2025,"lang":"en","type":"review","venue":"Autonomic Neuroscience","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Women and Children’s Health Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meta-analysis; Physical medicine and rehabilitation; Rhythm; Medicine; Neuroscience; Psychology; Internal medicine","score_opus":0.03192670159388073,"score_gpt":0.3224296092736597,"score_spread":0.290502907679779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408914001","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000039267536,0.9922808,0.000016738792,0.00022244615,0.00036197336,0.0068940017,0.000030779625,0.000043354277,0.000110669345],"genre_scores_gemma":[0.00061399146,0.99516404,0.000009472709,0.00088049675,0.000012739949,0.0012781867,0.0000031817945,0.000033135522,0.0020047696],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99637765,0.0007271891,0.0011373804,0.00087022304,0.00049063767,0.0003968971],"domain_scores_gemma":[0.9939985,0.002499086,0.0012185511,0.0020525262,0.00007580458,0.0001554756],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001490662,0.0006135041,0.008903512,0.0006681647,0.00021494523,0.00004782136,0.0006270232,0.00014053681,0.0000072794355],"category_scores_gemma":[0.0015715647,0.00030955498,0.0028165567,0.002235435,0.0005662192,0.000061424944,0.00017461948,0.0005279196,0.000007266052],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031054835,0.00006259037,1.3825456e-7,0.97758085,0.0075390525,0.000050062594,0.000026214344,5.097728e-7,0.000030642743,0.000073559684,0.00005465432,0.014578647],"study_design_scores_gemma":[0.00012277375,0.00023788915,0.000009619502,0.18539755,0.8091459,0.000045533747,0.0000020162247,0.000021088594,0.000027127411,0.000012138966,0.0047770403,0.00020131422],"about_ca_topic_score_codex":0.000009270225,"about_ca_topic_score_gemma":6.4170024e-7,"teacher_disagreement_score":0.80160683,"about_ca_system_score_codex":0.00008643565,"about_ca_system_score_gemma":0.00038802825,"threshold_uncertainty_score":0.9999356},"labels":[],"label_agreement":null},{"id":"W4408917326","doi":"10.21203/rs.3.rs-5705569/v1","title":"Degrees of Uncertainty: Conformal Deep Learning for Core Body Temperature Prediction in Extreme Environments","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Core (optical fiber); Conformal map; Computer science; Artificial intelligence; Mathematics; Geometry","score_opus":0.09102035732085001,"score_gpt":0.37963225434435566,"score_spread":0.28861189702350565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408917326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836653,0.0034535076,0.00035966435,0.00038537654,0.00046827848,0.006278373,0.0004293322,0.00008945591,0.0048707165],"genre_scores_gemma":[0.99133635,0.001048355,0.000488644,0.00003631637,0.00038846588,0.00080818444,0.002050779,0.000047570073,0.003795331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959967,0.0002894102,0.00076470873,0.0006410413,0.0015299913,0.00077815825],"domain_scores_gemma":[0.9977571,0.0005954227,0.00020002206,0.00074464444,0.0005048116,0.00019800369],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0023296229,0.0003545924,0.0008326286,0.0015335002,0.00016052932,0.00002432899,0.00036738167,0.0008792614,0.00024977492],"category_scores_gemma":[0.0015333006,0.00031444873,0.00029171855,0.000606439,0.000413349,0.00006528241,0.00048119872,0.0037676187,0.000005164087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0133553,0.0020769346,0.70839953,0.044124626,0.0020815819,0.00040608778,0.01588663,0.08904225,0.056234084,0.0022407689,0.006950071,0.05920211],"study_design_scores_gemma":[0.013361098,0.005375076,0.8139405,0.029365038,0.00041953044,0.00003524075,0.012106878,0.10304827,0.0031545951,0.0012772175,0.017166309,0.0007502461],"about_ca_topic_score_codex":0.00023641005,"about_ca_topic_score_gemma":0.000049092057,"teacher_disagreement_score":0.10554094,"about_ca_system_score_codex":0.00047679804,"about_ca_system_score_gemma":0.00053451763,"threshold_uncertainty_score":0.99993074},"labels":[],"label_agreement":null},{"id":"W4408921972","doi":"10.1007/s00403-025-04161-7","title":"Influence of the cosmetic use of botulinum toxin type a on temperature measurements using infrared thermography","year":2025,"lang":"en","type":"article","venue":"Archives of Dermatological Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Thermography; Post-hoc analysis; Analysis of variance; Post hoc; Botulinum toxin; Medicine; Tukey's range test; Nuclear medicine; Significant difference; Surgery; Mathematics; Infrared; Internal medicine; Statistics; Physics","score_opus":0.13176386504491744,"score_gpt":0.3920412559456714,"score_spread":0.26027739090075397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408921972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945105,0.0004984872,0.000011195877,0.00047742133,0.00004465062,0.0007908605,0.000018369963,0.000014455469,0.0036341064],"genre_scores_gemma":[0.99821633,0.000120530545,0.0012224845,0.00033396282,0.000009241997,0.00001188716,0.000004226859,0.000011548237,0.00006978357],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9967875,0.0007901573,0.00060895697,0.00027065404,0.0011526841,0.00039008138],"domain_scores_gemma":[0.996569,0.0017701415,0.00017123978,0.00081656117,0.00057427475,0.00009879786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005701623,0.00016976144,0.00057311583,0.00077138614,0.00010809098,0.000007885509,0.0005260565,0.00015270406,0.000021993805],"category_scores_gemma":[0.0034882396,0.00009819636,0.00023562543,0.0021863542,0.001981524,0.0000481786,0.00025398523,0.0007978026,8.238471e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019066618,0.00044683565,0.36218438,0.00050455873,0.0002516172,0.000015905229,0.00033475924,0.00023602427,0.63151354,0.0018645651,0.00020653856,0.00053459284],"study_design_scores_gemma":[0.0012426587,0.00065750343,0.7415485,0.002561134,0.00007273587,0.000017374545,0.00016652652,0.00015129811,0.24867047,0.0047248793,0.000108044165,0.0000788945],"about_ca_topic_score_codex":0.000029233994,"about_ca_topic_score_gemma":0.0000012985392,"teacher_disagreement_score":0.38284308,"about_ca_system_score_codex":0.000016797461,"about_ca_system_score_gemma":0.0002920546,"threshold_uncertainty_score":0.7301008},"labels":[],"label_agreement":null},{"id":"W4408976497","doi":"10.1093/jhps/hnaf011.284","title":"EP5.22 Characterizing Anatomic Variances in Hip Impingement and Dysplasia using Multidomain Statistical Shape Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Hip Preservation Surgery","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Fowler Kennedy Sport Medicine Clinic; London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Hip dysplasia; Orthodontics; Medical physics; Radiology; Radiography","score_opus":0.03319138790774292,"score_gpt":0.3249273455881475,"score_spread":0.2917359576804046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408976497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98722583,0.00080062344,0.0094208885,0.0019730933,0.00030464484,0.000182815,0.000008728421,0.000010854859,0.00007254413],"genre_scores_gemma":[0.9927996,0.00027379364,0.0056529497,0.0010672768,0.00014564353,0.000004633509,0.000021604763,0.000012082327,0.00002246474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771523,0.00023120774,0.0011450724,0.00019052908,0.0004669649,0.00025100898],"domain_scores_gemma":[0.9977196,0.0011313523,0.0005623479,0.00018395735,0.00028697174,0.00011580789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025603466,0.00015625468,0.00078258285,0.0021880472,0.000064653985,0.00003937668,0.0000880726,0.00009617215,0.00020416692],"category_scores_gemma":[0.0011702175,0.00013471447,0.00016380864,0.0015340466,0.00008570218,0.00039954772,0.000042273354,0.00036434096,4.4605258e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065178267,0.0001247886,0.96859866,0.00021662703,0.0010529602,0.00023672121,0.00030555556,0.00007863398,0.022440558,0.00032313,0.00058415113,0.005386405],"study_design_scores_gemma":[0.0011795098,0.00004968576,0.9693873,0.00072611263,0.0008745806,0.000045076766,0.00024283126,0.025679188,0.0005866546,0.0006003258,0.00052159285,0.000107173044],"about_ca_topic_score_codex":0.00006568106,"about_ca_topic_score_gemma":0.000005592249,"teacher_disagreement_score":0.025600554,"about_ca_system_score_codex":0.00015599295,"about_ca_system_score_gemma":0.00023532377,"threshold_uncertainty_score":0.54934967},"labels":[],"label_agreement":null},{"id":"W4409264418","doi":"10.3390/s25082349","title":"A Multitask CNN for Near-Infrared Probe: Enhanced Real-Time Breast Cancer Imaging","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Michael Smith Health Research BC","keywords":"Jaccard index; Computer science; Convolutional neural network; Artificial intelligence; Mammography; Pattern recognition (psychology); Workflow; Breast cancer; Cancer; Medicine","score_opus":0.0057095726549707525,"score_gpt":0.2842162219492688,"score_spread":0.2785066492942981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409264418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9378721,0.0005169067,0.0007119112,0.008773385,0.0010077145,0.0032268164,0.00027465672,0.00065568014,0.04696083],"genre_scores_gemma":[0.92367244,0.00023405079,0.018827738,0.0040365276,0.00091865053,0.000638307,0.0001640541,0.00015326681,0.051354993],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983064,0.000043822027,0.0003951307,0.00044970438,0.00026527085,0.0005396816],"domain_scores_gemma":[0.99867004,0.00015313643,0.000114504306,0.0005236379,0.00038588993,0.00015280224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024006703,0.00027373704,0.0004976062,0.00025050022,0.00017419597,0.000028018523,0.000136086,0.00011324311,0.00039283885],"category_scores_gemma":[0.00018028833,0.000237062,0.00021115698,0.0005740994,0.00023455806,0.000062798645,0.000037254966,0.00023283286,0.00004726779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036317448,0.0004262929,0.015775252,0.0014508397,0.0010978957,0.00014370382,0.004082604,0.00017435526,0.82287943,0.00082151045,0.055126596,0.09438976],"study_design_scores_gemma":[0.05745579,0.0010524439,0.4167102,0.013004417,0.0046055657,0.00051834184,0.0054791854,0.08316884,0.35580063,0.006244055,0.052694105,0.0032664235],"about_ca_topic_score_codex":0.0002877271,"about_ca_topic_score_gemma":0.0000072261746,"teacher_disagreement_score":0.4670788,"about_ca_system_score_codex":0.00014628815,"about_ca_system_score_gemma":0.00028126966,"threshold_uncertainty_score":0.9667108},"labels":[],"label_agreement":null},{"id":"W4409304147","doi":"10.3390/s25082356","title":"Thermography in Bike Fitting: A Literature Review","year":2025,"lang":"en","type":"review","venue":"Sensors","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek; Agentschap Innoveren en Ondernemen","keywords":"Thermography; Computer science; Simulation; Infrared","score_opus":0.017777143025450675,"score_gpt":0.3523647242940219,"score_spread":0.3345875812685712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409304147","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008620056,0.97391707,3.1778725e-7,0.00040081554,0.00045805995,0.0031304467,0.00007762125,0.00015532703,0.02185171],"genre_scores_gemma":[6.281106e-7,0.9933466,0.00021265453,0.0023185913,0.00038522316,0.00020642501,0.0004794159,0.00009710638,0.0029533706],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963968,0.0004648948,0.001300335,0.0007652439,0.0004919729,0.0005807493],"domain_scores_gemma":[0.9974971,0.0004496935,0.000413167,0.0012898096,0.00016578697,0.000184438],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007874245,0.00081649155,0.0042378884,0.00212311,0.000044901655,0.000021010715,0.00035119217,0.00074406364,0.00019125124],"category_scores_gemma":[0.0007797441,0.00056418095,0.001755039,0.0060229306,0.00014068927,0.000030430521,0.00007607107,0.0020410744,0.000049818147],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009155389,0.00005953255,0.000019508618,0.36619022,0.00024669198,0.0009117578,0.000086585394,3.1524287e-8,1.4549302e-7,0.000064212734,0.0058687734,0.62654334],"study_design_scores_gemma":[0.00025086157,0.00004914499,0.00001537392,0.47279456,0.0014277364,0.00024534098,0.000007700977,3.3460856e-7,1.550736e-7,0.000020341058,0.52497214,0.00021629715],"about_ca_topic_score_codex":0.0000050668405,"about_ca_topic_score_gemma":0.0000014786997,"teacher_disagreement_score":0.6263271,"about_ca_system_score_codex":0.00009438164,"about_ca_system_score_gemma":0.00037461455,"threshold_uncertainty_score":0.999681},"labels":[],"label_agreement":null},{"id":"W4409409562","doi":"10.26685/urncst.789","title":"Low-Cost Fine-Tuning of Data-Efficient Image Transformers on Knee X-Ray Imaging for Osteoarthritis Detection","year":2025,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"University of Toronto","keywords":"Osteoarthritis; Transformer; Computer science; Computer vision; Medicine; Artificial intelligence; Engineering; Electrical engineering; Voltage; Pathology","score_opus":0.04505475350409808,"score_gpt":0.4218199750272821,"score_spread":0.376765221523184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409409562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9392069,0.0020304653,0.001983157,0.054520834,0.00048095526,0.0009928741,0.000012884353,0.000037262515,0.00073465373],"genre_scores_gemma":[0.9969745,0.0016666859,0.0010453961,0.00016037737,0.00007630112,0.00001527852,0.0000040507316,0.000007642121,0.0000497276],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971303,0.00011869609,0.00070599065,0.00054844725,0.00078274217,0.000713856],"domain_scores_gemma":[0.9976073,0.000933212,0.00012675085,0.00030635763,0.0008203864,0.00020600464],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008400328,0.00015117129,0.000417352,0.0022087712,0.00063965854,0.000068453526,0.0004277753,0.00017248903,0.0000045857378],"category_scores_gemma":[0.0032974565,0.000105805826,0.000062690786,0.0031345922,0.0046142205,0.00026428656,0.00020118998,0.0023734707,0.0000011105706],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005955628,0.00019961574,0.0064612688,0.0000944252,0.00003471056,0.00007961306,0.000023918099,0.000001763888,0.045583364,0.0012388679,0.00013783171,0.9455491],"study_design_scores_gemma":[0.10220405,0.034751963,0.13979562,0.026668703,0.0008468128,0.0049531064,0.017659826,0.21740226,0.12869988,0.30795884,0.01670876,0.0023501776],"about_ca_topic_score_codex":0.000014668971,"about_ca_topic_score_gemma":0.000033593777,"teacher_disagreement_score":0.94319886,"about_ca_system_score_codex":0.000120441466,"about_ca_system_score_gemma":0.00046065613,"threshold_uncertainty_score":0.9999281},"labels":[],"label_agreement":null},{"id":"W4409632657","doi":"10.1158/1538-7445.am2025-2507","title":"Abstract 2507: Comparative assessment of data analysis methods to enable robust 10-second diagnosis of tissue pathologies with picosecond infrared laser mass spectrometry","year":2025,"lang":"en","type":"article","venue":"Cancer Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Public Health; University Health Network; University of Toronto","funders":"","keywords":"Mass spectrometry; Infrared; Picosecond; Laser; Materials science; Analytical Chemistry (journal); Medicine; Chemistry; Optics; Chromatography; Physics","score_opus":0.1860530376001525,"score_gpt":0.5322869979929757,"score_spread":0.3462339603928233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409632657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.937838,0.0025084468,0.01281787,0.0006469166,0.000100802405,0.0015822216,0.0009170931,0.00003724985,0.04355139],"genre_scores_gemma":[0.8362918,0.0003139506,0.15835498,0.00013358628,0.00007910125,0.0004353214,0.00021997475,0.0000249077,0.004146381],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967052,0.00044501756,0.00064496824,0.0007060677,0.0009374775,0.00056128245],"domain_scores_gemma":[0.9950982,0.0015381813,0.00020404806,0.0018757854,0.001094085,0.00018974699],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034120735,0.00023477031,0.0012476206,0.0024986565,0.0000900243,0.000028388049,0.00083722477,0.0001359281,0.011015911],"category_scores_gemma":[0.00044486442,0.00017944064,0.00010229239,0.006388224,0.00060388213,0.00018164945,0.00038576548,0.00071756955,0.0000043222426],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023401096,0.0012753956,0.45345068,0.003602529,0.0126971295,0.00026461572,0.0022385246,0.002521426,0.44031563,0.0004891218,0.06831162,0.012493222],"study_design_scores_gemma":[0.0018194616,0.0012746468,0.4701466,0.00067315355,0.00092873967,0.0000017025183,0.0033205152,0.0001718861,0.5156364,0.00039693678,0.0054255472,0.00020444843],"about_ca_topic_score_codex":0.00041684532,"about_ca_topic_score_gemma":0.00027226083,"teacher_disagreement_score":0.14553711,"about_ca_system_score_codex":0.00028065348,"about_ca_system_score_gemma":0.0008406773,"threshold_uncertainty_score":0.98988813},"labels":[],"label_agreement":null},{"id":"W4410241999","doi":"10.18280/mmep.120404","title":"Automated Detection of Knee Osteoarthritis Using CNN with Adaptive Moment Estimation","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Trunojoyo Madura","keywords":"Osteoarthritis; Moment (physics); Computer science; Artificial intelligence; Estimation; Physical medicine and rehabilitation; Medicine; Pattern recognition (psychology); Engineering; Physics; Pathology","score_opus":0.014128455549833687,"score_gpt":0.22647319946416056,"score_spread":0.21234474391432687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410241999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32426125,0.00022115698,0.674816,0.000019433823,0.000025931764,0.00028588402,8.575816e-7,0.00018024693,0.00018924342],"genre_scores_gemma":[0.8679633,0.00000793025,0.13193908,0.000007766749,0.000010491482,0.000029110372,0.0000021930514,0.000017004913,0.000023124847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992301,0.000007969383,0.0002868776,0.00014673288,0.00016684966,0.00016147082],"domain_scores_gemma":[0.9996219,0.000056135374,0.00005023715,0.0001372193,0.00007718418,0.000057273086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016579436,0.00013755284,0.00029766356,0.00021970527,0.000037547292,0.000009432741,0.000023622233,0.000076372686,0.0000037050304],"category_scores_gemma":[0.000019983767,0.00011002203,0.000033272896,0.00028150674,0.00005083624,0.000045720804,0.000012616178,0.00014192674,7.095361e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006996156,0.00005621552,0.000018265187,0.0016089027,0.000104441824,0.0000038365897,0.00049514935,0.9766516,0.014340138,0.0027804181,6.494277e-7,0.0038704148],"study_design_scores_gemma":[0.00087178603,0.00048521336,0.00003567866,0.0035925705,0.00016278116,0.000044260672,0.000045990986,0.98776555,0.004744561,0.0021548306,0.000004945609,0.00009185629],"about_ca_topic_score_codex":0.000009170333,"about_ca_topic_score_gemma":1.2598579e-7,"teacher_disagreement_score":0.54370207,"about_ca_system_score_codex":0.000036174206,"about_ca_system_score_gemma":0.000018635437,"threshold_uncertainty_score":0.44865683},"labels":[],"label_agreement":null},{"id":"W4410295268","doi":"10.1109/isbi60581.2025.10981177","title":"Breast Cancer Detection from Thermal Images Using Asymmetries in Learned Texture Vectors","year":2025,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Texture (cosmology); Cancer; Artificial intelligence; Computer vision; Breast cancer; Image texture; Pattern recognition (psychology); Image (mathematics); Image processing; Medicine; Internal medicine","score_opus":0.011412265079345008,"score_gpt":0.29988421034158375,"score_spread":0.28847194526223874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410295268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98845655,0.0012045042,0.0012389035,0.0015474769,0.00047800931,0.00025828514,0.000022337192,0.00010765845,0.0066862917],"genre_scores_gemma":[0.99766874,0.000061913706,0.0004502027,0.0008427509,0.00026417602,0.000013988746,0.000008733434,0.000018594325,0.0006709255],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990315,0.000054674932,0.0002282999,0.00025078378,0.00019954704,0.00023521984],"domain_scores_gemma":[0.999486,0.000088491004,0.000049174963,0.00023209413,0.00009136972,0.00005281371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014696472,0.00015889788,0.0002903939,0.0005228957,0.00006172624,0.00001585854,0.00007444456,0.00014758566,0.00083019934],"category_scores_gemma":[0.000066050634,0.000120632045,0.000076244425,0.0010815047,0.00011236079,0.000089029396,0.000030259107,0.00036932758,0.0000048604684],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007152007,0.000092731825,0.39174137,0.0000638267,0.00021848214,0.000044772267,0.00037333946,0.000069641406,0.4344324,0.00007120102,0.00028944403,0.1718876],"study_design_scores_gemma":[0.0019134408,0.000044942106,0.8937384,0.00043446856,0.0001544836,0.000018803146,0.00057094474,0.0008524652,0.101662174,0.00024768614,0.00023363746,0.00012853828],"about_ca_topic_score_codex":0.006623315,"about_ca_topic_score_gemma":0.00034677758,"teacher_disagreement_score":0.50199705,"about_ca_system_score_codex":0.00015311527,"about_ca_system_score_gemma":0.000111544905,"threshold_uncertainty_score":0.99999166},"labels":[],"label_agreement":null},{"id":"W4410526415","doi":"10.2196/69072","title":"Digital Infrared Thermographic Imaging for Limb Salvage in Patients at Risk of Amputation: Prospective Observational Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Preprint; Amputation; Medicine; Infrared; Limb amputation; Surgery; Computer science; World Wide Web; Physics; Optics","score_opus":0.03943019438721549,"score_gpt":0.3934298346761358,"score_spread":0.3539996402889203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410526415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832073,0.00008811035,0.00019398922,0.00017233606,0.00009255845,0.0053530294,0.0001754749,0.000035696732,0.010681522],"genre_scores_gemma":[0.9980059,0.000009303315,0.00012541168,0.00005476467,0.000037257018,0.0010655348,0.0002157642,0.000021749682,0.00046428686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99732435,0.00022463643,0.0006427146,0.0003086551,0.0010569018,0.0004427579],"domain_scores_gemma":[0.9967276,0.0009428001,0.0001903589,0.00034148426,0.0017186257,0.00007916327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001351178,0.0001822272,0.0004064315,0.0015781723,0.00022673511,0.000034028875,0.00020284703,0.000070884096,0.000034160443],"category_scores_gemma":[0.0008894411,0.00014948232,0.00015018076,0.0024458044,0.000387793,0.0004528435,0.00018095551,0.00055586285,0.000005529056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022946184,0.0017024772,0.9758621,0.00022757878,0.00023864345,0.0000036615213,0.010031474,0.000005881346,0.000057758596,0.00030511338,0.0011069429,0.008163783],"study_design_scores_gemma":[0.008797023,0.0022712064,0.97750384,0.00030118795,0.00003035982,6.1948384e-7,0.0046802755,0.000538779,0.00026470653,0.005374315,0.00013307578,0.000104597006],"about_ca_topic_score_codex":0.000013472222,"about_ca_topic_score_gemma":0.0000066004413,"teacher_disagreement_score":0.014798645,"about_ca_system_score_codex":0.00034777678,"about_ca_system_score_gemma":0.00018995271,"threshold_uncertainty_score":0.6095712},"labels":[],"label_agreement":null},{"id":"W4410566011","doi":"10.1016/j.jocs.2025.102593","title":"From simulations to surrogates: Neural networks enhancing burn wound healing predictions","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Nederlandse Brandwonden Stichting; Health~Holland","keywords":"Burn wound; Wound healing; Computer science; Medicine; Surgery","score_opus":0.013274065599196923,"score_gpt":0.32407906892411725,"score_spread":0.31080500332492034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410566011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6225133,0.0001486466,0.37270212,0.0031145737,0.0009794988,0.00013369172,0.0000058230526,0.00001759509,0.00038473812],"genre_scores_gemma":[0.9836572,0.000002874857,0.014109855,0.0015382869,0.00064551417,0.0000012613826,0.0000069703324,0.000005398769,0.000032670036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983142,0.00003492927,0.00058007264,0.00016453852,0.00068188814,0.00022438793],"domain_scores_gemma":[0.9976956,0.0006318148,0.00020812482,0.000121187695,0.0011037226,0.00023952447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071999995,0.00009683668,0.00023235638,0.0007003842,0.00035922127,0.00006289191,0.00021821777,0.00003874559,0.000059307717],"category_scores_gemma":[0.0006061398,0.00008104594,0.000089795656,0.0019814787,0.00023927704,0.00026861372,0.000043613018,0.00032128446,0.0000018084312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006432543,0.000052420924,0.006964956,0.00000540396,0.000040938055,0.0000093246,0.0005504945,0.9870674,0.0033148532,0.00034370398,0.0003357672,0.0012504329],"study_design_scores_gemma":[0.0008775182,0.00024379765,0.14862521,0.00046017882,0.00009286119,0.000091067,0.00037576072,0.8410235,0.00024079162,0.0077068997,0.00018472741,0.00007770161],"about_ca_topic_score_codex":0.000025726691,"about_ca_topic_score_gemma":0.0000068545614,"teacher_disagreement_score":0.36114386,"about_ca_system_score_codex":0.00018000774,"about_ca_system_score_gemma":0.0005616637,"threshold_uncertainty_score":0.33049574},"labels":[],"label_agreement":null},{"id":"W4410879609","doi":"10.1016/j.joca.2025.03.028","title":"Gait biomechanics are associated with future osteoarthritis symptom flares","year":2025,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Joseph's Health Care; London Health Sciences Centre; Western University","funders":"","keywords":"Biomechanics; Osteoarthritis; Gait; Physical medicine and rehabilitation; Medicine; Gait analysis; Physical therapy; Anatomy; Pathology; Alternative medicine","score_opus":0.00409813651158441,"score_gpt":0.21129699487216516,"score_spread":0.20719885836058075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410879609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96954596,0.01630287,0.00003474408,0.0020027957,0.00056431757,0.00074550725,0.00016644222,0.00024930085,0.01038808],"genre_scores_gemma":[0.9944623,0.00072664185,0.00012149539,0.00225839,0.00031551873,0.000096046555,0.00015898563,0.000052840616,0.0018077921],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978922,0.000091851696,0.00039306408,0.0005381306,0.0004628618,0.0006218717],"domain_scores_gemma":[0.99872696,0.00007879602,0.000153438,0.0005067689,0.00028263748,0.00025139362],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028644744,0.0003734435,0.00069316366,0.0003467055,0.0003018209,0.000077486,0.000121923105,0.0003180095,0.00019363967],"category_scores_gemma":[0.000105892264,0.00031622144,0.00014400587,0.00088034774,0.00026555697,0.00012830751,0.000083317726,0.00041454972,0.00001215067],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020026988,0.0006919175,0.07365663,0.0009332179,0.00039479992,0.005998457,0.0029519165,0.0000013638695,0.41071045,0.006957992,0.01972804,0.4759725],"study_design_scores_gemma":[0.106845066,0.028969975,0.10527268,0.042880703,0.0041089715,0.0031218769,0.035165194,0.00006865899,0.41002652,0.004778722,0.25405142,0.004710223],"about_ca_topic_score_codex":0.0000053458534,"about_ca_topic_score_gemma":0.00017191572,"teacher_disagreement_score":0.47126228,"about_ca_system_score_codex":0.000056447105,"about_ca_system_score_gemma":0.00010233308,"threshold_uncertainty_score":0.999929},"labels":[],"label_agreement":null},{"id":"W4411291066","doi":"10.1158/1557-3265.sabcs24-p2-06-16","title":"Abstract P2-06-16: Addressing Thermal and Battery Efficiency in AI Enhanced Portable Ultrasound Screening Protocols for Breast Cancer","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Breast cancer; Battery (electricity); Ultrasound; Internal medicine; Radiology","score_opus":0.18739584994741895,"score_gpt":0.5563357357897002,"score_spread":0.3689398858422812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411291066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9677101,0.001871427,0.0009797785,0.007119066,0.00026572106,0.017683506,0.00015479063,0.000068734,0.0041468875],"genre_scores_gemma":[0.9801859,0.00030769932,0.00029487096,0.002097043,0.00082153024,0.015326194,0.000020496782,0.00004809206,0.00089811935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99609125,0.0002481475,0.0010468942,0.0008005867,0.00077961804,0.0010334922],"domain_scores_gemma":[0.9957718,0.002568606,0.00014841925,0.0005321447,0.0006889977,0.00029002977],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005301996,0.00024764988,0.0007518889,0.0005133701,0.00028408723,0.00008948984,0.00032123958,0.0003190601,0.0009853459],"category_scores_gemma":[0.0014410807,0.00020147215,0.00016982449,0.0010823361,0.00095032045,0.00016632573,0.00011871898,0.0018940136,0.0000041537896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064535425,0.000767715,0.6718055,0.0021581796,0.0002476022,0.00005786391,0.00035111673,0.00008934073,0.050716586,0.00009289858,0.009184027,0.25807562],"study_design_scores_gemma":[0.007976498,0.00041304648,0.9733624,0.008018984,0.0000601438,0.000009199004,0.00034215953,0.00019596485,0.006243266,0.00033787263,0.0027956348,0.00024481918],"about_ca_topic_score_codex":0.00086608157,"about_ca_topic_score_gemma":0.00022428003,"teacher_disagreement_score":0.30155692,"about_ca_system_score_codex":0.00023447072,"about_ca_system_score_gemma":0.0012715951,"threshold_uncertainty_score":0.9999279},"labels":[],"label_agreement":null},{"id":"W4411446235","doi":"10.1016/j.jacadv.2025.101888","title":"Artificial Intelligence–Enabled Analysis of Thermography to Diagnose Acute Decompensated Heart Failure","year":2025,"lang":"en","type":"article","venue":"JACC Advances","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"Novo Nordisk; AstraZeneca","keywords":"Thermography; Acute decompensated heart failure; Medicine; Heart failure; Internal medicine; Cardiology; Infrared","score_opus":0.009800846323065703,"score_gpt":0.32957325867337534,"score_spread":0.3197724123503096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411446235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793176,0.0016679241,0.010022504,0.0049884235,0.00040033666,0.0008558327,0.0000505063,0.00015233045,0.002544529],"genre_scores_gemma":[0.9862522,0.00020590542,0.011061626,0.0021006705,0.00009091073,0.00007975675,0.00006114872,0.000019445044,0.00012832158],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979972,0.00007468405,0.0007057771,0.00044731208,0.00039255788,0.00038244115],"domain_scores_gemma":[0.99836785,0.0003496107,0.00014691413,0.0006410899,0.00032741658,0.00016714398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033411066,0.00025813383,0.00096979324,0.0022245762,0.00009126211,0.000015932432,0.0002468538,0.00011900148,0.00061770086],"category_scores_gemma":[0.00025512598,0.00020584393,0.00049440376,0.00815775,0.00020353182,0.000118205535,0.00006135171,0.00023971192,0.000014353931],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003547355,0.0015522994,0.57762724,0.00043061515,0.022194093,0.00017818986,0.0026790362,0.002671695,0.16177693,0.010280183,0.008063265,0.20899908],"study_design_scores_gemma":[0.0015552463,0.002468141,0.3827811,0.0016543035,0.024355408,0.000022363996,0.006706365,0.0021699048,0.4850646,0.032818526,0.059103567,0.0013004779],"about_ca_topic_score_codex":0.000041586958,"about_ca_topic_score_gemma":0.00012229572,"teacher_disagreement_score":0.32328767,"about_ca_system_score_codex":0.000034495646,"about_ca_system_score_gemma":0.00007079176,"threshold_uncertainty_score":0.83940715},"labels":[],"label_agreement":null},{"id":"W4411548117","doi":"10.1152/physiol.2025.40.s1.0318","title":"Impact of Age and Heat Acclimation on the Onset and Sensitivity of Cardiac Strain during Heat Stress","year":2025,"lang":"en","type":"article","venue":"Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Heat stress; Acclimatization; Strain (injury); Internal medicine; Cardiology; Biology; Medicine; Animal science; Genetics","score_opus":0.010852608687734706,"score_gpt":0.29423013821760746,"score_spread":0.2833775295298728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411548117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987016,0.00018519518,0.000003031801,0.00030137322,0.000046042544,0.00023879886,0.00014148913,0.000008823147,0.00037367173],"genre_scores_gemma":[0.9996849,0.00013725029,0.000014377909,0.00008245014,0.00003419707,0.000004417305,0.0000304709,0.000004855326,0.000007084658],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99935114,0.00019649082,0.00014144067,0.00012643979,0.00006701102,0.00011744793],"domain_scores_gemma":[0.9992778,0.00041100508,0.000031869633,0.00021067995,0.000041589366,0.000027077409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021527792,0.00009071284,0.00035182535,0.00009865141,0.000034979017,0.0000014067015,0.000018843015,0.000055676788,0.0000115073235],"category_scores_gemma":[0.00012239744,0.00005582078,0.00006942462,0.00011203432,0.00028148934,0.000016369097,0.000031842545,0.000128164,1.767198e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033198463,0.00004938394,0.03739146,0.00021139962,0.00018051936,0.0000057553784,0.00041843325,0.000021220098,0.9608087,0.0001911921,0.000040877676,0.00034905868],"study_design_scores_gemma":[0.0004431939,0.0003058943,0.95252466,0.00021818203,0.00006426157,0.000006488132,0.00019152077,0.00009306308,0.045696776,0.00042169925,0.0000011494031,0.000033121833],"about_ca_topic_score_codex":0.00019511698,"about_ca_topic_score_gemma":0.0000041798935,"teacher_disagreement_score":0.9151332,"about_ca_system_score_codex":0.000015867225,"about_ca_system_score_gemma":0.00002253978,"threshold_uncertainty_score":0.22763054},"labels":[],"label_agreement":null},{"id":"W4411599992","doi":"10.1109/jbhi.2025.3582739","title":"A Machine Learning Analysis of Physiological Monitoring Signals to Detect Small Airway Narrowing Due to Cold Air Exposure in Asthma","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Rehabilitation Institute; University Health Network","funders":"","keywords":"Asthma; Airway; Computer science; Medicine; Artificial intelligence; Internal medicine; Surgery","score_opus":0.02917744035243708,"score_gpt":0.32348341340899917,"score_spread":0.2943059730565621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411599992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97950256,0.0010143154,0.014387001,0.0043957317,0.0003127506,0.00031062955,0.000008134703,0.000014398513,0.000054500815],"genre_scores_gemma":[0.9787731,0.00034041976,0.016990837,0.0036584684,0.00020076131,0.0000058631563,0.00000351145,0.000007464182,0.000019559067],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.996715,0.00010827633,0.0021116603,0.00009872513,0.00057797757,0.00038837863],"domain_scores_gemma":[0.9981643,0.00022634762,0.0005906902,0.00014181693,0.00023609081,0.00064078416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002694919,0.00017956684,0.0012812177,0.0024713206,0.000086762375,0.00000918503,0.00016868432,0.00016123468,0.000017850047],"category_scores_gemma":[0.00047941547,0.0001256703,0.00020207757,0.0026546519,0.000095529715,0.00007004539,0.000054756427,0.00081073644,0.0000010464805],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051962663,0.0014359211,0.22717108,0.011146179,0.0061240913,0.0007924292,0.05739576,0.022263683,0.120492116,0.00015268858,0.0033050864,0.5445247],"study_design_scores_gemma":[0.012755301,0.039541874,0.86708426,0.018156791,0.0015691943,0.00039542504,0.011961829,0.018056778,0.015676301,0.0002202582,0.0137958145,0.0007861774],"about_ca_topic_score_codex":0.000048674243,"about_ca_topic_score_gemma":0.000008512211,"teacher_disagreement_score":0.6399132,"about_ca_system_score_codex":0.00012858509,"about_ca_system_score_gemma":0.00028473168,"threshold_uncertainty_score":0.5124686},"labels":[],"label_agreement":null},{"id":"W4411875384","doi":"10.1152/physiol.2025.40.s1.0534","title":"Influence of spontaneous bursts of muscle sympathetic nerve activity on the femoral artery and vein flow in young healthy adults","year":2025,"lang":"en","type":"article","venue":"Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Femoral vein; Femoral artery; Anatomy; Medicine; Vein; Femoral nerve; Sympathetic innervation; Artery; Sympathetic nerve; Internal medicine; Cardiology","score_opus":0.006853490777012721,"score_gpt":0.2533071567260367,"score_spread":0.246453665949024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411875384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998034,0.0001375186,0.0000024712174,0.0010023916,0.00009608836,0.00037554957,0.000008910951,0.000011934433,0.0003311641],"genre_scores_gemma":[0.9993249,0.00005007562,0.000034776425,0.00051921204,0.000030266032,0.000019879953,0.000003975277,0.000007426267,0.000009494096],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99906504,0.00016536673,0.00024931942,0.00020581373,0.000111681686,0.00020279415],"domain_scores_gemma":[0.9990828,0.00033926472,0.000111379966,0.00036157004,0.000068654976,0.00003631551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020529107,0.00011948003,0.00042289335,0.00017358616,0.000025625654,9.302421e-7,0.00009916795,0.00008624033,0.000009051926],"category_scores_gemma":[0.00016479968,0.00008166227,0.000052407046,0.00028186647,0.00034169425,0.000021627286,0.0000391574,0.00026727852,0.0000012273952],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008441223,0.0008370243,0.028245289,0.0009888228,0.00011201923,0.00019900363,0.004197901,0.00068928493,0.94184554,0.0010943911,0.000058002857,0.013291487],"study_design_scores_gemma":[0.0014508181,0.0016973697,0.98765177,0.00066556584,0.000028617987,0.00005013755,0.00020150041,0.00080918893,0.0063690078,0.0010139373,0.000005186105,0.000056875553],"about_ca_topic_score_codex":0.00034679132,"about_ca_topic_score_gemma":0.000068003275,"teacher_disagreement_score":0.9594065,"about_ca_system_score_codex":0.000030822677,"about_ca_system_score_gemma":0.00006351576,"threshold_uncertainty_score":0.33300906},"labels":[],"label_agreement":null},{"id":"W4412165485","doi":"10.2196/64954","title":"Exploring Women’s Perceptions of Traditional Mammography and the Concept of AI-Driven Thermography to Improve the Breast Cancer Screening Journey: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Mammography; Breast cancer; Thermography; Medicine; Gynecology; Cancer; Computer science; Internal medicine; Physics","score_opus":0.047106107249585485,"score_gpt":0.3690724026259016,"score_spread":0.3219662953763161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412165485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856313,0.0013983172,0.0018384535,0.00761809,0.0005798202,0.002294272,0.0003303578,0.00003621446,0.0002731694],"genre_scores_gemma":[0.98928285,0.00029544914,0.0009893465,0.0016563945,0.00033712867,0.0073495596,0.0000039626652,0.000029490524,0.000055798137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782526,0.00043355091,0.0005651462,0.0003403248,0.0004897361,0.00034599224],"domain_scores_gemma":[0.9982891,0.00046451142,0.00021838318,0.00051697576,0.00037446566,0.00013654279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009943671,0.0002568742,0.0006749007,0.00055809226,0.00022984704,0.000018450628,0.00028950226,0.00006492592,0.0004948054],"category_scores_gemma":[0.00004309236,0.00014471704,0.00030588268,0.0015942815,0.0010260693,0.00011727049,0.00009032681,0.0005347529,1.82012e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005313023,0.0010866598,0.47315323,0.00040445433,0.0067814915,0.000008018657,0.13444676,0.00034212822,0.03469802,0.005049844,0.005254609,0.33346173],"study_design_scores_gemma":[0.0052746427,0.0004183024,0.9426504,0.0006189227,0.0005945202,0.000010164013,0.048163775,0.00008895604,0.0009790194,0.00040183702,0.0006457932,0.00015371101],"about_ca_topic_score_codex":0.0006044476,"about_ca_topic_score_gemma":0.00005505406,"teacher_disagreement_score":0.4694971,"about_ca_system_score_codex":0.0000803605,"about_ca_system_score_gemma":0.00016299172,"threshold_uncertainty_score":0.590139},"labels":[],"label_agreement":null},{"id":"W4412232527","doi":"","title":"The use and applicability of magnetic resonance elastography on the musculoskeletal system of adults: A scoping review","year":2023,"lang":"en","type":"review","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Magnetic resonance elastography; Elastography; Magnetic resonance imaging; Medicine; Nuclear magnetic resonance; Physics; Radiology; Ultrasound","score_opus":0.05083938690370388,"score_gpt":0.3383457997531013,"score_spread":0.28750641284939743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412232527","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007702934,0.9893099,0.000014518976,0.00013503342,0.00011011204,0.009691562,0.00006460476,0.000083064806,0.0005141816],"genre_scores_gemma":[0.000014049882,0.99839693,0.00022419893,0.00013273017,0.00009005932,0.0009996505,0.000017692428,0.00006908762,0.000055586526],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99590164,0.0006467781,0.0018143194,0.00054295716,0.00075150654,0.00034281146],"domain_scores_gemma":[0.9927571,0.004103637,0.00083398423,0.001905875,0.00029257833,0.00010685582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002081871,0.00049286196,0.0029324135,0.00022128153,0.000112503614,0.000011020029,0.0004255792,0.00021764691,0.000033955876],"category_scores_gemma":[0.0012971831,0.00020950614,0.0010744727,0.0017449043,0.0009718738,0.000025993797,0.00013334578,0.000647071,0.000009524252],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003132831,0.00002881323,0.00001649548,0.5367647,0.0001196468,0.0000032560058,0.00002217409,1.706001e-8,2.5861067e-7,0.00063817797,0.0003642608,0.4620109],"study_design_scores_gemma":[0.0002989957,0.0005266746,0.000074746145,0.8149787,0.0017689748,0.000039652386,0.00011465891,0.0000028432887,4.5282655e-7,0.0000044095696,0.18204467,0.00014521525],"about_ca_topic_score_codex":0.00003699554,"about_ca_topic_score_gemma":0.000011049036,"teacher_disagreement_score":0.46186566,"about_ca_system_score_codex":0.000038828293,"about_ca_system_score_gemma":0.00018118296,"threshold_uncertainty_score":0.8543412},"labels":[],"label_agreement":null},{"id":"W4412478226","doi":"10.1117/12.3070751","title":"Multimodal data fusion for accurate psychological stress assessment using HRV and facial features","year":2025,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Facial expression; Stress (linguistics); Artificial intelligence; Sensor fusion; Fusion; Speech recognition; Pattern recognition (psychology); Computer vision","score_opus":0.07470664571008229,"score_gpt":0.4508121642113466,"score_spread":0.37610551850126434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412478226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96891546,0.00032279955,0.020251116,0.002227367,0.00058408943,0.001177087,0.0002564276,0.000103681945,0.0061619794],"genre_scores_gemma":[0.95928967,0.00006407005,0.037651308,0.0018133444,0.0002557984,0.00001959137,0.0004054161,0.000011998699,0.0004888156],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99885964,0.000037113743,0.00022989174,0.00043827764,0.00019514069,0.0002399091],"domain_scores_gemma":[0.9990792,0.00013580873,0.000052473835,0.0005595339,0.00008729402,0.00008566548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002989938,0.0001596896,0.00029372543,0.00014951732,0.0001375281,0.000027078957,0.00019147202,0.00015870736,0.000114654125],"category_scores_gemma":[0.00015472162,0.0001076464,0.0000424727,0.00017471806,0.00012519574,0.00008427847,0.0001949449,0.00024276656,4.2603628e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035888057,0.001976845,0.19868058,0.0011086346,0.00096142734,0.00017612842,0.0005571252,0.000036187677,0.28500408,0.0074754176,0.055066675,0.44536808],"study_design_scores_gemma":[0.013646176,0.00095801917,0.947543,0.0006501679,0.0006690836,0.000083651656,0.001075786,0.023564817,0.0031658218,0.001056576,0.007203077,0.0003837889],"about_ca_topic_score_codex":0.000055366163,"about_ca_topic_score_gemma":0.000013859862,"teacher_disagreement_score":0.74886245,"about_ca_system_score_codex":0.000025533145,"about_ca_system_score_gemma":0.000050060324,"threshold_uncertainty_score":0.43896928},"labels":[],"label_agreement":null},{"id":"W4412567824","doi":"10.1109/aiit63112.2025.11082862","title":"A Unified Neural Network Framework for Consistent and Efficient Real-time Object Detection of Early Longitudinal Melanonychia","year":2025,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Artificial neural network; Object detection; Artificial intelligence; Object (grammar); Pattern recognition (psychology); Computer vision; Machine learning","score_opus":0.012191835345895618,"score_gpt":0.2747102882821193,"score_spread":0.26251845293622367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412567824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97266763,0.00042816385,0.019600395,0.00044811622,0.00048287312,0.0010611647,0.0000057683346,0.00010414699,0.0052017258],"genre_scores_gemma":[0.98850167,0.000030844323,0.010480169,0.0002561529,0.00017476264,0.000044363922,0.000007864127,0.000017274659,0.00048690772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987644,0.00005047286,0.00039190048,0.00028701016,0.00020476404,0.00030146932],"domain_scores_gemma":[0.99877393,0.0004932964,0.000116265066,0.0003240084,0.00019652267,0.000095993986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037771687,0.00017576077,0.00046234165,0.00021486475,0.00010413692,0.000010951078,0.00006233162,0.00016230409,0.000051446605],"category_scores_gemma":[0.00019606267,0.00013833727,0.00014840563,0.0005458053,0.00020076866,0.000016755408,0.000035703357,0.00020928477,0.0000017527598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.030656451,0.0015271087,0.44663432,0.0037714425,0.004764912,0.00013908459,0.002569005,0.0028012693,0.27118292,0.17597568,0.0048819417,0.055095855],"study_design_scores_gemma":[0.007844506,0.005654946,0.9345264,0.0020503104,0.0018772486,0.00011297431,0.0004647722,0.020505395,0.017081864,0.009133267,0.00028848418,0.00045985595],"about_ca_topic_score_codex":0.00009138937,"about_ca_topic_score_gemma":0.000008879929,"teacher_disagreement_score":0.48789206,"about_ca_system_score_codex":0.0000332428,"about_ca_system_score_gemma":0.00006825302,"threshold_uncertainty_score":0.564123},"labels":[],"label_agreement":null},{"id":"W4412725258","doi":"10.1007/s11548-025-03476-0","title":"Anomaly detection using intraoperative iKnife data: a comparative analysis in breast cancer surgery","year":2025,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Southeastern Ontario Academic Medical Organization; Vector Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Ex vivo; Breast cancer; Margin (machine learning); Artificial intelligence; Medicine; Data set; Computer science; Discriminative model; Cancer; In vivo; Pattern recognition (psychology); Machine learning; Internal medicine","score_opus":0.04260734489319894,"score_gpt":0.34709362821208395,"score_spread":0.304486283318885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412725258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709946,0.0013364599,0.023162885,0.002369332,0.0019749026,0.00007281277,0.00003269473,0.0000093159015,0.000047004647],"genre_scores_gemma":[0.99682546,0.00045257952,0.0008741794,0.0011599978,0.0006289104,0.0000024087842,0.00004398796,0.000004794781,0.000007662851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981207,0.00035276357,0.0008758627,0.00023919584,0.00024389297,0.00016754805],"domain_scores_gemma":[0.99738866,0.0012998007,0.00041710536,0.000170867,0.0006469944,0.00007654993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011015893,0.00015935452,0.0010076419,0.0026855895,0.00005005626,0.00002863148,0.00017893713,0.00012980368,0.00004509077],"category_scores_gemma":[0.00007132764,0.00012835451,0.00024322397,0.00092194777,0.00021492442,0.00025403383,0.00006480859,0.00041205538,2.5636845e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013487911,0.0001580245,0.9704399,0.000019881216,0.007121423,0.00065976713,0.0002486902,0.0007645914,0.0010215866,0.000023608489,0.0009415219,0.017252218],"study_design_scores_gemma":[0.0007035638,0.00002451544,0.9693096,0.00043274555,0.0006594581,0.0031587393,0.00008848918,0.025159786,0.00012609022,0.000031154283,0.00020803978,0.00009779154],"about_ca_topic_score_codex":0.00011323902,"about_ca_topic_score_gemma":0.00006198362,"teacher_disagreement_score":0.025830885,"about_ca_system_score_codex":0.0001329238,"about_ca_system_score_gemma":0.0003982192,"threshold_uncertainty_score":0.52341455},"labels":[],"label_agreement":null},{"id":"W4412753561","doi":"10.21203/rs.3.rs-7239085/v1","title":"Structural and Statistical Texture Approaches in the Radiological Assessment of Knee Osteoarthritis: A Multimodal Review","year":2025,"lang":"en","type":"review","venue":"Research Square","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Radiological weapon; Osteoarthritis; Texture (cosmology); Computer science; Medicine; Artificial intelligence; Physical medicine and rehabilitation; Physical therapy; Radiology; Image (mathematics); Pathology; Alternative medicine","score_opus":0.1364091832845114,"score_gpt":0.4798584205749236,"score_spread":0.3434492372904122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412753561","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000051760726,0.990106,0.000024754554,0.00034890763,0.00004660743,0.006423931,0.00031512845,0.000016951539,0.0026659933],"genre_scores_gemma":[0.0012877239,0.99562484,0.0011441279,0.00010968827,0.00016879942,0.0009469943,0.0006404002,0.00002579353,0.000051621642],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99316996,0.0032393206,0.00097016076,0.0006035886,0.0014031973,0.0006137466],"domain_scores_gemma":[0.9947975,0.0038757478,0.00015670259,0.00079235155,0.00021695143,0.00016074149],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0043321713,0.0004048838,0.002681943,0.0006013499,0.00010256613,0.00002481272,0.00039597147,0.0004507475,0.00020384793],"category_scores_gemma":[0.002599529,0.00020773226,0.00033020938,0.0014223275,0.0009766495,0.000032606302,0.00021232993,0.0032060696,0.0000022253607],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023106359,0.00006611198,0.00030851937,0.24082704,0.000087365755,0.00027780852,0.000085966574,6.465413e-8,1.2838031e-7,0.0029831673,0.00068842625,0.7546523],"study_design_scores_gemma":[0.0025813647,0.0041774586,0.013623178,0.71967417,0.0014109651,0.0011126994,0.0009422563,0.00009386458,7.4654714e-8,0.0006261161,0.2552911,0.0004667673],"about_ca_topic_score_codex":0.000020907017,"about_ca_topic_score_gemma":0.0000049809155,"teacher_disagreement_score":0.7541855,"about_ca_system_score_codex":0.0001360987,"about_ca_system_score_gemma":0.0009106245,"threshold_uncertainty_score":0.9990936},"labels":[],"label_agreement":null},{"id":"W4412906444","doi":"10.1007/978-3-031-98284-2_15","title":"Heat of the Moment: Exploring the Influence of Stress and Workload on Facial Temperature Dynamics","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi; Université de Montréal","funders":"","keywords":"Workload; Computer science; Moment (physics); Dynamics (music); Heat stress; Simulation; Operating system; Physics; Acoustics; Classical mechanics; Atmospheric sciences","score_opus":0.010379228178183653,"score_gpt":0.23438502773114103,"score_spread":0.22400579955295738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412906444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797609,0.0014391912,0.010110456,0.002912538,0.0020179688,0.0013626291,0.00007706947,0.000034775625,0.0022844994],"genre_scores_gemma":[0.9974278,0.0002161039,0.0009259889,0.0010986802,0.00018021003,0.000009290417,0.000002794807,0.000014398612,0.00012468627],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981135,0.000027075517,0.00037710165,0.00044467382,0.00079341227,0.0002442467],"domain_scores_gemma":[0.9983915,0.0003839226,0.0001149897,0.0008511075,0.00020693643,0.000051530784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003388619,0.00028976155,0.00046892237,0.00038869967,0.00011888886,0.000023685245,0.00073072745,0.00018054243,0.0000050911417],"category_scores_gemma":[0.00012680487,0.00015648243,0.0001024258,0.00057555374,0.0017225564,0.00006263459,0.00035469432,0.0010194004,2.1324128e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004636645,0.00017468202,0.020040367,0.0021129958,0.00027478824,0.000082729886,0.011923948,0.114521205,0.010969953,0.014239766,0.00002908149,0.8251668],"study_design_scores_gemma":[0.009116582,0.005771121,0.3951952,0.23641695,0.0012652924,0.00034653337,0.0000941126,0.10337947,0.16425921,0.07911674,0.0015071227,0.0035316763],"about_ca_topic_score_codex":0.0000226653,"about_ca_topic_score_gemma":0.000029280742,"teacher_disagreement_score":0.8216351,"about_ca_system_score_codex":0.00010662545,"about_ca_system_score_gemma":0.00023308829,"threshold_uncertainty_score":0.63811684},"labels":[],"label_agreement":null},{"id":"W4413068380","doi":"10.1109/ginotech63460.2025.11076937","title":"Deep Learning Solutions for Knee Osteoarthritis Prediction with Optimized Convolutional Neural Networks","year":2025,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Convolutional neural network; Computer science; Deep learning; Artificial intelligence; Osteoarthritis; Artificial neural network; Machine learning; Pattern recognition (psychology); Medicine","score_opus":0.008510100108955096,"score_gpt":0.23503514164976777,"score_spread":0.22652504154081268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413068380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015994193,0.0018823392,0.95992786,0.0018473604,0.00073964935,0.0016658696,0.000011819618,0.00048752685,0.01744341],"genre_scores_gemma":[0.97541153,0.00003375731,0.01742715,0.0012359321,0.00047140673,0.000454423,0.00040568138,0.00003117916,0.0045289136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870926,0.00004852643,0.00029620485,0.0002740419,0.00021366881,0.000458288],"domain_scores_gemma":[0.9991001,0.00021392219,0.0000651651,0.0001961993,0.0003157271,0.00010892694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028423293,0.00017046156,0.0003010376,0.00023927267,0.00039771854,0.000018707224,0.00005601538,0.00013796736,0.00026317802],"category_scores_gemma":[0.00014210958,0.00013709643,0.00013194677,0.0004378737,0.00021915001,0.000098310404,0.000029802643,0.00038084007,0.0000022830532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014150392,0.0006107561,0.08125065,0.0003923867,0.0019705181,0.0000777539,0.00056052627,0.596305,0.0013554193,0.04386995,0.016250951,0.2432057],"study_design_scores_gemma":[0.016748006,0.0036251114,0.021339385,0.00031640893,0.00052893074,0.00014389177,0.0005241042,0.95242107,0.00002935579,0.00023591115,0.0039126542,0.00017517827],"about_ca_topic_score_codex":0.000013980418,"about_ca_topic_score_gemma":0.000011425802,"teacher_disagreement_score":0.95941734,"about_ca_system_score_codex":0.00007045916,"about_ca_system_score_gemma":0.000082333194,"threshold_uncertainty_score":0.559063},"labels":[],"label_agreement":null},{"id":"W4413300054","doi":"10.1111/iwj.70741","title":"A Comprehensive Scoping Review on the Use of Point‐Of‐Care Infrared Thermography Devices for Assessing Various Wound Types","year":2025,"lang":"en","type":"review","venue":"International Wound Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Toronto; Western University; University of Alberta","funders":"","keywords":"Medicine; Thermography; Wound care; Reimbursement; Psychological intervention; Intensive care medicine; Point of care; MEDLINE; Health care; Nursing","score_opus":0.09441818439702448,"score_gpt":0.40732638428978485,"score_spread":0.31290819989276036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413300054","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004984867,0.9922131,0.00064822385,0.00044951832,0.0013448927,0.0027823653,0.00015672107,0.000018545494,0.002336796],"genre_scores_gemma":[0.00009102242,0.99489903,0.0020871651,0.0019012981,0.00054652285,0.000118134434,0.00016278817,0.000054050615,0.0001399562],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99650204,0.0003341047,0.0017533294,0.00031566186,0.00082848966,0.0002663693],"domain_scores_gemma":[0.990914,0.0041067526,0.0021780245,0.00048165012,0.0022250928,0.000094469244],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059693184,0.00048898946,0.002285642,0.0010324293,0.00017467109,0.00012918853,0.0006380793,0.00024332444,0.00028419608],"category_scores_gemma":[0.0013410214,0.0002860791,0.0014395686,0.00068781903,0.00024857195,0.00019539845,0.00009119248,0.0010401409,0.0000025680383],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023146255,0.0002150149,0.00010305113,0.37361616,0.005967131,0.00006564064,0.00039511142,0.0000072871894,0.000010778054,0.0014402565,0.0042887726,0.6136593],"study_design_scores_gemma":[0.00047437134,0.0002521916,0.000054853852,0.64625204,0.0019513547,0.0003529891,0.000121984034,0.0000030377344,0.0000030143317,0.00033156213,0.35003793,0.00016468763],"about_ca_topic_score_codex":0.0000064818414,"about_ca_topic_score_gemma":0.000002170658,"teacher_disagreement_score":0.61349463,"about_ca_system_score_codex":0.00017239145,"about_ca_system_score_gemma":0.001201592,"threshold_uncertainty_score":0.9999591},"labels":[],"label_agreement":null},{"id":"W4413363059","doi":"10.1002/vrc2.70183","title":"Clinical and pathological findings in giraffes ( <i>Giraffa camelopardalis</i> ) with arterial thrombotic disease","year":2025,"lang":"en","type":"article","venue":"Veterinary Record Case Reports","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stedfast (Canada); Cegep de Saint Hyacinthe","funders":"","keywords":"Medicine; Pathological; Disease; Atherosclerotic cardiovascular disease; Arterial disease; Cardiology; Internal medicine; Vascular disease","score_opus":0.02694100560869262,"score_gpt":0.32826379987970783,"score_spread":0.3013227942710152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413363059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99588555,0.00035844636,0.000062500374,0.0006557076,0.001053621,0.0007861116,0.00000845624,0.0001302957,0.001059285],"genre_scores_gemma":[0.99664074,0.0001871499,0.0017778832,0.0008678842,0.00021781116,0.000086080916,0.000026893875,0.000029470186,0.00016610345],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.99739844,0.00020118839,0.0009660712,0.00077519426,0.00024945696,0.00040964587],"domain_scores_gemma":[0.99859196,0.00013725176,0.00016724035,0.0006823247,0.000074462616,0.0003467681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082661456,0.00032016958,0.0008134585,0.0003076425,0.000095663265,0.000029616464,0.000046708432,0.00019263731,0.000074385134],"category_scores_gemma":[0.00037201715,0.00023798685,0.00013847195,0.00044649668,0.0005175547,0.00010416437,0.00012397363,0.0004797836,0.0000022186239],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018865132,0.00024639713,0.4305005,0.00018772557,0.00005381043,0.56039107,0.00007263788,4.7980416e-7,0.00079973566,0.000016092747,0.00038366113,0.0054614027],"study_design_scores_gemma":[0.003030182,0.003670281,0.6822245,0.001270111,0.00036078165,0.30433697,0.0002921609,0.000046372283,0.00003020924,0.0004597787,0.003928595,0.0003500419],"about_ca_topic_score_codex":0.00004482148,"about_ca_topic_score_gemma":0.000011719546,"teacher_disagreement_score":0.2560541,"about_ca_system_score_codex":0.000047563597,"about_ca_system_score_gemma":0.00019953308,"threshold_uncertainty_score":0.97048223},"labels":[],"label_agreement":null},{"id":"W4413438165","doi":"10.12674/ptk.2025.32.2.150","title":"Effects of Multidirectional Knee Strengthening Exercises Using Elastic Bands on Elderly Patients Aged 65 and Older With Knee Osteoarthritis","year":2025,"lang":"en","type":"article","venue":"Physical Therapy Korea","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Osteoarthritis; Physical therapy; Medicine; Physical medicine and rehabilitation; Gerontology; Alternative medicine; Pathology","score_opus":0.00624240425810227,"score_gpt":0.24750451804144225,"score_spread":0.24126211378333998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413438165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977154,0.00054908893,0.00018543306,0.000033988665,0.0001617555,0.00078505074,0.000010033115,0.000061706625,0.00049754034],"genre_scores_gemma":[0.99897856,0.000058372487,0.00047386743,0.00013239565,0.00017467482,0.000060364207,0.000019854093,0.000034880853,0.00006703002],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987318,0.00007639198,0.00021945832,0.00031564455,0.00040701838,0.00024968496],"domain_scores_gemma":[0.99886054,0.0005965891,0.00009898032,0.00021275716,0.00013718689,0.000093950395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005924696,0.0002645471,0.0005310461,0.00022746102,0.0001101294,0.000011929045,0.000051415594,0.00007223954,0.000015487538],"category_scores_gemma":[0.00007813623,0.0001886002,0.00011133306,0.00039865667,0.0002453331,0.00006557796,0.000017714443,0.0002768669,8.893327e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068542594,0.0027545302,0.081669256,0.0005552378,0.0007547971,0.000040225343,0.002841941,0.000076293996,0.11676559,0.00042543988,0.000062979874,0.78719944],"study_design_scores_gemma":[0.032222714,0.0144071765,0.8241401,0.0052257595,0.0005051401,0.000009596481,0.0001545141,0.0007000754,0.12142789,0.00071300776,0.00008879715,0.0004052597],"about_ca_topic_score_codex":0.000025378733,"about_ca_topic_score_gemma":8.493335e-7,"teacher_disagreement_score":0.7867942,"about_ca_system_score_codex":0.000031210897,"about_ca_system_score_gemma":0.00003972705,"threshold_uncertainty_score":0.7690893},"labels":[],"label_agreement":null},{"id":"W4414003000","doi":"10.1093/brain/awaf325","title":"Quantitative susceptibility mapping reveals differences between subtypes of Lewy body dementia","year":2025,"lang":"en","type":"article","venue":"Brain","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"University College London Hospitals NHS Foundation Trust; Association of British Neurologists; Wolfson Foundation; Alzheimer’s Research UK; University College London Hospitals Biomedical Research Centre; Eisai; Rosetrees Trust; Wellcome Trust","keywords":"Dementia with Lewy bodies; Dementia; Lewy body; Psychology; Parkinson's disease; Neuroscience; Neuroimaging; Grey matter; Substantia nigra; Audiology; Disease; Medicine; Pathology; Magnetic resonance imaging; White matter; Radiology","score_opus":0.03345336250708998,"score_gpt":0.32486507888827976,"score_spread":0.2914117163811898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414003000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845743,0.00088810653,0.0026001048,0.0028972041,0.00014617956,0.0004771624,0.000027476988,0.00005860696,0.008330832],"genre_scores_gemma":[0.9957596,0.000018142668,0.002752664,0.0005421657,0.00007550662,0.000012500157,0.000034596622,0.000010055749,0.00079478143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853367,0.00017031266,0.0004988067,0.00028121468,0.00027263677,0.00024338617],"domain_scores_gemma":[0.998488,0.00072527764,0.0001565566,0.00038926132,0.0001719249,0.00006894851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088919635,0.00015431979,0.00054734806,0.00031875842,0.000061940715,0.000006531833,0.00015551299,0.00010062697,0.00022383995],"category_scores_gemma":[0.0010354259,0.0001258247,0.00012919614,0.00060674344,0.00030855357,0.000046123285,0.00005491816,0.00020002523,0.00000844516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009700629,0.00007479245,0.91358113,0.0003929416,0.00048369917,0.0000055689493,0.0007702778,1.19163836e-7,0.07359785,0.005461803,0.0035179115,0.002016889],"study_design_scores_gemma":[0.00094472314,0.00036543704,0.98445714,0.0006994158,0.00021574197,0.000001010856,0.0011274534,0.00001616197,0.0049271295,0.0066595627,0.0004895188,0.0000966885],"about_ca_topic_score_codex":0.000092258815,"about_ca_topic_score_gemma":0.000013309128,"teacher_disagreement_score":0.07087601,"about_ca_system_score_codex":0.000027867276,"about_ca_system_score_gemma":0.00009413644,"threshold_uncertainty_score":0.5130983},"labels":[],"label_agreement":null},{"id":"W4414015771","doi":"10.11159/icbes25.146","title":"Mirror: Embedded AI Mirror for Thermal Tumor Screening and Remote Monitoring","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Centre National pour la Recherche Scientifique et Technique","keywords":"Thermal; Computer science; Remote sensing; Optics; Physics; Geology; Meteorology","score_opus":0.009078666967222511,"score_gpt":0.2552662402118108,"score_spread":0.24618757324458831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414015771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99526936,0.0013485402,0.0010870283,0.0005747703,0.00093687756,0.00054251944,0.0000010343747,0.000063487365,0.00017635597],"genre_scores_gemma":[0.99435264,0.000017929206,0.005064017,0.00014226967,0.00009076015,0.000015573685,6.667015e-8,0.000010351608,0.0003064127],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886763,0.0000036128251,0.00023932935,0.00032015066,0.00026676795,0.000302512],"domain_scores_gemma":[0.9993713,0.00011780459,0.00008297522,0.00009796559,0.00021325047,0.0001166977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046471492,0.00016036083,0.00032399013,0.00038759562,0.0001935363,0.000101243706,0.00019001799,0.000034258763,1.4082043e-7],"category_scores_gemma":[0.00009566048,0.00010847973,0.000045002198,0.00082024996,0.00019542499,0.00009417737,0.00009013325,0.0002317206,3.0622164e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010422305,0.00016871208,0.08090565,0.005566527,0.0004730774,0.000014361199,0.0011004403,0.00022769012,0.7054347,0.052737053,0.00064090476,0.15168865],"study_design_scores_gemma":[0.0015023592,0.00041526285,0.05818254,0.0046172137,0.000089587564,0.0000831581,0.00004534587,0.90910685,0.02507855,0.000058486752,0.00061022607,0.00021041698],"about_ca_topic_score_codex":0.00002151597,"about_ca_topic_score_gemma":1.5988209e-7,"teacher_disagreement_score":0.90887916,"about_ca_system_score_codex":0.000021486692,"about_ca_system_score_gemma":0.000028239963,"threshold_uncertainty_score":0.44236752},"labels":[],"label_agreement":null},{"id":"W4414061636","doi":"10.51224/srxiv.612","title":"Influence of Habitual Physical Activity on Cognitive Function of Healthy Young Adults After Passive Heat Exposure","year":2025,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé","keywords":"Physical activity; Young adult; Cognition; Physical activity level; Physical exercise; Motor activity","score_opus":0.005281408850870702,"score_gpt":0.26873615572613263,"score_spread":0.26345474687526194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414061636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938321,0.000071896364,0.00030966135,0.00046146684,0.00014073476,0.00064949214,0.000029565292,0.00004013719,0.0044649104],"genre_scores_gemma":[0.99846774,0.000016720956,0.000033340206,0.0011563735,0.00009964031,0.000066380904,0.000010605095,0.000011223979,0.00013798321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880284,0.00007905991,0.00025252035,0.00027117488,0.00039177202,0.00020262787],"domain_scores_gemma":[0.99878013,0.0002871956,0.000097553886,0.00026497518,0.00048816198,0.00008199202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010214272,0.0001736269,0.0004762203,0.00025307268,0.000030296966,0.0000017537221,0.00005084798,0.00011229553,0.000050381124],"category_scores_gemma":[0.00024066017,0.00013181735,0.0001366983,0.0004725571,0.00028213626,0.000081635866,0.000028408009,0.00031751065,0.0000054796537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.18234302,0.008407377,0.534264,0.004863449,0.0018630264,0.000101473626,0.009859682,0.00014234454,0.16751632,0.0030395093,0.0011548683,0.08644487],"study_design_scores_gemma":[0.004096776,0.0052956957,0.91866124,0.002066662,0.00027075098,0.0000033823762,0.0008468397,0.000068889065,0.06848464,0.000106337415,0.00000892308,0.00008984359],"about_ca_topic_score_codex":0.00015401613,"about_ca_topic_score_gemma":0.000017027203,"teacher_disagreement_score":0.3843972,"about_ca_system_score_codex":0.000040550043,"about_ca_system_score_gemma":0.00013161763,"threshold_uncertainty_score":0.53753555},"labels":[],"label_agreement":null},{"id":"W4414079408","doi":"10.1109/jerm.2025.3600407","title":"A Low-Frequency Breast Cancer Detection Setup: An Experimental Study","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Resonator; Breast cancer; Magnetic field; Sensitivity (control systems); Spiral (railway); Antenna (radio); Conductivity","score_opus":0.014988759900805752,"score_gpt":0.3371248266889763,"score_spread":0.3221360667881706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414079408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819406,0.0154950395,0.00006285415,0.0014181436,0.0005434018,0.00029905463,0.0000034198295,0.000008197909,0.00022924964],"genre_scores_gemma":[0.9948115,0.0033288612,0.00019288543,0.0010575361,0.00053887494,0.0000074910254,0.000002448143,0.000011195424,0.000049204573],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986449,0.00013281727,0.0006000532,0.00023209762,0.00010825959,0.0002818777],"domain_scores_gemma":[0.999282,0.000076180666,0.00018409155,0.00014659642,0.00017495861,0.00013617956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053595053,0.00020073279,0.0006080022,0.0006974756,0.00006156066,0.000007037188,0.00009650951,0.00014848489,0.000044693967],"category_scores_gemma":[0.00004820757,0.00013722871,0.00004152587,0.00035108486,0.00044140444,0.000060276867,0.000018747342,0.00049705297,9.431266e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006993123,0.0005862899,0.035998207,0.000054628974,0.000120404904,0.00009379816,0.0013744948,1.6636369e-7,0.9442185,0.000036514433,0.00014287057,0.016674789],"study_design_scores_gemma":[0.03545036,0.13740821,0.39152527,0.0024163423,0.0015583251,0.011955248,0.01684089,0.00009735088,0.3976698,0.0038916979,0.00054533395,0.00064119225],"about_ca_topic_score_codex":0.00016615492,"about_ca_topic_score_gemma":0.0001099022,"teacher_disagreement_score":0.5465487,"about_ca_system_score_codex":0.000058283935,"about_ca_system_score_gemma":0.000114016744,"threshold_uncertainty_score":0.55960244},"labels":[],"label_agreement":null},{"id":"W4414226318","doi":"10.1249/01.mss.0001157820.03183.36","title":"Examination Of Facial Reflex Vasodilation In Young And Older Females Using Laser Speckle Contrast Imaging.","year":2025,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Vasodilation; Dermatome; Reflex; Perfusion; Forearm; Blood flow; Facial nerve; Laser Doppler velocimetry","score_opus":0.01656884448939469,"score_gpt":0.30830030688759896,"score_spread":0.29173146239820424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414226318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904951,0.0002904251,0.00014820426,0.00039855263,0.0005169061,0.0007605693,0.0000018115302,0.000026898942,0.007361547],"genre_scores_gemma":[0.99870837,0.00018723897,0.00062634255,0.00015348133,0.00008762471,0.000015110403,0.000010760342,0.000011752917,0.00019934429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974613,0.00003460574,0.0007483263,0.00048386268,0.00088347873,0.0003884216],"domain_scores_gemma":[0.99902093,0.00006416648,0.00020729256,0.00032984873,0.0002632941,0.000114476745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026382527,0.00020576874,0.0006083036,0.0016917975,0.000104364175,0.0000135973105,0.00015523621,0.00007393153,0.0001363595],"category_scores_gemma":[0.00039447474,0.00017042483,0.000032726297,0.0024877724,0.001779262,0.00034713314,0.00005470134,0.0002575518,4.2138865e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009070746,0.000094011695,0.9179856,0.00012042467,6.1924237e-7,0.000105379826,0.0034816563,0.000014394453,0.008665696,0.000023087372,0.000025702107,0.06939273],"study_design_scores_gemma":[0.0023860973,0.00005720695,0.9867868,0.00367082,0.00008253003,0.000036860292,0.003616404,0.0021717623,0.0007801894,0.0002663276,0.000024401563,0.00012064543],"about_ca_topic_score_codex":0.00065516686,"about_ca_topic_score_gemma":0.0000823471,"teacher_disagreement_score":0.069272086,"about_ca_system_score_codex":0.00017751033,"about_ca_system_score_gemma":0.00024317787,"threshold_uncertainty_score":0.6949723},"labels":[],"label_agreement":null},{"id":"W4414226370","doi":"10.1249/01.mss.0001157772.04685.c1","title":"Does Number And Location Of Sites Affect Mean Skin Temperature Equation Validity During Exercise?","year":2025,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Skin temperature; Mean squared error; Core temperature; Limits of agreement; Mean absolute error; Approximation error; Mean radiant temperature","score_opus":0.012031831086288918,"score_gpt":0.2872180184051841,"score_spread":0.27518618731889516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414226370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99532586,0.00035865896,0.000035142537,0.0009137019,0.00071046845,0.0011319105,0.000001790981,0.00007076061,0.0014517127],"genre_scores_gemma":[0.9977121,0.00091581786,0.00039509748,0.000154117,0.00015090856,0.00005676369,0.000023007,0.000018213635,0.00057402137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99679315,0.000046422076,0.0007500499,0.0006848757,0.0012617649,0.0004637421],"domain_scores_gemma":[0.9979901,0.00011908099,0.00025021596,0.0006912457,0.00074268755,0.00020670232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026375065,0.0003051326,0.00082881225,0.0010969812,0.00020199778,0.000018906878,0.00026414436,0.00015226925,0.00022438144],"category_scores_gemma":[0.00087731454,0.00018638124,0.00005123596,0.0050784224,0.0017560889,0.00036265224,0.000076418,0.00039096415,0.0000024761218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025686447,0.00013728155,0.94418776,0.00093489035,0.0000017268516,0.00006596743,0.004111019,0.000014962644,0.038046535,0.00003750053,0.0002058554,0.011999624],"study_design_scores_gemma":[0.0017179642,0.000089767644,0.96942514,0.008529658,0.00021266252,0.000023660456,0.0022641262,0.00016292109,0.016640157,0.00073631195,0.00002402467,0.00017362289],"about_ca_topic_score_codex":0.00023016856,"about_ca_topic_score_gemma":0.00002828567,"teacher_disagreement_score":0.025237352,"about_ca_system_score_codex":0.00014035964,"about_ca_system_score_gemma":0.00034036607,"threshold_uncertainty_score":0.76004064},"labels":[],"label_agreement":null},{"id":"W4414244549","doi":"10.1249/01.mss.0001156792.76372.1e","title":"The Effect Of Enhanced Cardiac Contractility On Vertebral Artery Blood Flow In Heat-stressed Individuals","year":2025,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Department of National Defence; Defence Research and Development Canada","funders":"","keywords":"Blood flow; Cerebral blood flow; Blood pressure; Internal carotid artery; Vertebral artery; Hemodynamics; Orthostatic vital signs; Contractility","score_opus":0.005024001270595006,"score_gpt":0.2700395526577018,"score_spread":0.2650155513871068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414244549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98907673,0.00066603767,0.000008812219,0.0013086898,0.0016702642,0.0019193076,0.0000075375715,0.00004737492,0.00529526],"genre_scores_gemma":[0.998678,0.0004689861,0.00005173706,0.00033648053,0.0001157874,0.00017478626,0.000013397168,0.000015962942,0.00014483609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99544877,0.00017245315,0.0010981788,0.0007299043,0.001734802,0.00081588235],"domain_scores_gemma":[0.9972448,0.0009729944,0.00018899786,0.0011882756,0.00018377208,0.00022120042],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007000922,0.00037966593,0.0014040918,0.001184619,0.00018860906,0.000016424021,0.00056949997,0.00014987127,0.00008577244],"category_scores_gemma":[0.001986339,0.00022486836,0.00015353467,0.0033513128,0.0027236762,0.00017498444,0.00007953445,0.0007787252,0.0000030237418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000940341,0.0002368712,0.9055499,0.0001709779,0.000007813552,0.00023998029,0.0013818451,0.000032852302,0.01171047,0.000014238733,0.00027965402,0.07943507],"study_design_scores_gemma":[0.0053208354,0.001084288,0.968949,0.004873737,0.00027190076,0.000010048268,0.00069895264,0.00019500277,0.018128041,0.00017982963,0.0001345438,0.00015381869],"about_ca_topic_score_codex":0.00023546295,"about_ca_topic_score_gemma":0.000024496125,"teacher_disagreement_score":0.079281256,"about_ca_system_score_codex":0.00014215498,"about_ca_system_score_gemma":0.00042184058,"threshold_uncertainty_score":0.99999034},"labels":[],"label_agreement":null},{"id":"W4414249535","doi":"10.1177/27683605251377400","title":"Comparative Effectiveness of Ear and Body Acupressure for Postoperative Pain in Elderly Women Following Knee Arthroplasty: A Randomized Trial","year":2025,"lang":"en","type":"article","venue":"Journal of Integrative and Complementary Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Acupressure; Randomized controlled trial; Visual analogue scale; Arthroplasty; Clinical trial; Analgesic; Osteoarthritis","score_opus":0.014413926099771417,"score_gpt":0.3307790912789577,"score_spread":0.3163651651791863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414249535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835757,0.004108917,0.0064748707,0.001642585,0.00043198193,0.003292481,0.000022860633,0.000005744704,0.00044485275],"genre_scores_gemma":[0.99764806,0.00021436947,0.0010968982,0.00064370834,0.00013980137,0.00016260079,0.000028878101,0.000011482778,0.00005417832],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9965022,0.0013887403,0.0012446253,0.00023589536,0.00036554076,0.00026298276],"domain_scores_gemma":[0.9935259,0.0052067046,0.0004861821,0.00012873874,0.0005163633,0.00013607656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068234927,0.00032653092,0.0029346049,0.0007694616,0.000083426035,0.000008496117,0.00007981075,0.00007570094,0.000078444384],"category_scores_gemma":[0.001289932,0.000184046,0.00023949954,0.0003974697,0.0006273199,0.00013809248,0.000035450335,0.00046753502,5.5691153e-8],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9438202,0.00041749803,0.0051305904,0.0005093282,0.0042853183,0.000088064735,0.020610856,0.0000024867481,0.015625317,0.00200615,0.0011774135,0.0063268114],"study_design_scores_gemma":[0.8913803,0.035279136,0.0050624604,0.007885772,0.001037086,0.0000473407,0.05164739,0.0002753389,0.002221146,0.0041273274,0.0008727949,0.0001638804],"about_ca_topic_score_codex":0.000101962294,"about_ca_topic_score_gemma":0.00003065723,"teacher_disagreement_score":0.05243984,"about_ca_system_score_codex":0.000104669976,"about_ca_system_score_gemma":0.00020019028,"threshold_uncertainty_score":0.75051785},"labels":[],"label_agreement":null},{"id":"W4414402678","doi":"10.18325/jkmr.2025.35.1.77","title":"Efficacy and Safety Study of Ultrasound Alone or in Combination with Transcutaneous Electrical Nerve Stimulation for Knee Osteoarthritis: A Retrospective Chart Review","year":2025,"lang":"en","type":"article","venue":"Journal of Korean Medicine Rehabilitation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transcutaneous electrical nerve stimulation; Ultrasound; Retrospective cohort study; Nerve stimulation; Chart; Nerve stimulator","score_opus":0.007657672868447097,"score_gpt":0.2956604945341635,"score_spread":0.2880028216657164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414402678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98351973,0.0058072796,0.00097768,0.0050733103,0.0001031142,0.0043977755,0.000003913025,0.000013260385,0.00010395829],"genre_scores_gemma":[0.9967187,0.0006362872,0.0021977078,0.00023077226,0.00010517474,0.000045259923,0.000022229224,0.000019433686,0.000024442577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971218,0.0002878754,0.0015005629,0.00023776105,0.0006768106,0.00017518943],"domain_scores_gemma":[0.9947765,0.0030342718,0.0006410053,0.00026341816,0.0011865988,0.000098240074],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002290854,0.00019811997,0.0011674204,0.00085295946,0.000051252522,0.0000038559456,0.00008437938,0.000087108245,0.000020087246],"category_scores_gemma":[0.009100581,0.00012774227,0.00008535269,0.0013096088,0.00023257764,0.00013027847,0.0000062837694,0.00037161098,7.407452e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.14768587,0.010869741,0.4668424,0.013589379,0.0016503499,0.00041772454,0.04007918,0.00016944396,0.017853599,0.0014708287,0.0025149002,0.29685658],"study_design_scores_gemma":[0.061912265,0.18571596,0.7223464,0.022545656,0.0015127771,0.0006250025,0.0038588543,0.00011103362,0.00006484051,0.0011015468,0.00007421959,0.00013141372],"about_ca_topic_score_codex":0.000025852401,"about_ca_topic_score_gemma":0.000034330245,"teacher_disagreement_score":0.29672515,"about_ca_system_score_codex":0.00023466158,"about_ca_system_score_gemma":0.00018477652,"threshold_uncertainty_score":0.9992462},"labels":[],"label_agreement":null},{"id":"W4414817389","doi":"10.1080/17581869.2025.2570117","title":"Immediate effects of two modes of shortwave diathermy in chronic low back pain: randomized controlled clinical trial","year":2025,"lang":"en","type":"article","venue":"Pain Management","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diathermy; Clinical trial; Shortwave; Randomized controlled trial; Shortwave radiation","score_opus":0.01073701424389656,"score_gpt":0.32216225573399837,"score_spread":0.3114252414901018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414817389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80593634,0.010273975,0.07908213,0.0023734227,0.0025293326,0.057023354,0.0000075610596,0.00014722718,0.042626668],"genre_scores_gemma":[0.9943882,0.0013734065,0.0010356576,0.0011015909,0.00026945502,0.001011318,0.00001952544,0.000027225571,0.0007735808],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99125266,0.005138546,0.002270726,0.0004082156,0.00053332007,0.0003965325],"domain_scores_gemma":[0.9887442,0.009880649,0.0005247838,0.00065734814,0.00010311276,0.000089921996],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.032082092,0.00029755535,0.0032776434,0.00068396487,0.000019191568,0.000005953003,0.00023693976,0.00011786874,0.00012984566],"category_scores_gemma":[0.004824237,0.00021536392,0.0009908222,0.0005614136,0.0004062346,0.00002770236,0.000097654076,0.00030764306,0.000005766567],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.92005736,0.0014741715,0.0030645838,0.007774379,0.004538412,0.0001582063,0.00021637847,0.0002426167,0.00096469006,0.0047258455,0.0012508752,0.0555325],"study_design_scores_gemma":[0.9630617,0.001114145,0.00093728147,0.003099546,0.0011590235,1.7340845e-7,0.0001079965,0.027659966,0.00052435807,0.002080025,0.0001090229,0.00014678334],"about_ca_topic_score_codex":0.000040698487,"about_ca_topic_score_gemma":0.000008898048,"teacher_disagreement_score":0.18845192,"about_ca_system_score_codex":0.00013209021,"about_ca_system_score_gemma":0.00012251703,"threshold_uncertainty_score":0.9966752},"labels":[],"label_agreement":null},{"id":"W4414856200","doi":"10.1038/s41467-025-64125-3","title":"Single-pixel infrared imaging thermometry maps human inner canthi temperature","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"Pixel; Canthus; Infrared; Image resolution; Human body temperature; Lookup table","score_opus":0.013672820864587942,"score_gpt":0.31657141337569245,"score_spread":0.3028985925111045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414856200","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25299227,0.08685672,0.00010320759,0.12210854,0.0017005758,0.0021424575,0.00018043291,0.001153444,0.53276235],"genre_scores_gemma":[0.9783173,0.00028307101,0.0045647486,0.012302383,0.00016587478,0.000083401195,0.00067007274,0.000046322824,0.003566813],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983208,0.00019341674,0.00046300475,0.00032218706,0.0003485053,0.00035209674],"domain_scores_gemma":[0.9952379,0.00029624737,0.00013629926,0.003651183,0.0005480713,0.0001303102],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004069198,0.00028571358,0.00041026805,0.00088328955,0.000629645,0.00005760492,0.0011528662,0.0005208907,0.000091211026],"category_scores_gemma":[0.00057585846,0.00024428774,0.00018412543,0.002068102,0.00050754717,0.00011344499,0.0004014498,0.0032341057,0.00001395737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009087421,0.0009679957,0.06785902,0.0001663878,0.00055990886,0.000031783176,0.0013085944,7.6341735e-7,0.6599298,0.059182923,0.19872984,0.011172086],"study_design_scores_gemma":[0.0034358914,0.00014168382,0.15141474,0.0015679294,0.0006490768,0.00012224945,0.0017423407,0.00007095815,0.012979786,0.0070952103,0.8201856,0.0005945584],"about_ca_topic_score_codex":0.000029598788,"about_ca_topic_score_gemma":0.00006224524,"teacher_disagreement_score":0.72532505,"about_ca_system_score_codex":0.00020543709,"about_ca_system_score_gemma":0.00019446462,"threshold_uncertainty_score":0.99906546},"labels":[],"label_agreement":null},{"id":"W4414919761","doi":"10.1016/j.media.2025.103832","title":"Fusion and pure feature extraction framework for intraoperative hyperspectral of thyroid lesion","year":2025,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Xi'an Institute of Optics and Precision Mechanics; Canadian Anesthesiologists' Society","keywords":"Hyperspectral imaging; Pattern recognition (psychology); Thyroid cancer; Thyroid nodules; Robustness (evolution); Fusion; Cascade; Thyroid","score_opus":0.008032420561623182,"score_gpt":0.3375897405711067,"score_spread":0.3295573200094835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414919761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5679907,0.003487658,0.3987579,0.027169388,0.00019256657,0.0006144006,0.000022492286,0.00006849234,0.0016963494],"genre_scores_gemma":[0.94672424,0.00095473084,0.04940527,0.0017938887,0.00029979326,0.00003688227,0.00012474881,0.00001589197,0.0006445618],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99850595,0.00007290312,0.00032947882,0.00033472505,0.0005401584,0.0002168016],"domain_scores_gemma":[0.998709,0.00039398763,0.00010460673,0.0003075914,0.00030257687,0.00018220625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005435979,0.0001691425,0.0006449291,0.00062827347,0.00010411452,0.00001403626,0.00010145654,0.0003646121,0.0005073108],"category_scores_gemma":[0.0019973898,0.00012151954,0.00032013864,0.001601937,0.00032714658,0.000076841614,0.000037439568,0.000573527,0.0000012333275],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036752902,0.0016488492,0.056142718,0.0015102631,0.013248319,0.00042014272,0.0046179774,0.000009971902,0.6436677,0.022985794,0.02729498,0.224778],"study_design_scores_gemma":[0.02269665,0.005685295,0.40039772,0.00674818,0.0749986,0.0002801162,0.020702891,0.05462702,0.35540187,0.04786749,0.008827242,0.001766915],"about_ca_topic_score_codex":0.000024374685,"about_ca_topic_score_gemma":0.000012608415,"teacher_disagreement_score":0.3787335,"about_ca_system_score_codex":0.000041838048,"about_ca_system_score_gemma":0.00010222588,"threshold_uncertainty_score":0.5554697},"labels":[],"label_agreement":null},{"id":"W4415367591","doi":"10.1109/ius62464.2025.11201793","title":"Advanced Transformer-Based Framework for Breast Cancer Detection in Ultrasound Imaging","year":2025,"lang":"","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ultrasound; Discriminative model; Breast ultrasound; Breast imaging; Breast cancer; Residual; Pattern recognition (psychology); Feature (linguistics); Modality (human–computer interaction)","score_opus":0.0057510990843484796,"score_gpt":0.3067142198611395,"score_spread":0.30096312077679105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415367591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10983159,0.007894701,0.8506815,0.014378033,0.005382528,0.0048892545,0.00033295117,0.0002300216,0.0063794237],"genre_scores_gemma":[0.98234636,0.00087017624,0.008018621,0.006788796,0.0005405775,0.0008775098,0.000022846172,0.00008268534,0.00045243316],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99638075,0.0000973013,0.0010941055,0.00084521645,0.0004429937,0.0011396145],"domain_scores_gemma":[0.9970395,0.0015412524,0.00017990077,0.00061615807,0.00040144398,0.00022171822],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00073148607,0.0005999992,0.0009092899,0.0012725348,0.00025468058,0.00004311064,0.00025733735,0.0004151647,0.002158192],"category_scores_gemma":[0.00048249686,0.00056256884,0.00042377724,0.002513336,0.00038141254,0.00023008793,0.000008360728,0.0011100264,0.0000064856463],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006349858,0.0005598656,0.042870577,0.00212753,0.0003409226,0.000021005708,0.0008348207,0.00045338162,0.107833415,0.0028626118,0.0001585067,0.8355875],"study_design_scores_gemma":[0.056200553,0.0013346088,0.39243025,0.03699838,0.0033270398,0.000106867235,0.011613168,0.024826959,0.42578557,0.038168136,0.0069154985,0.0022929565],"about_ca_topic_score_codex":0.00043947194,"about_ca_topic_score_gemma":0.00045063772,"teacher_disagreement_score":0.8725148,"about_ca_system_score_codex":0.0007087526,"about_ca_system_score_gemma":0.0007430638,"threshold_uncertainty_score":0.9996826},"labels":[],"label_agreement":null},{"id":"W4415453266","doi":"10.64483/jmph-158","title":"The Progress in Imaging Technologies and Implications for Nursing Practice: A Systematic Review","year":2025,"lang":"","type":"review","venue":"Saudi Journal of Medicine and Public Health","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Health and Long Term Care","funders":"","keywords":"Modalities; Accountability; Curriculum; Clinical Practice; Emerging technologies; Best practice; Medical imaging; Paradigm shift; Nursing practice","score_opus":0.05387874017023459,"score_gpt":0.4673124164342626,"score_spread":0.413433676264028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415453266","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.499298e-7,0.5631436,0.0007238629,0.42936328,0.00047952696,0.006132351,0.00001357759,0.000020412364,0.00012262848],"genre_scores_gemma":[0.00023099445,0.9881577,0.00090416806,0.009406311,0.0005940841,0.000605178,0.000022884546,0.000052723808,0.00002596008],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.98851407,0.0021803887,0.0065421374,0.0005773559,0.0009111542,0.0012749089],"domain_scores_gemma":[0.97623736,0.011671179,0.008123449,0.0010316434,0.0022901301,0.0006462133],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.034458555,0.00077403215,0.0069820527,0.0021357758,0.00080917816,0.00010530652,0.000782692,0.0003198065,0.0000051147576],"category_scores_gemma":[0.055689767,0.00040587486,0.00039228253,0.0028509398,0.0026348976,0.0003788687,0.00011078222,0.0025426003,3.0736183e-7],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002349987,0.000092696835,0.00010685829,0.49018005,0.0003249396,0.000016195336,0.00063331955,1.9977549e-9,4.6864482e-8,0.002218405,0.0070483517,0.49935564],"study_design_scores_gemma":[0.0022185326,0.0012329962,0.00008694498,0.79404014,0.0052169845,0.006382261,0.017537089,0.0000053774024,1.2624703e-8,0.001695279,0.17138352,0.00020088261],"about_ca_topic_score_codex":0.000010817815,"about_ca_topic_score_gemma":0.000003311722,"teacher_disagreement_score":0.49915475,"about_ca_system_score_codex":0.00067127653,"about_ca_system_score_gemma":0.0064085843,"threshold_uncertainty_score":0.9998393},"labels":[],"label_agreement":null},{"id":"W4415476490","doi":"10.1037/ppm0000634","title":"The “ideal” body according to artificial intelligence: Body image implications for athletes and nonathletes.","year":2025,"lang":"en","type":"article","venue":"Psychology of Popular Media","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Research Chairs","keywords":"Athletes; Image (mathematics); Perception","score_opus":0.030625756589927482,"score_gpt":0.3824999783341105,"score_spread":0.351874221744183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415476490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7076108,0.011489688,0.09346494,0.17265634,0.0040974813,0.0045153056,0.00016501876,0.00021189378,0.005788535],"genre_scores_gemma":[0.9816945,0.00048561624,0.0126400655,0.004222644,0.00041188914,0.00036326522,0.000062871026,0.000032936667,0.00008620765],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998403,0.00005647898,0.00060209725,0.00039481372,0.00014695266,0.00039665113],"domain_scores_gemma":[0.998253,0.000542007,0.00013364681,0.00065416656,0.00027004984,0.0001471688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085827557,0.00018409356,0.0004114051,0.00036557353,0.00022350826,0.00001448584,0.00029074648,0.0001624639,0.000015714017],"category_scores_gemma":[0.0020056327,0.00013916084,0.00013253017,0.00053742353,0.0005270343,0.000036121193,0.00006516108,0.00026568628,0.000007519288],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090221484,0.00030110407,0.05222299,0.0001964111,0.00043495552,0.0000105502,0.0013163778,5.022085e-7,0.38746756,0.15158133,0.017997587,0.3875684],"study_design_scores_gemma":[0.0021607636,0.0016153482,0.5343634,0.00076153653,0.0010359216,0.00011244428,0.0044817016,0.00016846987,0.022635547,0.38405445,0.048030738,0.0005797041],"about_ca_topic_score_codex":0.000011488661,"about_ca_topic_score_gemma":0.000009934503,"teacher_disagreement_score":0.4821404,"about_ca_system_score_codex":0.000022814904,"about_ca_system_score_gemma":0.000052302377,"threshold_uncertainty_score":0.56748146},"labels":[],"label_agreement":null},{"id":"W4415530930","doi":"10.1055/s-0045-1812308","title":"Unilateral Brown Fat FDG Uptake after Childhood Sympathectomy Mimicking Malignancy Resolved by Hybrid PET/MR Image Fusion","year":2025,"lang":"en","type":"article","venue":"World Journal of Nuclear Medicine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Brown adipose tissue; Malignancy; Positron emission tomography; Magnetic resonance imaging; Sympathetic Denervation; Sympathectomy; Adipose tissue; Denervation","score_opus":0.005139391927400837,"score_gpt":0.23827997194059483,"score_spread":0.233140580013194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415530930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93736446,0.009348906,0.00015522203,0.03162094,0.0020932963,0.0006547833,0.000017991417,0.00013521845,0.018609205],"genre_scores_gemma":[0.97973114,0.0010515962,0.0020279118,0.012841379,0.0016155989,0.00000578187,0.00002695181,0.00012317,0.0025764643],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958466,0.00018343526,0.0016694155,0.00044189504,0.0011475872,0.0007110155],"domain_scores_gemma":[0.99736416,0.00016006237,0.0007060408,0.00070453796,0.00057209417,0.00049312494],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011046916,0.00053804147,0.001364492,0.0016780841,0.00019952185,0.000037470054,0.00048415543,0.00009467505,0.0031278387],"category_scores_gemma":[0.00037489767,0.00038710696,0.0004345548,0.0012044364,0.00052681967,0.0002595471,0.00013228458,0.0015003629,0.000035185716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004817717,0.0011272567,0.010631383,0.00064805197,0.0013556409,0.012136103,0.004606948,0.000003001114,0.4099446,0.00046768368,0.52852976,0.02573187],"study_design_scores_gemma":[0.03918901,0.0047585755,0.20197327,0.04100444,0.0036791153,0.009032056,0.002868831,0.00017535983,0.00712225,0.0018658512,0.6871669,0.0011642809],"about_ca_topic_score_codex":0.00002363959,"about_ca_topic_score_gemma":0.0000048276383,"teacher_disagreement_score":0.40282235,"about_ca_system_score_codex":0.00021937996,"about_ca_system_score_gemma":0.00013450913,"threshold_uncertainty_score":0.9998581},"labels":[],"label_agreement":null},{"id":"W4415571012","doi":"10.1302/1358-992x.2025.11.011","title":"SKIN TEMPERATURE FOLLOWING TOTAL KNEE ARTHROPLASTY: A LONGITUDINAL OBSERVATIONAL STUDY","year":2025,"lang":"en","type":"article","venue":"Orthopaedic Proceedings","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Bible College","funders":"","keywords":"Observational study; Knee arthritis; Prospective cohort study; Orthopedic surgery; Stage (stratigraphy); Longitudinal study; Knee pain; Knee Joint","score_opus":0.021260140137865265,"score_gpt":0.29101111066989355,"score_spread":0.2697509705320283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415571012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804892,0.0005593426,0.000032818014,0.0017537915,0.0011908731,0.0014221198,0.000006197809,0.0003258723,0.01421978],"genre_scores_gemma":[0.99179614,0.000010915053,0.0008396236,0.0013777239,0.0007299501,0.00022719539,0.00003911459,0.000047826703,0.004931494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970669,0.00002137101,0.0006166346,0.0007128788,0.0010107819,0.00057143037],"domain_scores_gemma":[0.9988134,0.00009549024,0.0001393679,0.0002701699,0.00045605353,0.00022553814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087232026,0.00041735,0.0006481591,0.00062199455,0.00039145417,0.00008085789,0.00012090591,0.00022832958,0.00020118426],"category_scores_gemma":[0.0007304307,0.00035949258,0.00040777965,0.0018942507,0.0001459888,0.00030959988,0.0001278435,0.0009952573,0.000027011281],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035810447,0.0006243876,0.97857374,0.00018775465,0.0006856453,0.00023491007,0.0010817647,8.3672757e-7,0.0040000714,0.0015290612,0.009754569,0.0029691628],"study_design_scores_gemma":[0.0062623327,0.0011434507,0.98271954,0.000812938,0.0006891629,0.0002120144,0.0032349906,0.00005392158,0.0002643588,0.00024586436,0.0040422464,0.00031916832],"about_ca_topic_score_codex":0.000017292654,"about_ca_topic_score_gemma":0.000003799005,"teacher_disagreement_score":0.011306953,"about_ca_system_score_codex":0.00012761843,"about_ca_system_score_gemma":0.0003665958,"threshold_uncertainty_score":0.9998857},"labels":[],"label_agreement":null},{"id":"W4415660672","doi":"10.1167/tvst.14.10.37","title":"Novel Ocular Thermography Metrics for Dry Eye Screening","year":2025,"lang":"en","type":"article","venue":"Translational Vision Science & Technology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"CooperVision","keywords":"Thermography; Glaucoma; Dryness; Eye disease; Diagnostic test","score_opus":0.01984781491562398,"score_gpt":0.3561049169283488,"score_spread":0.3362571020127248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415660672","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086586386,0.0010753678,0.89390093,0.01372599,0.00026395096,0.0008574199,0.000026177091,0.00031574018,0.0032480047],"genre_scores_gemma":[0.85186195,0.000018718876,0.14696646,0.0008970265,0.00003901339,0.00005806623,0.000015986241,0.000013714253,0.00012906411],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978158,0.0000100032,0.00041148975,0.00055580476,0.00076157,0.00044534987],"domain_scores_gemma":[0.9985142,0.00019346461,0.00008988482,0.00048522768,0.00062777544,0.00008948713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011978983,0.0001819757,0.00032437436,0.006397286,0.00042615505,0.00002380843,0.0005027439,0.0002471376,0.000052156567],"category_scores_gemma":[0.00043832924,0.00015277746,0.00018953407,0.01259987,0.0017795532,0.00022950454,0.00004519953,0.00032385442,0.0000035583605],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027679862,0.00028148625,0.1068732,0.00008755139,0.000115632705,0.000006096513,0.00014399536,0.00011444362,0.51998484,0.15415931,0.000088666966,0.21786797],"study_design_scores_gemma":[0.016254608,0.0020602078,0.5893836,0.0011083919,0.0006348057,0.00004222267,0.0010105647,0.039790366,0.11959633,0.12976015,0.09937019,0.000988578],"about_ca_topic_score_codex":0.000003958477,"about_ca_topic_score_gemma":8.146165e-7,"teacher_disagreement_score":0.76527554,"about_ca_system_score_codex":0.00003340279,"about_ca_system_score_gemma":0.00025667163,"threshold_uncertainty_score":0.6556838},"labels":[],"label_agreement":null},{"id":"W4415665377","doi":"10.2196/81289","title":"AI-Powered Thermography for Diabetic Foot Risk Stratification: Multicenter Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Memorial University of Newfoundland","funders":"","keywords":"Thermography; Diabetic foot; Diabetes mellitus; Complication; Risk assessment; Foot (prosody)","score_opus":0.04521864009919288,"score_gpt":0.44950347765982734,"score_spread":0.4042848375606345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415665377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98165596,0.00023558555,0.0016303253,0.0008710302,0.00048218755,0.0062981793,0.00013737366,0.000112573085,0.008576774],"genre_scores_gemma":[0.9958891,0.000025888388,0.00022564245,0.0002487491,0.00019893584,0.0026360832,0.000109396446,0.000030347088,0.00063585787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996458,0.00046946754,0.0007173644,0.0004775768,0.0011700811,0.00070754066],"domain_scores_gemma":[0.9961619,0.0008847922,0.00014058685,0.0007334244,0.0018984829,0.00018086508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029976289,0.00024321504,0.0003850069,0.0012980298,0.00074416684,0.00014525202,0.0003548201,0.00017425865,0.00029238628],"category_scores_gemma":[0.00041153154,0.0001901796,0.0002770564,0.0017283409,0.0006717493,0.00026378888,0.0001023628,0.0011769165,0.00004925627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019490098,0.0023582636,0.9754877,0.00038288438,0.00079251645,0.000006158577,0.0062745055,0.000002713349,0.0015087068,0.0020198498,0.0047991024,0.0044185854],"study_design_scores_gemma":[0.0069233654,0.0024014674,0.9799259,0.00013602336,0.000058018195,0.0000026116866,0.002933425,0.0006003745,0.0013499254,0.0038543202,0.0016667785,0.00014780591],"about_ca_topic_score_codex":0.000030521256,"about_ca_topic_score_gemma":0.000009392083,"teacher_disagreement_score":0.014233128,"about_ca_system_score_codex":0.00017396822,"about_ca_system_score_gemma":0.00022571087,"threshold_uncertainty_score":0.7755299},"labels":[],"label_agreement":null},{"id":"W4415741442","doi":"10.1115/1.4070275","title":"A Review of Methods for Quantifying Tissue Thermal Conductivity","year":2025,"lang":"en","type":"review","venue":"Journal of Medical Devices","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Thermal conductivity; Thermal; Thermal conduction; Thermal effusivity; Thermal contact conductance; Heat transfer; Thermal conductivity measurement; In vivo","score_opus":0.19240372692529836,"score_gpt":0.5701742506739189,"score_spread":0.3777705237486205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415741442","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000028654545,0.9897891,0.0048248265,0.0017978564,0.0015611717,0.0014194865,0.000021893371,0.000014350905,0.00056841027],"genre_scores_gemma":[0.0000011942577,0.9699313,0.026560176,0.0020932558,0.0012367851,0.000043136264,0.00002486183,0.00004534454,0.000063961255],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.993857,0.0011403307,0.0030857027,0.00028326822,0.0012920223,0.00034167737],"domain_scores_gemma":[0.9896481,0.0050906604,0.003381309,0.00047065222,0.00095979345,0.0004495111],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.013489133,0.00046555622,0.0066224537,0.0007111797,0.00004692557,0.000009704563,0.00086063147,0.0007404555,0.0007536294],"category_scores_gemma":[0.014087189,0.00027351928,0.0018959128,0.00088943954,0.00029494526,0.00009550404,0.000111860005,0.0017149928,0.0000023652478],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024082701,0.000088327804,0.0000024829558,0.42089212,0.0007685674,0.000042230593,0.000017230886,4.9101736e-9,0.0000070174924,0.00007692096,0.003370702,0.5747103],"study_design_scores_gemma":[0.00050726486,0.0003413896,0.0000028640327,0.45734355,0.005733304,0.0006296495,0.000016354226,0.000001393458,0.000017469887,0.000019775274,0.5352852,0.000101793026],"about_ca_topic_score_codex":0.0000064878104,"about_ca_topic_score_gemma":6.983387e-7,"teacher_disagreement_score":0.5746085,"about_ca_system_score_codex":0.00007768425,"about_ca_system_score_gemma":0.0029871215,"threshold_uncertainty_score":0.9999717},"labels":[],"label_agreement":null},{"id":"W4416066425","doi":"10.1080/17686733.2025.2585417","title":"Optimising neural networks for perforator detection in DIEP flap breast reconstruction using dynamic infrared thermography","year":2025,"lang":"en","type":"article","venue":"Quantitative InfraRed Thermography Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"DIEP flap; Thermography; Artificial neural network; Signal reconstruction; Breast reconstruction; Convolutional neural network","score_opus":0.016480699931123773,"score_gpt":0.30377933145677993,"score_spread":0.28729863152565616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416066425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84657747,0.003987095,0.14292558,0.00024551482,0.0023661621,0.0018103744,0.00007936084,0.00019266235,0.001815771],"genre_scores_gemma":[0.97657317,0.00040078314,0.021789532,0.0005271579,0.00035268598,0.00011865728,0.000049335176,0.00013634663,0.000052320323],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99511784,0.0005640266,0.0016775872,0.0007962525,0.0006528253,0.0011914558],"domain_scores_gemma":[0.996259,0.0005752108,0.0009116769,0.00061001495,0.0012739252,0.00037018573],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017719216,0.0007922642,0.0011946207,0.0053923144,0.0009023012,0.00025187692,0.0004276,0.0005615713,0.00011740762],"category_scores_gemma":[0.00032110108,0.0007198815,0.0010305673,0.005404615,0.000787015,0.00086856436,0.00006806837,0.0019459563,0.0000011305585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.022426259,0.0013157137,0.17830591,0.00095141045,0.0059300084,0.0003942631,0.0052298983,0.01766892,0.18191913,0.0016475474,0.00026429893,0.58394665],"study_design_scores_gemma":[0.016609333,0.003109901,0.32711393,0.0045722034,0.0015152827,0.0044790744,0.009339502,0.6085587,0.002035908,0.020921575,0.00018425239,0.0015603438],"about_ca_topic_score_codex":0.000028586725,"about_ca_topic_score_gemma":0.00002123479,"teacher_disagreement_score":0.5908898,"about_ca_system_score_codex":0.00040078425,"about_ca_system_score_gemma":0.00029309018,"threshold_uncertainty_score":0.99952525},"labels":[],"label_agreement":null},{"id":"W4416183344","doi":"10.1109/mipr67560.2025.00089","title":"Emissivity-Guided Thermal Image Encoding: A Robust Multitask Learning Approach for Object Detection","year":2025,"lang":"","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Representation (politics); Thermal; Generalization; Encoder; Image (mathematics); Object detection; Object (grammar); Feature (linguistics)","score_opus":0.024061610206150687,"score_gpt":0.2920107100764969,"score_spread":0.26794909987034626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416183344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.117582604,0.0018408134,0.6293655,0.0007532127,0.0021213258,0.005209905,0.000018960623,0.0006781241,0.24242952],"genre_scores_gemma":[0.933501,0.00017799927,0.042005423,0.00089344976,0.0013399171,0.00051277474,0.000101314654,0.00014044663,0.021327656],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9945186,0.00050728774,0.0014032772,0.0013633989,0.00072644855,0.0014810083],"domain_scores_gemma":[0.9963861,0.0008828469,0.00046797912,0.0009737651,0.00085871096,0.00043058922],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029328854,0.0009065387,0.001340054,0.0012810001,0.0010491977,0.00015239023,0.00047885138,0.00082820473,0.0008690445],"category_scores_gemma":[0.0038572347,0.00080416986,0.0008519578,0.0018404038,0.00058331207,0.00033305408,0.00019236836,0.0020619417,0.000028470693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022311073,0.0011343126,0.00389119,0.0038275898,0.0019938555,0.000053959917,0.004078996,0.0046032057,0.9148305,0.00045258814,0.0034254775,0.059477184],"study_design_scores_gemma":[0.025461525,0.0029817494,0.0058355704,0.0022096725,0.004437028,0.0001454014,0.0126431035,0.4804502,0.4579527,0.00030242876,0.0059015113,0.001679089],"about_ca_topic_score_codex":0.00017946977,"about_ca_topic_score_gemma":0.0000064431197,"teacher_disagreement_score":0.81591845,"about_ca_system_score_codex":0.00043558885,"about_ca_system_score_gemma":0.0005100394,"threshold_uncertainty_score":0.9994409},"labels":[],"label_agreement":null},{"id":"W4416259611","doi":"10.1007/978-3-032-10990-3_3","title":"A Shapley Value-Based Gated Feature Fusion of Multi-branch Deep Learning Framework for Breast Cancer Screening of Thermal Images","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Discriminative model; Deep learning; Pattern recognition (psychology); Feature learning; Feature (linguistics); Breast cancer screening; Breast cancer; Fusion","score_opus":0.013123208068917654,"score_gpt":0.28355040410411925,"score_spread":0.2704271960352016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416259611","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022291539,0.0024907454,0.9921081,0.0011354819,0.00062763446,0.001042551,0.00010510957,0.000071996335,0.00018920487],"genre_scores_gemma":[0.4710756,0.0000808144,0.52640295,0.001585587,0.0005548695,0.000021469757,0.000039537874,0.00006973771,0.00016942731],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99716496,0.000049881164,0.00058115955,0.00082561164,0.00086863444,0.0005097547],"domain_scores_gemma":[0.99677294,0.0010418853,0.0005684845,0.00064176676,0.0008525642,0.0001223425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007440272,0.00050462806,0.0010472036,0.0011035289,0.00015844707,0.000025159112,0.00065652776,0.00065257936,0.00010299672],"category_scores_gemma":[0.00035091265,0.0004087008,0.00032228144,0.00081087014,0.0010498557,0.00009073241,0.00016052833,0.0015627173,3.4204186e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007632968,0.00008982388,0.0032349292,0.0014089545,0.00014906877,0.00002840571,0.00090646284,0.091376774,0.046587717,0.00039996486,0.000019777191,0.8550348],"study_design_scores_gemma":[0.0060334187,0.0012276467,0.02576406,0.043382008,0.0005852532,0.00006263281,0.000004875372,0.8489426,0.066649355,0.006070684,0.00021948405,0.001058005],"about_ca_topic_score_codex":0.000071890034,"about_ca_topic_score_gemma":0.0000131493025,"teacher_disagreement_score":0.85397685,"about_ca_system_score_codex":0.00011322518,"about_ca_system_score_gemma":0.0005340361,"threshold_uncertainty_score":0.9998365},"labels":[],"label_agreement":null},{"id":"W4416344271","doi":"10.1007/s00421-025-06051-2","title":"Considerations for accurate mean weighted skin temperature","year":2025,"lang":"en","type":"article","venue":"European Journal of Applied Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Skin temperature; Human physiology; Sports medicine; Lower limb; Mean radiant temperature","score_opus":0.013048052852101569,"score_gpt":0.2661359507373679,"score_spread":0.2530878978852663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416344271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9319129,0.00039713798,0.0009272712,0.0059740255,0.0010337414,0.000737323,0.000019450123,0.000053658612,0.058944505],"genre_scores_gemma":[0.9826054,0.00004748199,0.0076365317,0.008700987,0.0007850025,0.0000061813835,0.00001937413,0.000029549828,0.00016950002],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987422,0.00014278172,0.00059911876,0.00017655372,0.000118423966,0.00022090098],"domain_scores_gemma":[0.9986236,0.00031432457,0.0003077383,0.00026065958,0.00039268204,0.000101007005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005603401,0.00017230336,0.00048910896,0.00030548367,0.00012614756,0.000013189363,0.00013712037,0.00005831892,0.00014843949],"category_scores_gemma":[0.000118316566,0.00012598347,0.00019306743,0.00024441286,0.00016831617,0.000032775653,0.000029695377,0.0004816378,0.000013931422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033087458,0.00015716755,0.000008159686,0.00009689517,0.00063434243,0.00009646484,0.0009648046,0.000038624,0.8856418,0.028454462,0.07800596,0.0025925734],"study_design_scores_gemma":[0.04563041,0.0047902535,0.08270924,0.00143199,0.0024593442,0.0010774495,0.0036430093,0.0002312391,0.44405857,0.11852368,0.2944038,0.0010410429],"about_ca_topic_score_codex":2.3730207e-7,"about_ca_topic_score_gemma":1.8503627e-7,"teacher_disagreement_score":0.44158325,"about_ca_system_score_codex":0.000024805979,"about_ca_system_score_gemma":0.0001535897,"threshold_uncertainty_score":0.51374567},"labels":[],"label_agreement":null},{"id":"W4416794313","doi":"10.1080/17686733.2025.2594955","title":"The use of Prototypical and Siamese Networks in the determination of lower extremity injuries in professional football players with thermographic data","year":2025,"lang":"en","type":"article","venue":"Quantitative InfraRed Thermography Journal","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Football; Football players; Athletes; Match play; Poison control","score_opus":0.0461961692404773,"score_gpt":0.33305449720313024,"score_spread":0.2868583279626529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416794313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99073625,0.002993008,0.0028561195,0.0008472536,0.00020344151,0.0019260134,0.00003832034,0.000012945819,0.0003866802],"genre_scores_gemma":[0.9952156,0.0007759207,0.0035205022,0.00029307927,0.00003250438,0.000092155395,0.000018977713,0.000023374014,0.000027887125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99657285,0.0009752796,0.0010189087,0.00033785676,0.0006957119,0.00039940342],"domain_scores_gemma":[0.99566454,0.0024204017,0.0006251014,0.00079111167,0.0004233445,0.000075514465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025760254,0.00030245035,0.00058117945,0.001136537,0.00022100499,0.000059165966,0.00066677487,0.00018595175,0.00001382439],"category_scores_gemma":[0.0006308659,0.0001523153,0.0001206806,0.0025515794,0.0019278997,0.0004240586,0.0001207399,0.0013052396,6.465796e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015639223,0.0009287408,0.9348663,0.0002232662,0.0005391662,0.00014072284,0.0051292214,0.000053711374,0.0019752006,0.011967665,0.00045079822,0.02808596],"study_design_scores_gemma":[0.0035132417,0.0017687425,0.97681373,0.002731713,0.00019473884,0.00010660386,0.004302232,0.0037486358,0.0000818145,0.005970722,0.0005715198,0.00019630392],"about_ca_topic_score_codex":0.00003122191,"about_ca_topic_score_gemma":0.00010658357,"teacher_disagreement_score":0.041947406,"about_ca_system_score_codex":0.000024503006,"about_ca_system_score_gemma":0.00024771623,"threshold_uncertainty_score":0.71034265},"labels":[],"label_agreement":null},{"id":"W608770695","doi":"10.1038/npre.2010.4772.1","title":"From Blood Oxygenation Level Dependent (BOLD) signals to brain temperature maps","year":2010,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Voxel; SIGNAL (programming language); Cerebral blood flow; Transcendental equation; Brain activity and meditation; Blood oxygenation; Oxygenation; Range (aeronautics); Metabolic rate; Atmospheric temperature range; Computer science; Blood-oxygen-level dependent; Functional magnetic resonance imaging; Physics; Artificial intelligence; Neuroscience; Thermodynamics; Materials science; Mathematical analysis; Differential equation; Mathematics; Psychology; Anesthesia; Medicine; Electroencephalography","score_opus":0.014274567317097654,"score_gpt":0.29275702773405843,"score_spread":0.2784824604169608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W608770695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94425285,0.002834728,0.00024094858,0.033768356,0.007448467,0.0033733388,0.0019067654,0.00058798946,0.005586579],"genre_scores_gemma":[0.9497751,0.000102043356,0.020200571,0.015238734,0.008453058,0.00031025757,0.0031904455,0.00023792747,0.0024918348],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99454236,0.0001228017,0.00088681345,0.0017349096,0.0019257689,0.00078734587],"domain_scores_gemma":[0.995951,0.00039944748,0.0004937789,0.0015052476,0.0009188105,0.00073174475],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0011555922,0.0010142727,0.0013306357,0.0010367737,0.00015748848,0.00017992248,0.0009724001,0.006473407,0.00096742576],"category_scores_gemma":[0.0023279183,0.00088946417,0.00050572713,0.00063860917,0.000114360126,0.000124023,0.0008170474,0.014089615,0.000081555685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045304568,0.00028733796,0.0011239934,0.00040331928,0.0009784735,0.00018040581,0.0035532077,0.000020861995,0.9092638,0.00038088486,0.08085815,0.0024965552],"study_design_scores_gemma":[0.007522026,0.0008910227,0.03513283,0.00688981,0.0030292685,0.0003474229,0.0005639644,0.00006593805,0.88508755,0.024271859,0.033684507,0.0025138182],"about_ca_topic_score_codex":0.00023954177,"about_ca_topic_score_gemma":0.00008344249,"teacher_disagreement_score":0.04717364,"about_ca_system_score_codex":0.00018162181,"about_ca_system_score_gemma":0.00042260252,"threshold_uncertainty_score":0.9999458},"labels":[],"label_agreement":null},{"id":"W6902224668","doi":"10.6084/m9.figshare.13337657.v1","title":"Additional file 2 of Effect of thermal therapy and exercises on acute low back pain: a protocol for a randomized controlled trial","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Randomized controlled trial; Protocol (science); Clinical trial; Exercise therapy; MEDLINE","score_opus":0.025511016588009968,"score_gpt":0.2914859255696203,"score_spread":0.2659749089816103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902224668","genre_codex":"dataset","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015190415,0.000010428687,5.309534e-7,0.000101092715,0.000007819885,0.29133117,0.7072834,0.000021128088,0.0010925669],"genre_scores_gemma":[0.0003116211,4.7324176e-7,0.00014678763,0.0006087086,0.0003175903,0.7304537,0.26805136,0.000024277764,0.00008547205],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99849725,0.00034611643,0.0004920717,0.00019966913,0.00031214434,0.00015275725],"domain_scores_gemma":[0.98507595,0.014067122,0.00040645132,0.00015390616,0.00019284518,0.000103751525],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026702337,0.00021102498,0.0017028609,0.00007868546,0.000026234458,0.000005541752,0.00008699774,0.00011203928,0.9538185],"category_scores_gemma":[0.013847627,0.00012205694,0.00060102774,0.00012540737,0.00005373135,0.000029184013,0.000015465272,0.00012886949,0.00003975703],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.5037694,0.000064524065,1.4999503e-7,0.0007270545,0.00028851323,0.000003427784,0.00005300747,2.79248e-7,0.00013742181,3.9755906e-7,0.4938913,0.0010645302],"study_design_scores_gemma":[0.9412658,0.009828171,0.000015205666,0.006527019,0.00010268717,0.000001926729,0.0000061042983,0.0004761242,0.0024342537,0.000006187197,0.03924128,0.00009524283],"about_ca_topic_score_codex":2.7603247e-7,"about_ca_topic_score_gemma":2.7520795e-8,"teacher_disagreement_score":0.95377874,"about_ca_system_score_codex":0.000006318429,"about_ca_system_score_gemma":0.0001004721,"threshold_uncertainty_score":0.99445915},"labels":[],"label_agreement":null},{"id":"W6927713762","doi":"10.34986/makao.2021.60.65.001","title":"Telemedical monitoring of body temperature: Application in clinical practice","year":2021,"lang":"en","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Peter's Hospital","funders":"","keywords":"Telemedicine; Clinical Practice; Remote patient monitoring; Key (lock); Power (physics)","score_opus":0.013651787646304574,"score_gpt":0.3487715862626208,"score_spread":0.3351197986163162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6927713762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68597645,0.0022028736,0.26735413,0.0033373754,0.0013718491,0.0026090194,0.00040205178,0.00017825961,0.036568016],"genre_scores_gemma":[0.9899415,0.0002183638,0.008719457,0.00010124589,0.0005117582,0.000047132347,0.0003536754,0.000028756269,0.00007811202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808913,0.000047637266,0.00082981726,0.0003077158,0.00052248675,0.00020322332],"domain_scores_gemma":[0.99877065,0.00021574658,0.00021818143,0.00030512738,0.0003630268,0.00012728588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006387271,0.00012942681,0.00036068738,0.00012081765,0.0000435442,0.000029707973,0.00006897538,0.00018420634,0.00002236397],"category_scores_gemma":[0.0028923056,0.00011818454,0.00016447117,0.0006779506,0.00009237174,0.0003101702,0.000022928229,0.0002285274,0.000002503669],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025058792,0.0025462979,0.50578904,0.001054604,0.00049286935,0.00027898,0.0011840422,0.000052640047,0.017190265,0.023307499,0.001312136,0.44428572],"study_design_scores_gemma":[0.008670267,0.001474744,0.89427257,0.0011909028,0.00038893824,0.00020656445,0.001084217,0.00042254402,0.023995776,0.004359649,0.063485086,0.00044873025],"about_ca_topic_score_codex":0.0000019786148,"about_ca_topic_score_gemma":5.812423e-7,"teacher_disagreement_score":0.443837,"about_ca_system_score_codex":0.00009004027,"about_ca_system_score_gemma":0.00031631207,"threshold_uncertainty_score":0.48194253},"labels":[],"label_agreement":null},{"id":"W6930195328","doi":"10.5281/zenodo.12944012","title":"#Evil Family Curse removal Spells© ✿ॐ✿ +27786186013 ॐ✿ Business boost spells ®Colorado, Denver,California (Sacramento) ,Arkansas (Little Rock) gay &amp; lesbian love spells Spell In Markham Toronto Court Case win spell【WASHINGTON DC.】House cleansing Spells Canada, Australia London, Manchester, New York","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spell; Economic Justice; Lesbian; Curse; Jury; Suspect","score_opus":0.04521388492360717,"score_gpt":0.270256694768895,"score_spread":0.22504280984528785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930195328","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009421804,0.006224574,0.0005718692,0.0016484495,0.0025066664,0.0043675574,0.0020300758,0.00070798653,0.972521],"genre_scores_gemma":[0.003352537,0.0017405697,0.0020523546,0.001041981,0.0034254072,1.4995628e-8,0.0017512,0.013591848,0.9730441],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99047905,0.00082379865,0.0018424923,0.0023597835,0.002315931,0.0021789384],"domain_scores_gemma":[0.99423355,0.00011191002,0.0008898809,0.002544432,0.0006571765,0.0015630695],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0016801478,0.0016352921,0.0018338118,0.0013507194,0.00016329893,0.0011444842,0.0017904587,0.0010101865,0.33217153],"category_scores_gemma":[0.0004933733,0.001730898,0.00039580103,0.0022320617,0.000541954,0.000371812,0.0011114535,0.0024625892,0.57588243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007010956,0.0004750344,0.0000480648,0.0018486556,0.0005430234,0.014689797,0.0021846031,0.00009581407,0.0021439204,0.00006173756,0.97486466,0.0023435703],"study_design_scores_gemma":[0.0036173759,0.00036647607,0.00024146003,0.0041022664,0.0006732659,0.0062997867,0.0023178272,0.00017091191,0.00032513464,0.00006080515,0.98029864,0.0015260723],"about_ca_topic_score_codex":0.1150472,"about_ca_topic_score_gemma":0.03905651,"teacher_disagreement_score":0.24371089,"about_ca_system_score_codex":0.0035550967,"about_ca_system_score_gemma":0.00030707076,"threshold_uncertainty_score":0.9998924},"labels":[],"label_agreement":null},{"id":"W6930439110","doi":"10.5281/zenodo.13384129","title":"Interviews for New Business Models for Pharmaceutical Innovation and Access to Medicines - Case Study of CAR T-cell therapy","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Business model; Access to medicines; Pharmaceutical industry; Informed consent; Data collection; Expanded access","score_opus":0.18980754477145773,"score_gpt":0.3946001569049178,"score_spread":0.20479261213346006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930439110","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04963243,0.00068972853,0.014181702,0.0040126024,0.00094868575,0.020476598,0.9088943,0.00069029804,0.00047363614],"genre_scores_gemma":[0.007529298,0.0008896581,0.00035444164,0.0016890765,0.0011120503,0.000005291209,0.9860472,0.002081828,0.00029114925],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99747866,0.00018862246,0.0007763032,0.00064089225,0.0005295323,0.00038596377],"domain_scores_gemma":[0.9960853,0.0001372986,0.00031237456,0.00070719613,0.0024907805,0.00026708987],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013362035,0.0003332307,0.00066365383,0.0013629128,0.00058506156,0.00019889938,0.00080185506,0.00017115711,0.0005101089],"category_scores_gemma":[0.0012110961,0.00029203563,0.00006872671,0.0022328142,0.00014005613,0.00018584507,0.00077723083,0.00036835324,0.00009226609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001003588,0.0005419046,0.0000010503538,0.0014890782,0.00021866932,0.00011894237,0.0015401372,0.000028524342,0.00079247786,0.000020714504,0.95810163,0.036143307],"study_design_scores_gemma":[0.0072333612,0.0030040324,0.000031225638,0.00035340697,0.00032734856,0.00045695517,0.0017610874,0.00029913647,0.00016906606,0.000105398765,0.98600703,0.00025197616],"about_ca_topic_score_codex":0.00025153343,"about_ca_topic_score_gemma":0.0000051063753,"teacher_disagreement_score":0.077152885,"about_ca_system_score_codex":0.00008237167,"about_ca_system_score_gemma":0.000027779433,"threshold_uncertainty_score":0.99995315},"labels":[],"label_agreement":null},{"id":"W6939551270","doi":"10.6084/m9.figshare.13337657","title":"Additional file 2 of Effect of thermal therapy and exercises on acute low back pain: a protocol for a randomized controlled trial","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Randomized controlled trial; Protocol (science); Clinical trial; Exercise therapy; MEDLINE","score_opus":0.025511016588009968,"score_gpt":0.2914859255696203,"score_spread":0.2659749089816103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939551270","genre_codex":"dataset","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015190415,0.000010428687,5.309534e-7,0.000101092715,0.000007819885,0.29133117,0.7072834,0.000021128088,0.0010925669],"genre_scores_gemma":[0.0003116211,4.7324176e-7,0.00014678763,0.0006087086,0.0003175903,0.7304537,0.26805136,0.000024277764,0.00008547205],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99849725,0.00034611643,0.0004920717,0.00019966913,0.00031214434,0.00015275725],"domain_scores_gemma":[0.98507595,0.014067122,0.00040645132,0.00015390616,0.00019284518,0.000103751525],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026702337,0.00021102498,0.0017028609,0.00007868546,0.000026234458,0.000005541752,0.00008699774,0.00011203928,0.9538185],"category_scores_gemma":[0.013847627,0.00012205694,0.00060102774,0.00012540737,0.00005373135,0.000029184013,0.000015465272,0.00012886949,0.00003975703],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.5037694,0.000064524065,1.4999503e-7,0.0007270545,0.00028851323,0.000003427784,0.00005300747,2.79248e-7,0.00013742181,3.9755906e-7,0.4938913,0.0010645302],"study_design_scores_gemma":[0.9412658,0.009828171,0.000015205666,0.006527019,0.00010268717,0.000001926729,0.0000061042983,0.0004761242,0.0024342537,0.000006187197,0.03924128,0.00009524283],"about_ca_topic_score_codex":2.7603247e-7,"about_ca_topic_score_gemma":2.7520795e-8,"teacher_disagreement_score":0.95377874,"about_ca_system_score_codex":0.000006318429,"about_ca_system_score_gemma":0.0001004721,"threshold_uncertainty_score":0.99445915},"labels":[],"label_agreement":null},{"id":"W6963825532","doi":"10.25318/1010009301-fra","title":"Sociétés de fiducie ou de prêt hypothécaire, à l'exception des filiales de banque à charte, de l'actif et du passif, estimations, en fin de mois","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wegener granulomatosis; Superficial vein; Arterial disease; Lung disease","score_opus":0.018204662509222518,"score_gpt":0.33232550664498184,"score_spread":0.3141208441357593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963825532","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02132047,0.0011740404,0.20266595,0.0030285253,0.0018085998,0.001352489,0.76835287,0.000083214785,0.00021381781],"genre_scores_gemma":[0.044231568,0.0032079814,0.06843304,0.0019266023,0.0018283433,0.00036789515,0.87845373,0.00019678554,0.0013540443],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9945176,0.0009389534,0.0010575779,0.000712287,0.0011286614,0.0016448846],"domain_scores_gemma":[0.9929951,0.003956255,0.00081361405,0.0008307659,0.00069163484,0.0007126483],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002544426,0.00082627806,0.0008846275,0.00049590546,0.00048041786,0.00014030952,0.0005708529,0.0008986688,0.0022131812],"category_scores_gemma":[0.012320244,0.00095702073,0.00013914233,0.00053013186,0.00046848314,0.00027252955,0.000081553626,0.001426347,0.00006811586],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0001240451,0.00029905364,0.010165838,0.0030282976,0.00031581492,0.00062172447,0.0027712842,0.0006048506,0.0029955814,0.0024971736,0.9493577,0.027218621],"study_design_scores_gemma":[0.0029523855,0.0007805328,0.6435081,0.008302117,0.0039255256,0.001284413,0.0053262785,0.031694353,0.0026075651,0.013798684,0.28364122,0.0021788431],"about_ca_topic_score_codex":0.15943302,"about_ca_topic_score_gemma":0.35334593,"teacher_disagreement_score":0.66571647,"about_ca_system_score_codex":0.009142607,"about_ca_system_score_gemma":0.010879889,"threshold_uncertainty_score":0.999288},"labels":[],"label_agreement":null},{"id":"W6980690299","doi":"","title":"Competency Culture: An Innovative String of Pearls to Deliver Health Information to Nurses","year":2006,"lang":"en","type":"other","venue":"Mspace (University of Manitoba)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Triacetin; Emperipolesis; Durvalumab","score_opus":0.010895751005296772,"score_gpt":0.23920431160207845,"score_spread":0.22830856059678167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980690299","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19088036,0.00051178486,0.012141355,0.0048899665,0.0009324145,0.004657244,0.00091476925,0.0004938025,0.7845783],"genre_scores_gemma":[0.4401758,0.00077198696,0.28174165,0.0099770175,0.0020737583,0.000008886494,0.0048169433,0.0010726809,0.25936127],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987465,0.00006014613,0.00021319948,0.00021041969,0.0005149086,0.000254825],"domain_scores_gemma":[0.998424,0.000013583831,0.00047805137,0.0004101556,0.0004770123,0.00019721997],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016376785,0.00023406642,0.00064738834,0.0013030291,0.00006610208,0.0000051416732,0.00026541122,0.00019591855,0.00006410894],"category_scores_gemma":[0.00003153081,0.00026224816,0.000083409526,0.0011177436,0.00012153217,0.00016256115,0.00008465454,0.00024988916,0.00004189127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030565227,0.00020646902,0.011242791,0.0009521036,0.00026676944,0.000024669886,0.0088570565,0.000031265492,0.00047688678,0.0021076284,0.9666024,0.0089263385],"study_design_scores_gemma":[0.0024159502,0.0028809272,0.22236557,0.0031922134,0.00018557571,0.000012075212,0.045734305,0.000015271624,0.00015387608,0.000020252326,0.7225741,0.00044986026],"about_ca_topic_score_codex":0.012648693,"about_ca_topic_score_gemma":0.04507241,"teacher_disagreement_score":0.52521706,"about_ca_system_score_codex":0.00016734273,"about_ca_system_score_gemma":0.00014805332,"threshold_uncertainty_score":0.99998295},"labels":[],"label_agreement":null},{"id":"W6981000408","doi":"","title":"Deserts, Natives, and Sylvan Cities: Russian Turkestan in American Travel Writing, 1890s – 1910s","year":2025,"lang":"en","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geopolitics; Politics; CONQUEST; Central asia; China; Quarter (Canadian coin)","score_opus":0.010364037880942643,"score_gpt":0.26117450471199877,"score_spread":0.2508104668310561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981000408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90009,0.0039934865,0.0000056256404,0.046764523,0.00028083686,0.0010411023,0.000043424632,0.000082538754,0.04769846],"genre_scores_gemma":[0.9890717,0.0005039681,0.0022474858,0.0038614396,0.00017657416,0.000017050457,0.0000021040946,0.000046367066,0.0040732874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99544156,0.00067144213,0.0015346177,0.0007034335,0.0010566527,0.00059232203],"domain_scores_gemma":[0.9974488,0.0005922162,0.0012717791,0.0004664322,0.000014595899,0.0002061811],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00087430177,0.0004352683,0.0011079324,0.00091306283,0.00043742065,0.000046178877,0.0026332866,0.0003821553,0.00003793137],"category_scores_gemma":[0.00015576187,0.00027975795,0.00040472427,0.0035841987,0.008867573,0.0016242623,0.0009633846,0.0015879021,3.824685e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063422945,0.00031130374,0.7917804,0.0013798602,0.00036484,0.000008233095,0.0035147718,0.0000547248,0.085697986,0.10671774,0.0058321413,0.0037037632],"study_design_scores_gemma":[0.0011013767,0.00021749765,0.765657,0.0035859197,0.00015554705,0.00007734874,0.0021665175,0.000302892,0.21219103,0.012490964,0.0018192279,0.0002346848],"about_ca_topic_score_codex":0.00004624337,"about_ca_topic_score_gemma":2.5910634e-7,"teacher_disagreement_score":0.12649304,"about_ca_system_score_codex":0.00003251621,"about_ca_system_score_gemma":0.00047472105,"threshold_uncertainty_score":0.9999654},"labels":[],"label_agreement":null},{"id":"W6982612576","doi":"","title":"IRC and PWGSC team up to provide guidance on office design choices","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Work (physics)","score_opus":0.020831723662888678,"score_gpt":0.28216144980449914,"score_spread":0.2613297261416105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6982612576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77679664,0.00074340706,0.0029327695,0.0124303885,0.00043256584,0.001984077,0.000009984477,0.00032639003,0.20434378],"genre_scores_gemma":[0.9438018,0.00004658567,0.037317984,0.01128323,0.0010034695,0.0000821716,0.000004528822,0.00004196621,0.006418267],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986454,0.000054763965,0.00024654318,0.00033464935,0.0003889726,0.00032965557],"domain_scores_gemma":[0.9989936,0.00017787586,0.00006153458,0.00041223707,0.0000934625,0.00026133787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042801021,0.00018459748,0.00027788634,0.00018694633,0.00007428996,0.000015830288,0.00013031601,0.000085430445,0.0003685969],"category_scores_gemma":[0.00041305847,0.00014750389,0.0000438138,0.0002656506,0.00009521542,0.000072845585,0.000029941579,0.00023731818,0.0001907942],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026084757,0.00033611135,0.0063251564,0.0002561021,0.00016750486,0.00006933559,0.004036304,0.00010331952,0.38731533,0.0017865915,0.29953393,0.2974618],"study_design_scores_gemma":[0.005569802,0.0037717223,0.06491356,0.0013360911,0.00021888305,0.00017122527,0.00038594776,0.0008672434,0.10469562,0.00090504537,0.81655395,0.00061090005],"about_ca_topic_score_codex":0.000008913474,"about_ca_topic_score_gemma":0.000004532208,"teacher_disagreement_score":0.51702005,"about_ca_system_score_codex":0.000059054684,"about_ca_system_score_gemma":0.00006302557,"threshold_uncertainty_score":0.6015034},"labels":[],"label_agreement":null},{"id":"W6987344877","doi":"","title":"Spitsbergen is afvalputje van oceaan","year":2017,"lang":"nl","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Table (database); Quarter (Canadian coin)","score_opus":0.018532188212416003,"score_gpt":0.2529160301835412,"score_spread":0.2343838419711252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987344877","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11267881,0.108976714,0.006949697,0.0007408478,0.015595749,0.007834024,0.0017837171,0.0006244458,0.744816],"genre_scores_gemma":[0.49974623,0.005890168,0.0001845631,0.00044528898,0.0064579756,0.00012599559,0.000474121,0.0011038993,0.48557174],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9909979,0.00039365017,0.0017827417,0.002204916,0.0025859545,0.0020348558],"domain_scores_gemma":[0.99348027,0.00006905877,0.0017793806,0.0035816834,0.000040727595,0.0010488599],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001421837,0.0020477134,0.002892671,0.0006121886,0.0012733319,0.00020668967,0.0014830842,0.0025294323,0.029635694],"category_scores_gemma":[0.000065096545,0.0019708467,0.0013155212,0.00013992505,0.0010212959,0.0002777914,0.00053889403,0.0022620882,0.02769049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062434416,0.0021774308,0.2602507,0.008794963,0.016094128,0.0020412896,0.01415802,0.0044899164,0.013700295,0.00046914743,0.6685521,0.008647678],"study_design_scores_gemma":[0.014611682,0.001685386,0.0008749782,0.032078564,0.008678519,0.00067375664,0.11707817,0.07411488,0.0000622417,0.00071630167,0.7420434,0.0073821098],"about_ca_topic_score_codex":0.001055983,"about_ca_topic_score_gemma":4.832607e-7,"teacher_disagreement_score":0.38706744,"about_ca_system_score_codex":0.0017589955,"about_ca_system_score_gemma":0.00021937779,"threshold_uncertainty_score":0.9992265},"labels":[],"label_agreement":null},{"id":"W6991307722","doi":"","title":"Girimananda Sutta_Vancouver 2013","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Focus (optics); Meditation; Salient; Buddhism; Theme (computing)","score_opus":0.006146235738405715,"score_gpt":0.2055133394620559,"score_spread":0.19936710372365019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991307722","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000022421089,0.0013371712,4.4124735e-7,0.0003775387,0.0008595815,0.0007773846,0.00013670404,0.00026267135,0.9962261],"genre_scores_gemma":[0.00023586609,0.0013436006,0.0012188044,0.0007189928,0.00061763293,0.000021268397,0.00026380317,0.00023251303,0.9953475],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979759,0.00004153186,0.0006097398,0.00025745347,0.0007066479,0.00040875588],"domain_scores_gemma":[0.9974233,0.00005996838,0.0009479585,0.0010854226,0.00025494132,0.00022841613],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026097777,0.00046672823,0.00085356156,0.00020067806,0.00009324568,0.000032157106,0.00040410287,0.0006469624,0.5609536],"category_scores_gemma":[0.00020231644,0.00040718267,0.0003221488,0.0000069128714,0.00039624202,1.8390223e-7,0.00008915038,0.0005066072,0.013199173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017508693,0.00005536486,0.00001276139,0.0011003646,0.00023988627,0.00010368336,0.00007481332,0.00000462934,5.99344e-7,0.000008924216,0.9933936,0.0048302826],"study_design_scores_gemma":[0.0017329955,0.0003058969,0.00004359778,0.0016674786,0.00028776922,0.00019011354,0.00004350328,0.000005034571,0.000010278141,0.000007667949,0.9953455,0.0003601834],"about_ca_topic_score_codex":0.0067154714,"about_ca_topic_score_gemma":0.0013325494,"teacher_disagreement_score":0.54775447,"about_ca_system_score_codex":0.000058090107,"about_ca_system_score_gemma":0.0000751662,"threshold_uncertainty_score":0.9998989},"labels":[],"label_agreement":null},{"id":"W6997332731","doi":"","title":"Vasomotor Innervation Fields Of Peripheral Nerves Supplying The Hand: Differences Between Neurovascular And Somatosensory Patterns","year":2004,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Neurovascular bundle; Vasomotor; Peripheral; Somatosensory system; Median nerve; Peripheral nervous system; Free nerve ending; Magnetic resonance neurography","score_opus":0.01833704319376546,"score_gpt":0.2224232389061013,"score_spread":0.20408619571233583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997332731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99053884,0.0002854268,0.0074690576,0.0011356977,0.00009620492,0.00030743162,0.000026435555,0.000033811615,0.000107082255],"genre_scores_gemma":[0.9990611,0.00010670399,0.00045793716,0.000120761164,0.0001138935,5.985177e-7,0.00002941481,0.000013263629,0.00009629553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890167,0.000082281986,0.0002017881,0.00022388571,0.00038203213,0.00020832148],"domain_scores_gemma":[0.9991349,0.00010461817,0.00018729731,0.00034132472,0.00014005446,0.00009178557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022523974,0.00016025886,0.00041238058,0.00016767406,0.00028483054,0.000018793393,0.0001998833,0.00013095076,0.00009090537],"category_scores_gemma":[0.00006425665,0.00013604414,0.00018696403,0.00022600303,0.00064016826,0.00017734364,0.00008167256,0.00024985435,0.000001332684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009748743,0.00008411767,0.97013557,0.00036819308,0.00038082435,0.00003442503,0.013103254,0.00002760693,0.0008036048,0.014650966,0.000035563724,0.0002783982],"study_design_scores_gemma":[0.0020912276,0.00031097088,0.6660288,0.00019456165,0.00033304968,0.000023767,0.008276464,0.000037396214,0.000054173477,0.3225004,0.000025727155,0.00012345017],"about_ca_topic_score_codex":0.0009561014,"about_ca_topic_score_gemma":0.00019607358,"teacher_disagreement_score":0.30784944,"about_ca_system_score_codex":0.00003399695,"about_ca_system_score_gemma":0.000054785713,"threshold_uncertainty_score":0.5547719},"labels":[],"label_agreement":null},{"id":"W7003702605","doi":"","title":"Rise and shine","year":2013,"lang":"en","type":"article","venue":"The South Carolina State Library Digital Collections (South Carolina State Library)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Recreation; Tourism; Harbour; Heaven; Sunrise","score_opus":0.006378085368523242,"score_gpt":0.19362946997554611,"score_spread":0.18725138460702287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7003702605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87699497,0.001915394,0.00027109912,0.0070249685,0.0006932104,0.0035444691,0.0022916934,0.0020241553,0.10524006],"genre_scores_gemma":[0.89185286,0.0002582104,0.0007381104,0.0023142009,0.00063314394,0.00034712307,0.00040778297,0.0004111718,0.10303737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99465305,0.0002804879,0.0013788665,0.0012083148,0.0009220191,0.001557274],"domain_scores_gemma":[0.9960863,0.000402088,0.00049392215,0.0016412793,0.00017400987,0.0012023986],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019170836,0.0011143585,0.001271901,0.0013997193,0.0011734713,0.001286704,0.000767056,0.00028994275,0.0016417265],"category_scores_gemma":[0.0001460376,0.00081783585,0.0006000758,0.00464451,0.0013039991,0.005530406,0.0007621216,0.0015068316,0.00039903432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006399007,0.001254932,0.5672042,0.001419875,0.0035851211,0.0014768505,0.07221498,0.0004937827,0.0006062897,0.0015923193,0.32697552,0.016777145],"study_design_scores_gemma":[0.030980762,0.008828425,0.47741446,0.0016963714,0.002454777,0.0032963934,0.015179086,0.0064978567,0.007545827,0.12983127,0.3091563,0.0071184686],"about_ca_topic_score_codex":0.00006645528,"about_ca_topic_score_gemma":8.103082e-7,"teacher_disagreement_score":0.12823895,"about_ca_system_score_codex":0.000055573768,"about_ca_system_score_gemma":0.0005573107,"threshold_uncertainty_score":0.9997501},"labels":[],"label_agreement":null},{"id":"W7009703393","doi":"","title":"Évaluation hémodynamique par thermographie infrarouge chez l’enfant après une chirurgie cardiaque","year":2021,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre de recherche du CHU Sainte-Justine","keywords":"Coronary angiography; Coronary heart disease; Angiography; Hemodynamics","score_opus":0.008795171599118303,"score_gpt":0.1943956698771652,"score_spread":0.1856004982780469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009703393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7932208,0.09289466,0.0004883956,0.0008487174,0.005923775,0.0016281086,0.0002248826,0.00029675613,0.10447389],"genre_scores_gemma":[0.9361569,0.012762221,0.0016752953,0.0005569658,0.0021758326,0.00022358929,0.006881664,0.0002131968,0.039354313],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99246943,0.0008825029,0.0013800558,0.0016191523,0.0022357905,0.0014130452],"domain_scores_gemma":[0.9947573,0.00042501735,0.0010698738,0.0014444478,0.0012631227,0.0010402192],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0010978314,0.0014043291,0.0017381355,0.0014140784,0.0069856825,0.00009957897,0.0007309977,0.0018569469,0.00044501308],"category_scores_gemma":[0.00037673916,0.0015726038,0.0016014244,0.0025691052,0.001077798,0.00051324326,0.00024115233,0.0020742319,0.000111289475],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00527388,0.002234262,0.17841007,0.0033519366,0.011010182,0.036347188,0.25395614,0.009523057,0.40095767,0.05069234,0.0017078432,0.046535425],"study_design_scores_gemma":[0.008751126,0.00095507636,0.762986,0.007359487,0.007828609,0.004581473,0.10233696,0.006395207,0.054156605,0.0017584047,0.039957833,0.0029331858],"about_ca_topic_score_codex":0.064831026,"about_ca_topic_score_gemma":0.008118267,"teacher_disagreement_score":0.58457595,"about_ca_system_score_codex":0.009603735,"about_ca_system_score_gemma":0.006751016,"threshold_uncertainty_score":0.9998707},"labels":[],"label_agreement":null},{"id":"W7032542062","doi":"","title":"L'Estuaire (64)","year":2004,"lang":"fr","type":"other","venue":"Sémaphore (Université du Québec à Rimouski)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Period (music); Reflection (computer programming); Power (physics); Verisimilitude","score_opus":0.00554011384057463,"score_gpt":0.19211110005215257,"score_spread":0.18657098621157794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7032542062","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010634864,0.03618268,0.00055738253,0.012318671,0.004450731,0.00186593,0.00016395998,0.0007627746,0.93306303],"genre_scores_gemma":[0.22358239,0.004210701,0.001283717,0.0031385166,0.007780617,0.000032399697,0.00038084682,0.0014207227,0.75817007],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99414086,0.00023976156,0.0007848734,0.0016183135,0.0013217899,0.0018943923],"domain_scores_gemma":[0.99520993,0.00029023926,0.00072718237,0.0020219337,0.00045053157,0.0013001915],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0004443616,0.0016647507,0.0020886646,0.0018140221,0.00064923597,0.000051721512,0.0013825475,0.0017951744,0.19524348],"category_scores_gemma":[0.0002903414,0.001727548,0.0012003456,0.0016816482,0.0023844293,0.00022114454,0.00041866422,0.0021887866,0.01381803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0011262961,0.0019487728,0.034447823,0.003210571,0.00581416,0.010596722,0.033201415,0.000106279746,0.0018240733,0.28891763,0.51721585,0.10159039],"study_design_scores_gemma":[0.0071911826,0.0012725368,0.032844454,0.0052265394,0.0030705277,0.0009940778,0.006379384,0.00005281977,0.00015059984,0.00035479458,0.9408349,0.0016281937],"about_ca_topic_score_codex":0.06722144,"about_ca_topic_score_gemma":0.17861053,"teacher_disagreement_score":0.42361903,"about_ca_system_score_codex":0.004419453,"about_ca_system_score_gemma":0.006028959,"threshold_uncertainty_score":0.99960995},"labels":[],"label_agreement":null},{"id":"W7034062261","doi":"","title":"Significant events of interhemispheric atmospheric mass exchange","year":2002,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Atmospheric circulation; Atmospheric pressure; Atmospheric wave; Air mass (solar energy); Atmosphere (unit); Mass distribution; Atmospheric instability; Atmospheric models","score_opus":0.014474889385404054,"score_gpt":0.2436777065697933,"score_spread":0.22920281718438923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034062261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8109528,0.0024843349,8.316267e-7,0.000018759683,0.0021396962,0.0016613449,0.00056749914,0.00031970427,0.18185504],"genre_scores_gemma":[0.95079464,0.0020680013,0.0037664806,0.0004106203,0.00020390324,0.0003377823,0.0015958119,0.0005498782,0.040272884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99347967,0.00032203255,0.001856991,0.0013675945,0.0018661664,0.0011075274],"domain_scores_gemma":[0.995148,0.00022887146,0.0014321248,0.0016280372,0.00089009333,0.0006728449],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0008399393,0.0012787791,0.0021229007,0.0002585657,0.00035529406,0.000017191007,0.0008402263,0.0013691718,0.0052525313],"category_scores_gemma":[0.0008052156,0.0012408814,0.0010032427,0.0016776628,0.00016299287,0.00029415963,0.00009871279,0.002422823,0.0003238948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027115415,0.0018081075,0.0012571295,0.009390843,0.0029350074,0.00096868345,0.00013055319,0.000011781551,0.6086652,0.0025941657,0.0002163038,0.36931065],"study_design_scores_gemma":[0.022440528,0.0079641035,0.024415532,0.02652126,0.0095451325,0.000556582,0.00472135,0.0003471114,0.6546047,0.015866864,0.22531816,0.0076987306],"about_ca_topic_score_codex":0.0001574067,"about_ca_topic_score_gemma":0.000033483448,"teacher_disagreement_score":0.36161193,"about_ca_system_score_codex":0.00075867295,"about_ca_system_score_gemma":0.00008258125,"threshold_uncertainty_score":0.9999964},"labels":[],"label_agreement":null},{"id":"W7036922834","doi":"","title":"CUC Announces Unaudited Fourth Quarter and Twelve Month Results for the Period","year":2015,"lang":"en","type":"other","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Period (music); Window (computing); Population","score_opus":0.017445473868738032,"score_gpt":0.2755132755342844,"score_spread":0.2580678016655464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036922834","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008129178,0.008218608,0.00037560787,0.00860399,0.00089720683,0.0023172041,0.0006921752,0.0003071495,0.97850674],"genre_scores_gemma":[0.0010045413,0.0006143411,0.003070451,0.0020878355,0.0031150156,0.00016994565,0.00068332267,0.0003670941,0.9888874],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99832094,0.000041453837,0.0003454895,0.00044352253,0.00048723302,0.0003613887],"domain_scores_gemma":[0.99843466,0.0001872924,0.0002322521,0.00073860725,0.00021657675,0.00019059482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005630448,0.00038531396,0.000623206,0.0002917278,0.00007789624,0.000028754563,0.00017915119,0.00036289237,0.0005523654],"category_scores_gemma":[0.0002812961,0.00020033393,0.0001280205,0.0002390534,0.00038269837,0.000025839767,0.000032440137,0.0003235219,0.000029384857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064748264,0.000039046667,0.00009023193,0.00013376262,0.0004595121,0.0000229226,0.001095761,2.4269306e-7,0.000012343464,0.00008631703,0.99608153,0.0013308177],"study_design_scores_gemma":[0.005545241,0.0009850264,0.00033914534,0.00050529337,0.0005380076,0.00006639767,0.0021631373,0.00014537701,0.0000059686595,0.00015063398,0.9893068,0.00024894555],"about_ca_topic_score_codex":0.00022238164,"about_ca_topic_score_gemma":0.000263379,"teacher_disagreement_score":0.010380686,"about_ca_system_score_codex":0.00002904999,"about_ca_system_score_gemma":0.00014095475,"threshold_uncertainty_score":0.8169381},"labels":[],"label_agreement":null},{"id":"W7043437725","doi":"","title":"Skin Temperature of Acupoints in Health and Primary Dysmenorrhea Patients: A Systematic Review and Meta-Analysis","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Checklist; Skin temperature; Traditional Chinese medicine; Beijing; Quality of life (healthcare); Acupuncture","score_opus":0.18182595993953127,"score_gpt":0.5372066912157071,"score_spread":0.3553807312761758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043437725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50101817,0.49364775,0.000005156925,0.001354604,0.00006777233,0.0033714697,0.0001249388,0.000028582506,0.00038155873],"genre_scores_gemma":[0.74829936,0.2430367,0.00029279606,0.0074234474,0.00003688686,0.0002710861,0.00016684456,0.00007816204,0.00039470498],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.99525183,0.0008147285,0.0021654272,0.00046183018,0.00094345026,0.000362737],"domain_scores_gemma":[0.99643165,0.00044952446,0.0016085351,0.0006937197,0.00043054443,0.0003860144],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004337431,0.00037313913,0.0055235284,0.0024071094,0.00009280517,0.000118216,0.00068673986,0.00011333404,0.0015169078],"category_scores_gemma":[0.0009658492,0.0002504883,0.0005275436,0.0048742173,0.0001634634,0.00059153466,0.00041443753,0.00049724843,0.000002285553],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030308214,0.0006673684,0.43112308,0.46864757,0.07758016,0.00011256279,0.0019404229,0.000007969228,0.002370613,0.00003137596,0.016804814,0.00041097854],"study_design_scores_gemma":[0.0020227046,0.00013362052,0.798076,0.032945216,0.16499528,0.000043676217,0.00037271867,0.000015798583,0.00033259398,0.00052346836,0.000090891,0.00044801782],"about_ca_topic_score_codex":0.0003338566,"about_ca_topic_score_gemma":0.000018627068,"teacher_disagreement_score":0.43570235,"about_ca_system_score_codex":0.00008667551,"about_ca_system_score_gemma":0.00016403946,"threshold_uncertainty_score":0.99999475},"labels":[],"label_agreement":null},{"id":"W7045239190","doi":"","title":"ACPNS legal Case Note Series: 2024053 Black-Donaldson et al. v. The Estate of Helen Small","year":2024,"lang":"en","type":"report","venue":"QUT ePrints (Queensland University of Technology)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estate; Real estate; Estate planning; Corporation","score_opus":0.01601572515602873,"score_gpt":0.2701425492320469,"score_spread":0.25412682407601817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045239190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7712598,0.0013129422,0.00035694556,0.055572756,0.0009875406,0.0015908569,0.00077362836,0.0005771376,0.16756839],"genre_scores_gemma":[0.89604276,0.0349609,0.008076705,0.0008988538,0.0002335728,0.0000077279765,0.00035909525,0.00027435092,0.05914603],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99744314,0.000077729645,0.00056681177,0.00073023885,0.00072651805,0.00045553752],"domain_scores_gemma":[0.9968193,0.00011787989,0.0006110965,0.00148461,0.0008413503,0.00012572635],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010149439,0.000498884,0.001231597,0.0013698662,0.000114505776,0.000009458093,0.0006817994,0.0009723987,0.00034637935],"category_scores_gemma":[0.000312088,0.0004044207,0.0005029744,0.0010079765,0.002097041,0.00006859215,0.00065293646,0.0023572322,0.000054817545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038167064,0.0013941604,0.026496233,0.01307957,0.013134407,0.2779489,0.007531905,0.000050290906,0.014865741,0.011593443,0.4789148,0.15117384],"study_design_scores_gemma":[0.001577371,0.0007647681,0.002226957,0.0027859425,0.0020919181,0.011086712,0.0035882767,0.00003082642,0.0043612574,0.0011841764,0.9698193,0.00048246697],"about_ca_topic_score_codex":0.0034635882,"about_ca_topic_score_gemma":0.00095176673,"teacher_disagreement_score":0.4909045,"about_ca_system_score_codex":0.00025261636,"about_ca_system_score_gemma":0.001295613,"threshold_uncertainty_score":0.9999444},"labels":[],"label_agreement":null},{"id":"W7072010801","doi":"","title":"Visualization and grading of regional ischemia in pig hearts in vivo using near-infrared and thermal imaging","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Visualization; Grading (engineering); Ischemia; In vivo; Medical imaging","score_opus":0.01667233395794232,"score_gpt":0.2963298608710689,"score_spread":0.27965752691312656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072010801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99522305,0.00032329076,0.00032651887,0.00014214944,0.00003633637,0.00018707856,9.261681e-7,0.000014269198,0.003746375],"genre_scores_gemma":[0.9956391,0.000025262962,0.0039384533,0.0002969706,0.00006243712,0.0000016353807,0.0000036161812,0.000016663958,0.000015901556],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991039,0.00002897346,0.0002926783,0.00016512591,0.00019781079,0.00021148266],"domain_scores_gemma":[0.9996358,0.000078579185,0.00007123057,0.00010595305,0.00003852774,0.000069921276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005873378,0.00009937952,0.00022382512,0.0003034151,0.000031883825,0.000007307891,0.000026122152,0.000058968464,0.00005912309],"category_scores_gemma":[0.000066992456,0.00009548524,0.000020133552,0.0003057342,0.00018400462,0.00009655235,0.000022682543,0.00014609603,1.1317155e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001548678,0.000033799566,0.37905833,0.00008692983,0.000007861645,0.00006644926,0.002773944,0.0000030452086,0.61475813,0.0003456487,0.000067792345,0.0026432262],"study_design_scores_gemma":[0.007651529,0.00019049479,0.7452677,0.002363228,0.00007527153,0.0004781741,0.0029698268,0.041501988,0.19604641,0.0026010766,0.0004955465,0.00035874214],"about_ca_topic_score_codex":0.000052806277,"about_ca_topic_score_gemma":0.000008037054,"teacher_disagreement_score":0.4187117,"about_ca_system_score_codex":0.000039154045,"about_ca_system_score_gemma":0.000037438007,"threshold_uncertainty_score":0.3893775},"labels":[],"label_agreement":null},{"id":"W7099269808","doi":"","title":"PUB TYPE Opinion Papers (120)-- Speeches/Meeting Papers (150)","year":2016,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Globalization; Lifelong learning; Politics; Engineering education; Multinational corporation; Field (mathematics); Process (computing)","score_opus":0.01803532612756372,"score_gpt":0.27185142854909305,"score_spread":0.25381610242152935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099269808","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17364313,0.000384133,0.00004159046,0.008659818,0.0014925401,0.00045486313,0.0000039519196,0.00043590966,0.81488407],"genre_scores_gemma":[0.97562927,0.0006573787,0.002934795,0.0041200942,0.0011118642,0.000013878228,0.000019797177,0.00007022875,0.01544271],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982364,0.000052163276,0.00035262934,0.00038083293,0.00048255082,0.00049541646],"domain_scores_gemma":[0.99874234,0.00019500172,0.00009223934,0.0005496135,0.00014433285,0.00027648406],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046322288,0.00024077862,0.0003419297,0.00019223,0.00008044028,0.000010862023,0.00015576583,0.00017741212,0.0057356698],"category_scores_gemma":[0.0006116826,0.00013681018,0.00013968645,0.0004135767,0.00018725533,0.00008029215,0.00005044341,0.00020348065,0.00042312394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045610513,0.00012397807,0.052567042,0.00012352243,0.00026008405,0.00008991199,0.00040114633,5.233777e-7,0.78141785,0.0022692329,0.020342909,0.14194769],"study_design_scores_gemma":[0.009992605,0.0023355535,0.130526,0.0028865354,0.0003018654,0.00042578476,0.0020478081,0.000018183731,0.08047778,0.0007450088,0.76918006,0.0010627822],"about_ca_topic_score_codex":0.000029157367,"about_ca_topic_score_gemma":0.0000037684808,"teacher_disagreement_score":0.80198616,"about_ca_system_score_codex":0.0000927659,"about_ca_system_score_gemma":0.00008964783,"threshold_uncertainty_score":0.9951732},"labels":[],"label_agreement":null},{"id":"W7117674574","doi":"10.1152/ajpheart.00980.2025","title":"Digital thermal monitoring of reactive hyperemia: potential mechanisms and clinical relevance among patients with heart failure with reduced ejection fraction","year":2025,"lang":"en","type":"article","venue":"American Journal of Physiology-Heart and Circulatory Physiology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Dalhousie University","funders":"","keywords":"Heart failure; Ejection fraction; Clinical significance; Stroke volume; Relevance (law)","score_opus":0.005386593944629782,"score_gpt":0.2474581213157817,"score_spread":0.24207152737115192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117674574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992275,0.00007194301,0.000043375294,0.000114451315,0.00026927335,0.0002174678,0.0000037297616,0.000015800304,0.00003645044],"genre_scores_gemma":[0.9984123,0.000030954434,0.0010917572,0.00015377143,0.0002731435,0.0000045539873,0.000007165281,0.000021574418,0.0000047966396],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985198,0.00017510007,0.00049921765,0.00035942456,0.00020722409,0.00023925466],"domain_scores_gemma":[0.9983885,0.00018270187,0.0006298155,0.00023792627,0.00043146499,0.00012953447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001866782,0.00022170157,0.0009478613,0.00021488611,0.00009805462,0.000006591923,0.000065783184,0.00014707934,0.000006681759],"category_scores_gemma":[0.00007010376,0.00015419222,0.00013379527,0.0002767184,0.0013840874,0.00024820733,0.000030071053,0.0007219227,4.811646e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019601749,0.00016691152,0.31046507,0.000029918701,0.00037907602,6.585726e-7,0.00003606116,0.000018584764,0.6861724,0.000008351815,0.00001839308,0.0007443397],"study_design_scores_gemma":[0.002393704,0.005085244,0.985708,0.00033372457,0.0003258549,0.00006706838,0.0010688826,0.000015283527,0.004615894,0.00022304841,0.000034061115,0.0001292568],"about_ca_topic_score_codex":0.000011847244,"about_ca_topic_score_gemma":3.0672504e-7,"teacher_disagreement_score":0.6815566,"about_ca_system_score_codex":0.00004180415,"about_ca_system_score_gemma":0.000119279306,"threshold_uncertainty_score":0.6287776},"labels":[],"label_agreement":null},{"id":"W7125981423","doi":"10.2196/preprints.81837","title":"Acupuncture Prescription Based on Thermal-Sensitized Acupoints for the Treatment of Knee Osteoarthritis: Protocol for a Randomized Controlled Pilot Trial (Preprint)","year":2025,"lang":"","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Acupuncture; Osteoarthritis; Visual analogue scale; Protocol (science); Randomized controlled trial; Clinical trial; Pilot trial","score_opus":0.019649324080487807,"score_gpt":0.32069445984606776,"score_spread":0.30104513576557995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125981423","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046869447,0.00052030856,0.03207954,0.0041896007,0.002693583,0.94701856,0.00015932422,0.0001655112,0.008486624],"genre_scores_gemma":[0.13506426,0.000040262563,0.0015577385,0.0020795634,0.0013565922,0.8541204,0.000066210305,0.00010287216,0.005612101],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99157387,0.0017856655,0.0035634604,0.001161706,0.00092792674,0.0009873747],"domain_scores_gemma":[0.97207016,0.02293623,0.0014860849,0.0019335492,0.0013565358,0.0002174674],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0057120337,0.0014637279,0.0076029906,0.0007741801,0.0004703985,0.00009377408,0.0003782156,0.00054782466,0.0017097727],"category_scores_gemma":[0.006000046,0.00062602694,0.0052538896,0.0005289757,0.0009297022,0.00008506416,0.000038021266,0.00037926537,0.0000074487593],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9345902,0.006210483,0.000010713963,0.0012009878,0.0065849097,0.000008006151,0.0007961966,0.00046128745,0.0073482087,0.0015322664,0.0014882232,0.03976847],"study_design_scores_gemma":[0.84969914,0.07660591,0.0000395025,0.0028862215,0.009732583,0.0000024485123,0.00047396368,0.042780314,0.012760956,0.0010490974,0.0035925447,0.00037734897],"about_ca_topic_score_codex":0.000052155683,"about_ca_topic_score_gemma":0.000015213488,"teacher_disagreement_score":0.13037732,"about_ca_system_score_codex":0.0003029345,"about_ca_system_score_gemma":0.0010746764,"threshold_uncertainty_score":0.99981123},"labels":[],"label_agreement":null},{"id":"W7126453357","doi":"10.21428/594757db.3253427d","title":"Artificial Intelligence solution to monitor key human biomedicalmarker via thermal camera","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Key (lock); Economic shortage; Coronavirus disease 2019 (COVID-19); Health care; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak","score_opus":0.02507284856251775,"score_gpt":0.3224265238891316,"score_spread":0.2973536753266139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126453357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7908641,0.0009780088,0.15714188,0.017313078,0.0032413963,0.0011901144,0.000013155871,0.0010779307,0.028180322],"genre_scores_gemma":[0.99153924,0.000011961931,0.0031864243,0.0017119865,0.0019919726,0.00005182159,0.000033654367,0.000047678735,0.0014252493],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997989,0.00004855377,0.00048341654,0.00042157198,0.00060341734,0.00045404784],"domain_scores_gemma":[0.99900943,0.00008285327,0.000027396422,0.00039340273,0.00010391486,0.00038302486],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000534867,0.0002238769,0.00028323912,0.00053534296,0.000121514604,0.00003883326,0.0001570172,0.00016303427,0.0040883804],"category_scores_gemma":[0.00008566175,0.0001655513,0.0001527111,0.00091995904,0.00024947763,0.000082060295,0.0000631129,0.00041438875,0.0010173033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000154936,0.00017026144,0.00037047622,0.0001410169,0.00018958414,0.000317633,0.0014373192,0.0000032630028,0.52861667,0.0042631193,0.0101123415,0.45422336],"study_design_scores_gemma":[0.0011930092,0.008907499,0.05839148,0.0053077457,0.0018416878,0.0011150888,0.0038889265,0.04105367,0.73509574,0.025308887,0.114766404,0.003129858],"about_ca_topic_score_codex":0.00016474407,"about_ca_topic_score_gemma":0.0000078677685,"teacher_disagreement_score":0.4510935,"about_ca_system_score_codex":0.00010264069,"about_ca_system_score_gemma":0.00005954586,"threshold_uncertainty_score":0.9997605},"labels":[],"label_agreement":null},{"id":"W856120869","doi":"","title":"A novel method for monitoring corneal surface temperature fluctuation in three dimensions","year":2015,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Surface (topology); Ophthalmology; Materials science; Mathematics; Medicine; Geometry","score_opus":0.08924423817735415,"score_gpt":0.40051788637755026,"score_spread":0.3112736482001961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W856120869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962926,0.00014113936,0.00043134508,0.0008816095,0.000768325,0.0010094639,0.00001114184,0.000052260188,0.00041210244],"genre_scores_gemma":[0.87406266,8.2961003e-7,0.1253567,0.00023978963,0.00018083892,0.000069491325,0.000010322136,0.000020910036,0.00005842419],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997607,0.00011010352,0.00038480002,0.0006673524,0.0006299222,0.00060085655],"domain_scores_gemma":[0.9977861,0.00043202753,0.00015628611,0.00030043768,0.00079221517,0.0005329472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026544798,0.0002496242,0.00044309173,0.00035946362,0.00021807797,0.000024618335,0.0002829191,0.00020349225,0.00001161913],"category_scores_gemma":[0.0033826716,0.00020689433,0.000064315915,0.0020393275,0.0022364827,0.00028823555,0.00011206632,0.0004755451,0.000008472994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013038293,0.00012139706,0.09193714,0.000015071823,0.000016526852,0.00007582008,0.0018006834,0.00022378204,0.90528923,0.0002789424,0.000023701457,0.00008729647],"study_design_scores_gemma":[0.0030235273,0.0020370684,0.33887395,0.00029652813,0.000060338,0.0011909344,0.0013973125,0.009107752,0.63283587,0.010879542,0.000009082989,0.0002880904],"about_ca_topic_score_codex":0.0002049331,"about_ca_topic_score_gemma":0.0000047776307,"teacher_disagreement_score":0.2724534,"about_ca_system_score_codex":0.00028488168,"about_ca_system_score_gemma":0.001026593,"threshold_uncertainty_score":0.8436906},"labels":[],"label_agreement":null},{"id":"W918429911","doi":"","title":"Pupillary Response to Corneal Mechanical Stimulation.","year":2015,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stimulation; Ophthalmology; Pupillary response; Pupil; Medicine; Psychology; Neuroscience; Internal medicine","score_opus":0.07335313440167175,"score_gpt":0.38189885753285346,"score_spread":0.3085457231311817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W918429911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99166757,0.000047861868,0.000039375715,0.003261687,0.0005799517,0.00066916796,0.0000063238135,0.000110005,0.003618067],"genre_scores_gemma":[0.9873741,4.535615e-7,0.008843734,0.0031710847,0.00019017914,0.0000450747,0.0000072771695,0.000024417677,0.00034365887],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9966146,0.00039716365,0.0004214301,0.0007468962,0.0011338176,0.000686144],"domain_scores_gemma":[0.996385,0.000388837,0.0001241144,0.00047152286,0.00087312283,0.0017574062],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0036654884,0.00026167923,0.00043698782,0.0006124955,0.00023701844,0.000028247421,0.0004391591,0.00016807075,0.00017600875],"category_scores_gemma":[0.008937693,0.0002187265,0.000069502086,0.0026983405,0.004004442,0.00024445402,0.0002745465,0.0004057513,0.00030501443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018503258,0.00014800353,0.030336626,0.000006908507,0.000023423176,0.0011712046,0.0016540973,0.000074514755,0.96355164,0.00040769696,0.00059303705,0.00018252681],"study_design_scores_gemma":[0.003062643,0.01230053,0.56405866,0.00019527576,0.00008509266,0.0043009073,0.0011828823,0.002513495,0.39771774,0.0136045115,0.00045495902,0.0005232687],"about_ca_topic_score_codex":0.000041092582,"about_ca_topic_score_gemma":3.667307e-7,"teacher_disagreement_score":0.56583387,"about_ca_system_score_codex":0.00031947554,"about_ca_system_score_gemma":0.0016059949,"threshold_uncertainty_score":0.99941045},"labels":[],"label_agreement":null},{"id":"W958499519","doi":"","title":"Mapping Perimetry Data Onto the TSNIT Curve of Nerve Fiber Layer Thickness","year":2009,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Nerve fiber layer; Layer (electronics); Ophthalmology; Materials science; Nerve fiber; Fiber; Medicine; Anatomy; Composite material; Optic nerve","score_opus":0.08986010021677718,"score_gpt":0.38373018479979126,"score_spread":0.2938700845830141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W958499519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98035514,0.00047851136,0.000009565365,0.002942715,0.00025846722,0.0005128802,0.000020504262,0.00004482497,0.015377362],"genre_scores_gemma":[0.9952537,0.000004250143,0.002374544,0.0016313143,0.00020425435,0.000010849271,0.000027927184,0.000015805559,0.000477371],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9967523,0.00030627495,0.00053414825,0.00080597337,0.000959699,0.0006415642],"domain_scores_gemma":[0.9970639,0.00039679272,0.00033253268,0.0013450485,0.00053948653,0.00032223892],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002932046,0.00029190164,0.00053876085,0.0003678935,0.00039453674,0.0000257311,0.0015895289,0.00016687623,0.00052304287],"category_scores_gemma":[0.0022989984,0.00018875267,0.00008760934,0.0026828966,0.011233984,0.00044588608,0.00043614258,0.00067163614,0.0000537755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071624796,0.00020131536,0.039567806,0.000032508106,0.00005953166,0.0002610472,0.0042445455,0.000004786154,0.95356715,0.00043841318,0.0003840841,0.0011671792],"study_design_scores_gemma":[0.0010033878,0.0018990516,0.7427412,0.000444886,0.000115669594,0.002217268,0.0034558016,0.00085848634,0.24020408,0.006327372,0.00037360092,0.00035917305],"about_ca_topic_score_codex":0.0001949612,"about_ca_topic_score_gemma":9.867338e-7,"teacher_disagreement_score":0.71336305,"about_ca_system_score_codex":0.00007891952,"about_ca_system_score_gemma":0.0006681363,"threshold_uncertainty_score":0.99145687},"labels":[],"label_agreement":null}]}