{"meta":{"query_hash":"7885d7b078bc","filters":{"venue":"AIMS Biophysics"},"cohort_total":12,"direct_labels_cover":0,"predictions_cover":12,"exported":12,"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/7885d7b078bc","api":"https://metacan.xera.ac/api/v1/cohort?venue=AIMS+Biophysics"},"results":[{"id":"W1953121839","doi":"10.3934/biophy.2015.4.517","title":"Chromatin epigenomic domain folding: size matters","year":2015,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","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":"Canadian Nautical Research Society","funders":"Engineering and Physical Sciences Research Council","keywords":"Epigenomics; Chromatin; Folding (DSP implementation); Epigenetics; Computational biology; Biology; Epigenesis; Gene; Genetics; Gene expression; DNA methylation; Engineering","score_opus":0.008694505631317066,"score_gpt":0.21906964323660008,"score_spread":0.210375137605283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1953121839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8923362,0.003995446,0.09269859,0.0010808172,0.00009839089,0.000022849084,0.00011110778,0.00012819038,0.009528445],"genre_scores_gemma":[0.9938245,0.0010709524,0.0034351628,0.00007209005,0.000032354816,0.000012549721,0.000040077768,0.000029574838,0.0014826598],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99994826,0.000010263214,0.0000017657699,0.000021297026,0.000010093427,0.000008227925],"domain_scores_gemma":[0.99978906,0.0001098003,0.0000374948,0.000028487866,0.000013048058,0.0000220941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001617923,0.00028322346,0.00020013441,0.00020693662,0.0002344537,0.00037497593,0.0003330723,0.0004454139,0.0017143878],"category_scores_gemma":[0.00051284465,0.00017609818,0.00023825803,0.000112918235,0.0005846365,0.001103977,0.00027757618,0.00032702636,0.0001926227],"study_design_candidate":"theoretical_or_conceptual","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":[0.00017281856,0.00008477713,0.0064234477,0.0002907151,0.000051888648,0.00049425196,0.00022846012,0.084926575,0.6830224,0.19434604,0.00057112117,0.02938764],"study_design_scores_gemma":[0.000034478693,0.00038712902,0.021735728,0.00006241642,0.000085039304,0.001150861,0.00021135752,0.46247467,0.2532736,0.25052172,0.00997883,0.00008409571],"about_ca_topic_score_codex":0.000335245,"about_ca_topic_score_gemma":0.00036733522,"teacher_disagreement_score":0.0017143878,"about_ca_system_score_codex":0.00021042753,"about_ca_system_score_gemma":0.0001239538,"threshold_uncertainty_score":0.005735159},"labels":[],"label_agreement":null},{"id":"W2615482484","doi":"10.3934/biophy.2017.3.337","title":"Mechanisms and applications of the anti-inflammatory effects of photobiomodulation","year":2017,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":1179,"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":"National Institutes of Health; National Institute of Allergy and Infectious Diseases; World Anti-Doping Agency","keywords":"Inflammation; Reactive oxygen species; Oxidative stress; Nitric oxide; Chemistry; Reactive nitrogen species; Calcium; Cell biology; Pharmacology; Biochemistry; Medicine; Internal medicine; Biology","score_opus":0.005201571823074453,"score_gpt":0.2546206665357996,"score_spread":0.24941909471272516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615482484","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041003373,0.92029303,0.013566834,0.0030156153,0.00067773357,0.0001786324,0.00023923864,0.00012563841,0.020899942],"genre_scores_gemma":[0.39447814,0.57639277,0.010089655,0.0029753202,0.0011880093,0.00046515593,0.0003199114,0.000027174874,0.0140639385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996811,0.000059994214,0.000020935076,0.00006662931,0.00010018895,0.000071082686],"domain_scores_gemma":[0.9998185,0.00004029254,0.000047587862,0.000013833599,0.000054529533,0.000025246549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037651762,0.00067626394,0.0005375994,0.0010220784,0.00044128363,0.0010347561,0.0006740572,0.00127247,0.0022337213],"category_scores_gemma":[0.00029784653,0.00029702872,0.0008689078,0.0005749048,0.00067813037,0.000786246,0.0005354142,0.0016834098,0.000629084],"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":[0.0007818628,0.0006286094,0.001596505,0.0098637985,0.000144247,0.0015610041,0.0003892948,0.000999879,0.6375433,0.030787908,0.0041669714,0.3115366],"study_design_scores_gemma":[0.00014157959,0.0028817565,0.012687265,0.0013886748,0.00032099438,0.0056007802,0.00049784663,0.0020364306,0.59174263,0.018276727,0.3643151,0.000110288485],"about_ca_topic_score_codex":0.00047247912,"about_ca_topic_score_gemma":0.00042748306,"teacher_disagreement_score":0.0022337213,"about_ca_system_score_codex":0.0005737577,"about_ca_system_score_gemma":0.0005417443,"threshold_uncertainty_score":0.007472515},"labels":[],"label_agreement":null},{"id":"W2644262282","doi":"10.3934/biophy.2017.3.400","title":"Cellular deformation characterization of human breast cancer cells under hydrodynamic forces","year":2017,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","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":"Concordia University","funders":"","keywords":"Mechanotransduction; Deformation (meteorology); Shear stress; Mechanics; Materials science; Cancer cell; Stress (linguistics); Human breast; Mechanobiology; Biophysics; Nanotechnology; Chemistry; Cancer; Cell biology; Physics; Composite material; Biology","score_opus":0.007594160023557062,"score_gpt":0.24601574779957142,"score_spread":0.23842158777601435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2644262282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921177,0.00030356276,0.006221627,0.000035456505,0.000008240138,0.000011853697,0.00022318642,0.000059495294,0.0010187171],"genre_scores_gemma":[0.9953349,0.0002152584,0.0031824992,0.000014516374,0.0000028603988,0.00001635966,0.00028188954,0.000007932847,0.000943754],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991167,0.000009100664,0.0000051083507,0.000018990546,0.000038771683,0.000016341002],"domain_scores_gemma":[0.9999268,0.000021250598,0.0000124643775,0.000012167469,0.0000184717,0.000008797194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012351148,0.0001575106,0.00018065942,0.00024578156,0.00017876834,0.00018610968,0.0001423956,0.00032001533,0.0009969453],"category_scores_gemma":[0.00018184932,0.00011225883,0.00014801307,0.00022824343,0.00013722216,0.000107173946,0.00011754827,0.00011014995,0.00020732846],"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":[0.00015845335,0.000079135876,0.008837923,0.0000874692,0.000010236212,0.00020798626,0.00022572883,0.032461155,0.9455063,0.00027575388,0.00017658787,0.011973269],"study_design_scores_gemma":[0.000020771147,0.00043255588,0.08846122,0.000017309918,0.000031517644,0.0006541753,0.00030041012,0.3095806,0.59652656,0.00022397761,0.0036946281,0.000056224442],"about_ca_topic_score_codex":0.0024379024,"about_ca_topic_score_gemma":0.0020285684,"teacher_disagreement_score":0.0024379024,"about_ca_system_score_codex":0.0001980042,"about_ca_system_score_gemma":0.00013841607,"threshold_uncertainty_score":0.0048474073},"labels":[],"label_agreement":null},{"id":"W2788102064","doi":"10.3934/biophy.2018.1.36","title":"A machine learning algorithm for identifying and tracking bacteria in three dimensions using Digital Holographic Microscopy","year":2018,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","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":"McGill University","funders":"California Institute of Technology; Gordon and Betty Moore Foundation","keywords":"Holography; Microscopy; Computer science; Digital holographic microscopy; Speckle noise; Digital holography; Computer vision; Software; Artificial intelligence; Noise (video); Tracking (education); Speckle pattern; Optical microscope; Algorithm; Optics; Physics; Image (mathematics)","score_opus":0.02408313643914262,"score_gpt":0.2902535145016127,"score_spread":0.26617037806247007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788102064","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032160683,0.00011872656,0.99396557,0.0000783852,0.00003466302,0.000044606695,0.000087356326,0.0018821395,0.00057262724],"genre_scores_gemma":[0.033499327,0.00013619412,0.9635036,0.00009111677,0.000027666558,0.00025324195,0.00035255757,0.000121660094,0.002014789],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955934,0.000069566384,0.000037004327,0.00015388196,0.00014360908,0.000036570946],"domain_scores_gemma":[0.99927694,0.00036319162,0.00006600181,0.000066277586,0.0001961939,0.00003141034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009425979,0.0010017486,0.00085344363,0.000935815,0.0006559826,0.0008990232,0.0017303721,0.0015049723,0.0028239123],"category_scores_gemma":[0.002966083,0.00053034164,0.0008431672,0.00094283966,0.0005086377,0.0009537943,0.0011030524,0.0015467022,0.002201597],"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":[0.00013616864,0.00013540772,0.0012388623,0.00014681165,0.000090964124,0.00013855511,0.00008087546,0.26528063,0.012571643,0.006374214,0.0065605347,0.7072454],"study_design_scores_gemma":[0.000014716573,0.0000329098,0.00021832822,0.000012375625,0.000007977566,0.000056592646,0.000008808626,0.9907761,0.0037984292,0.002857942,0.002204646,0.00001118884],"about_ca_topic_score_codex":0.005025757,"about_ca_topic_score_gemma":0.0045142965,"teacher_disagreement_score":0.005025757,"about_ca_system_score_codex":0.00066542,"about_ca_system_score_gemma":0.0013444973,"threshold_uncertainty_score":0.009992957},"labels":[],"label_agreement":null},{"id":"W2800554653","doi":"10.3934/biophy.2018.2.125","title":"The effect of different divalent cations on the kinetics and fidelity of <em>Bacillus stearothermophilus</em> DNA polymerase","year":2018,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","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":"Concordia University","funders":"National Institute of General Medical Sciences","keywords":"Divalent; DNA; Chemistry; DNA polymerase; Crystallography; Stereochemistry; Biochemistry","score_opus":0.006045352375010689,"score_gpt":0.22085208587871114,"score_spread":0.21480673350370044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800554653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943826,0.0018339506,0.0019631055,0.000097233555,0.000041130108,0.000023017858,0.0002779516,0.00011335018,0.0012675993],"genre_scores_gemma":[0.99343973,0.0007625742,0.0034593344,0.00004544235,0.0000089543355,0.000019157074,0.00058015855,0.00009044111,0.0015942792],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902654,0.00026004246,0.00017094139,0.00022703833,0.00020710751,0.00010838807],"domain_scores_gemma":[0.99815255,0.00082692504,0.000340682,0.00021720673,0.0002961712,0.0001664229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005888546,0.0005216403,0.00047322485,0.00018179178,0.00015520034,0.00061602646,0.0005604952,0.0004915857,0.0010443586],"category_scores_gemma":[0.0018444652,0.00045722176,0.00022408922,0.00025882514,0.00029655872,0.00039835696,0.00030358118,0.00069783855,0.00047450454],"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":[0.00082953804,0.00007862207,0.0010382951,0.00012247944,0.00002490947,0.000045014633,0.00008004731,0.0008015231,0.9920582,0.000087927685,0.00007997086,0.004753439],"study_design_scores_gemma":[0.000005945348,0.0001941511,0.000925817,0.0000061918013,0.00001113891,0.00003709537,0.000016412534,0.001177909,0.9969171,0.000012555732,0.00068602327,0.000009597928],"about_ca_topic_score_codex":0.0031234496,"about_ca_topic_score_gemma":0.0027126714,"teacher_disagreement_score":0.0031234496,"about_ca_system_score_codex":0.00058272225,"about_ca_system_score_gemma":0.00034188075,"threshold_uncertainty_score":0.0062105656},"labels":[],"label_agreement":null},{"id":"W2896314475","doi":"10.3934/biophy.2018.4.231","title":"Recent progress in Monte Carlo simulation on gold nanoparticle radiosensitization","year":2018,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":50,"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; University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Monte Carlo method; Brachytherapy; Photon; Tracking (education); Colloidal gold; Dosimetry; Secondary electrons; Photoelectric effect; Nanoparticle; Materials science; Medical physics; Physics; Computational physics; Electron; Radiation therapy; Nanotechnology; Optics; Nuclear medicine; Medicine; Nuclear physics; Radiology","score_opus":0.018074161359533162,"score_gpt":0.2983468621200652,"score_spread":0.28027270076053207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896314475","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0955682,0.091969825,0.7582503,0.0025268968,0.0008580485,0.00014078329,0.00067735766,0.0015562371,0.048452377],"genre_scores_gemma":[0.55035293,0.16157494,0.27044323,0.0008837943,0.0007625067,0.0004944216,0.00153726,0.0011746224,0.012776314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945384,0.00024083466,0.000035341254,0.000060175375,0.00017566334,0.00003415013],"domain_scores_gemma":[0.99800986,0.0013770431,0.00007695769,0.00012707528,0.00035853064,0.000050539253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010897248,0.0006716903,0.0012796103,0.00078296487,0.00033334232,0.0009186342,0.0009831191,0.0012012074,0.001969686],"category_scores_gemma":[0.0032052624,0.0005498525,0.0010174749,0.0014206722,0.00051849644,0.0008605103,0.00046041934,0.000893038,0.0005166109],"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":[0.00010724342,0.000053549014,0.001374648,0.0009930765,0.00014503172,0.00011749284,0.000119974124,0.90627944,0.0050650574,0.027112786,0.0017343463,0.05689727],"study_design_scores_gemma":[0.000028543316,0.000032598327,0.0003990005,0.00010750788,0.00005596115,0.000055430795,0.000018284105,0.9687405,0.004771803,0.0063635325,0.01939251,0.000034354765],"about_ca_topic_score_codex":0.006559602,"about_ca_topic_score_gemma":0.0032771854,"teacher_disagreement_score":0.006559602,"about_ca_system_score_codex":0.0008978115,"about_ca_system_score_gemma":0.0011502326,"threshold_uncertainty_score":0.013042867},"labels":[],"label_agreement":null},{"id":"W3133697945","doi":"10.3934/biophy.2021009","title":"Applications of artificial intelligence, mathematical modeling and simulation in medical biophysics","year":2021,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Artificial Intelligence in Healthcare and Education","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":"University of Toronto; University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Computer science; Engineering","score_opus":0.12086029930005479,"score_gpt":0.4267362348792662,"score_spread":0.30587593557921144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133697945","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008511479,0.3110554,0.4452108,0.094490744,0.0097475,0.0002365413,0.0002741173,0.0010967338,0.12937666],"genre_scores_gemma":[0.25417873,0.32862177,0.36401963,0.00924792,0.010010751,0.00069318264,0.0004235292,0.00050474476,0.032299742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99743134,0.0011707434,0.00020498227,0.0001695054,0.00095744303,0.00006599983],"domain_scores_gemma":[0.99403435,0.0044658016,0.00026130583,0.00044004078,0.0006001835,0.00019835298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039704684,0.0011406791,0.0011165534,0.003994755,0.0011511303,0.0045643,0.0010321194,0.0027277002,0.0049256925],"category_scores_gemma":[0.009729293,0.00057790277,0.0011422673,0.0030000857,0.0044585126,0.0036002262,0.0041048466,0.0045199986,0.0015020781],"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":[0.00003898413,0.00011002435,0.0019611951,0.0017334926,0.0001784959,0.0003358483,0.0004808,0.036706325,0.001532221,0.77703243,0.032105986,0.14778414],"study_design_scores_gemma":[0.000018990439,0.0000437678,0.0007879267,0.00059768435,0.00003614625,0.00042496543,0.00016602714,0.07247518,0.0009162767,0.7994863,0.124988936,0.000057879763],"about_ca_topic_score_codex":0.0023367251,"about_ca_topic_score_gemma":0.0018325746,"teacher_disagreement_score":0.0049256925,"about_ca_system_score_codex":0.0020098533,"about_ca_system_score_gemma":0.0031585551,"threshold_uncertainty_score":0.02099812},"labels":[],"label_agreement":null},{"id":"W3170467102","doi":"10.3934/biophy.2021017","title":"Computer method and modeling: Medical biophysics applications in cancer therapy, medical imaging and drug delivery","year":2021,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","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":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Cancer therapy; Medical imaging; Drug delivery; Medicine; Medical physics; Cancer; Nanotechnology; Internal medicine; Radiology; Materials science","score_opus":0.01375866487836809,"score_gpt":0.35388741607118324,"score_spread":0.34012875119281516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170467102","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039594066,0.03940078,0.9093767,0.011172138,0.0020793,0.00015632577,0.00054928684,0.0029008347,0.030405262],"genre_scores_gemma":[0.185154,0.08895204,0.65056634,0.0034296822,0.003190243,0.0010644832,0.0014489263,0.0021944125,0.06399988],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911743,0.0002409408,0.000038193917,0.00009866384,0.00047500586,0.00002979383],"domain_scores_gemma":[0.9987514,0.0006933177,0.000069669564,0.00011948609,0.00029836604,0.00006774931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001416684,0.000957673,0.001032149,0.001906601,0.0006525444,0.0022208695,0.0010503213,0.002199952,0.0069421413],"category_scores_gemma":[0.0036831377,0.0006159214,0.00087933725,0.0027341985,0.0015677029,0.0016900613,0.0015288972,0.0027393275,0.0033557634],"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":[0.0001004798,0.0001327699,0.0015217058,0.0015912959,0.00017799606,0.00027976857,0.0003189284,0.1885192,0.01111567,0.3298321,0.14186428,0.32454583],"study_design_scores_gemma":[0.000035841935,0.00006810133,0.00094185345,0.00035775464,0.00005832876,0.00048408125,0.00006655334,0.64259136,0.004252905,0.1286567,0.22240244,0.000084127125],"about_ca_topic_score_codex":0.003990341,"about_ca_topic_score_gemma":0.0023127878,"teacher_disagreement_score":0.0069421413,"about_ca_system_score_codex":0.000873542,"about_ca_system_score_gemma":0.0019176716,"threshold_uncertainty_score":0.023223817},"labels":[],"label_agreement":null},{"id":"W3206611948","doi":"10.3934/biophy.2021027","title":"Evaluation of dose enhancement with gold nanoparticles in kilovoltage radiotherapy using the new EGS geometry library in Monte Carlo simulation","year":2021,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Radiation Therapy and Dosimetry","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":"Princess Margaret Cancer Centre; University of Toronto; Toronto Metropolitan University; University Health Network","funders":"","keywords":"Colloidal gold; Imaging phantom; Monte Carlo method; Nanoparticle; Materials science; Chemistry; Nuclear medicine; Radiochemistry; Analytical Chemistry (journal); Nuclear chemistry; Nanotechnology; Chromatography; Mathematics; Medicine","score_opus":0.03402652191993098,"score_gpt":0.3139589305472829,"score_spread":0.2799324086273519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206611948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5545534,0.0009872409,0.41706988,0.00024039308,0.00012513605,0.00023935178,0.00070717547,0.002540858,0.023536587],"genre_scores_gemma":[0.88971144,0.0003480488,0.10679614,0.000067024695,0.000009107732,0.00013592532,0.00025655457,0.00035375354,0.0023220477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996493,0.00010384095,0.000017388535,0.00003266195,0.00016246081,0.00003435314],"domain_scores_gemma":[0.999134,0.0005223983,0.000071199036,0.00007580363,0.00016194204,0.000034575536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007383065,0.00047602944,0.0005281795,0.00038604444,0.0001791451,0.00043459717,0.000885162,0.0005434129,0.0020105632],"category_scores_gemma":[0.0015703914,0.00032720444,0.0004904514,0.0005439431,0.0002310229,0.0004312293,0.00037222033,0.00036391136,0.00027017968],"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":[0.00015542872,0.00004497927,0.0021837682,0.00011285024,0.00003767841,0.000098182034,0.000054265656,0.97202694,0.014071991,0.0025081467,0.00024181578,0.008463978],"study_design_scores_gemma":[0.0000120482,0.000049954695,0.00073473086,0.000006185638,0.000010841897,0.00003663267,0.000010328928,0.98812544,0.010190202,0.00022515646,0.0005868647,0.000011611209],"about_ca_topic_score_codex":0.0048734704,"about_ca_topic_score_gemma":0.004083363,"teacher_disagreement_score":0.0048734704,"about_ca_system_score_codex":0.0010571192,"about_ca_system_score_gemma":0.00069311383,"threshold_uncertainty_score":0.009690225},"labels":[],"label_agreement":null},{"id":"W4313186578","doi":"10.3934/biophy.2022023","title":"A Wiener process with jumps to model the logarithm of new epidemic cases","year":2022,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"COVID-19 epidemiological studies","field":"Mathematics","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":"Polytechnique Montréal","funders":"","keywords":"Logarithm; Exponential function; Mathematics; Exponential growth; Pandemic; Jump; Coronavirus disease 2019 (COVID-19); Wiener process; Process (computing); Applied mathematics; Statistics; Statistical physics; Mathematical analysis; Computer science; Physics; Medicine; Quantum mechanics","score_opus":0.2810880535328757,"score_gpt":0.42435096132655004,"score_spread":0.14326290779367434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313186578","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06781732,0.00091923465,0.9180184,0.0015595813,0.00050631614,0.00014066287,0.00048566077,0.00032440174,0.010228457],"genre_scores_gemma":[0.8829068,0.0018714258,0.058905568,0.0005590686,0.0005624511,0.00047058432,0.0005869908,0.00013452028,0.054002516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991042,0.00031512568,0.000048563885,0.00016101894,0.00021536708,0.00015568496],"domain_scores_gemma":[0.9967079,0.0021707779,0.00038544228,0.00016421339,0.00041345967,0.00015808642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036135057,0.0010256236,0.0013578617,0.0019118786,0.00065660744,0.0017509876,0.0026977912,0.002374199,0.0062996284],"category_scores_gemma":[0.007962643,0.00045925117,0.0018217291,0.0013781992,0.0019973847,0.00256235,0.0014318009,0.0026884929,0.0010616856],"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":[0.00010369892,0.00008872902,0.003843572,0.00011986228,0.000096286065,0.00059374823,0.00028557976,0.53151053,0.0028704698,0.44788748,0.0023526503,0.010247416],"study_design_scores_gemma":[0.000014398177,0.00003121288,0.0004177056,0.000016276637,0.000023273442,0.000062589614,0.000024305604,0.97216225,0.0002249107,0.02620457,0.00079611066,0.000022465741],"about_ca_topic_score_codex":0.011714199,"about_ca_topic_score_gemma":0.00909887,"teacher_disagreement_score":0.011714199,"about_ca_system_score_codex":0.0016386127,"about_ca_system_score_gemma":0.0013824583,"threshold_uncertainty_score":0.023292005},"labels":[],"label_agreement":null},{"id":"W4400216566","doi":"10.3934/biophy.2024014","title":"COVID19 vaccines as boosters or first doses: simulating scenarios to minimize infections and deaths","year":2024,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"COVID-19 epidemiological studies","field":"Mathematics","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":"Booster (rocketry); Pandemic; Booster dose; Population; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Public health; Medicine; Environmental health; Computer science; Virology; Immunology; Disease; Infectious disease (medical specialty); Immunization; Geography; Engineering; Antigen","score_opus":0.14821028845089326,"score_gpt":0.41898257151809304,"score_spread":0.2707722830671998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400216566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97450054,0.00021565131,0.019937573,0.0007008457,0.000032720836,0.000066505105,0.00049044087,0.00003969452,0.004015931],"genre_scores_gemma":[0.99319977,0.00011250143,0.004962691,0.00005033319,0.000007950102,0.00006564423,0.00016614192,0.000008960321,0.0014261547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959284,0.00023688951,0.000011776962,0.000047372934,0.000020804102,0.00009029543],"domain_scores_gemma":[0.9979296,0.0014939918,0.00021948722,0.00009461587,0.00009753908,0.00016478606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012131869,0.0004940216,0.0006636996,0.00052093493,0.0003058999,0.00068522914,0.0009125846,0.0014356504,0.0022877369],"category_scores_gemma":[0.0042389357,0.00035665274,0.00080486364,0.00032413594,0.0005624933,0.0007542719,0.00067208696,0.00083326804,0.00015662308],"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":[0.00018515634,0.00009528242,0.004074893,0.00003008778,0.0000302883,0.00008101148,0.000055357104,0.9885296,0.0006827305,0.004488519,0.00027989707,0.0014672],"study_design_scores_gemma":[0.00012275182,0.00017218235,0.001593397,0.000013464465,0.000031485284,0.00002633219,0.000108241155,0.99315464,0.0005478094,0.0037329898,0.00048577518,0.000010885465],"about_ca_topic_score_codex":0.010611717,"about_ca_topic_score_gemma":0.0069057997,"teacher_disagreement_score":0.010611717,"about_ca_system_score_codex":0.0014865608,"about_ca_system_score_gemma":0.00085111335,"threshold_uncertainty_score":0.021099865},"labels":[],"label_agreement":null},{"id":"W4402531749","doi":"10.3934/biophy.2024019","title":"Biophysical insights into nanomaterial-induced DNA damage: mechanisms, challenges, and future directions","year":2024,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","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":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"DNA damage; Genotoxicity; Nanotechnology; Nanomaterials; DNA; Computational biology; Chemistry; Biology; Materials science; Genetics; Toxicity","score_opus":0.015473457106759654,"score_gpt":0.24037945712934086,"score_spread":0.2249060000225812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402531749","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058129155,0.95377237,0.0153266005,0.017130375,0.0010801003,0.0000322859,0.00010160998,0.00014987994,0.006593891],"genre_scores_gemma":[0.02949181,0.9560197,0.006878216,0.0030686888,0.0010809369,0.000042743606,0.00009590137,0.000030349613,0.0032916341],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974066,0.000053592026,0.000021942542,0.00004872318,0.0000875893,0.0000475291],"domain_scores_gemma":[0.999355,0.0003329731,0.00005942971,0.000031367887,0.00015607267,0.00006517845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014651832,0.0005717185,0.0011079938,0.00073792273,0.00038279645,0.0016014696,0.000716932,0.001806724,0.003076168],"category_scores_gemma":[0.0007032992,0.00029400535,0.00054734776,0.0005730529,0.0016458302,0.00390497,0.00095166435,0.0028792473,0.0014306478],"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":[0.0003273109,0.0004323101,0.0014447414,0.0186938,0.00013076908,0.0011742869,0.00080550014,0.005276368,0.22052817,0.100439735,0.028028848,0.62271816],"study_design_scores_gemma":[0.00003344955,0.0006602216,0.0025880344,0.003143937,0.000106260595,0.0020803236,0.0015112378,0.0065763104,0.08407588,0.12302896,0.77605104,0.00014438365],"about_ca_topic_score_codex":0.0006373331,"about_ca_topic_score_gemma":0.0009883582,"teacher_disagreement_score":0.003076168,"about_ca_system_score_codex":0.0009801764,"about_ca_system_score_gemma":0.001200369,"threshold_uncertainty_score":0.0102908015},"labels":[],"label_agreement":null}]}