{"meta":{"query_hash":"3ccc829b4914","filters":{"venue":"Inside Precision Medicine"},"cohort_total":22,"direct_labels_cover":0,"predictions_cover":22,"exported":22,"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/3ccc829b4914","api":"https://metacan.xera.ac/api/v1/cohort?venue=Inside+Precision+Medicine"},"results":[{"id":"W4214931365","doi":"10.1089/ipm.09.01.03","title":"AI offers window on heart health","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Healthcare Systems and Public Health","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":"Window (computing); Spare part; Download; Spare time; Reading (process); Volume (thermodynamics); Quarter (Canadian coin); Library science; Computer science; Art; World Wide Web; Political science; Humanities; Engineering; History; Law; Mechanical engineering; Physics","score_opus":0.060695297168072676,"score_gpt":0.4014199853320665,"score_spread":0.3407246881639938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214931365","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028027068,0.11771116,0.010460957,0.6214942,0.06629267,0.000024249115,0.00055658194,0.00076754845,0.1798899],"genre_scores_gemma":[0.21703227,0.12262765,0.011839331,0.27062297,0.24885951,0.00012527141,0.00051158166,0.0009697972,0.12741171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799204,0.0007674857,0.00008851808,0.00026473711,0.00062315626,0.00026405207],"domain_scores_gemma":[0.9823973,0.012390781,0.00045109057,0.0014016192,0.0009772732,0.0023819266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061395057,0.00088910694,0.001056694,0.0018997806,0.0021868192,0.010564103,0.0010587949,0.005895261,0.05634575],"category_scores_gemma":[0.017557815,0.00042135452,0.0009318668,0.00087420817,0.009314755,0.018628212,0.0057137064,0.014252862,0.009464988],"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":[0.00022131011,0.00008537181,0.00094103947,0.0005237054,0.000077126046,0.0003196213,0.001002124,0.00021367779,0.00073956145,0.52408695,0.33478564,0.13700394],"study_design_scores_gemma":[0.00004420715,0.000077531375,0.000759755,0.0006756815,0.000036687827,0.0003478074,0.0008992224,0.0003010059,0.00042043856,0.3959015,0.60048556,0.000050563383],"about_ca_topic_score_codex":0.001213577,"about_ca_topic_score_gemma":0.0013600386,"teacher_disagreement_score":0.05634575,"about_ca_system_score_codex":0.002026437,"about_ca_system_score_gemma":0.0025030882,"threshold_uncertainty_score":0.18849528},"labels":[],"label_agreement":null},{"id":"W4223900741","doi":"10.1089/ipm.09.02.03","title":"MRD: The Future Foundation of Solid Tumor Trials?","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","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":"CARE Canada","funders":"","keywords":"Medicine; Solid tumor; Internal medicine; Minimal residual disease; Family medicine; Clinical trial; Precision medicine; Disease; Oncology; Library science; Gerontology; Medical physics; Cancer; Pathology; Computer science","score_opus":0.024268782921454735,"score_gpt":0.32017779430126025,"score_spread":0.2959090113798055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223900741","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021578097,0.25456467,0.012693579,0.70091695,0.014149838,0.000076208635,0.0010267851,0.00045149517,0.013962726],"genre_scores_gemma":[0.11551041,0.3687417,0.036238223,0.3616261,0.09910183,0.0006429389,0.0024465683,0.0006883083,0.015003959],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9858947,0.008281418,0.00079251,0.0016107929,0.0024006476,0.001020033],"domain_scores_gemma":[0.9078847,0.06350355,0.0044075353,0.0064116903,0.009402105,0.008390403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.052292842,0.0015334965,0.0052794456,0.0017621642,0.0016889682,0.009918655,0.0037334545,0.010762579,0.03859145],"category_scores_gemma":[0.06285282,0.0007584698,0.002075484,0.0019217884,0.010926985,0.02107846,0.005245247,0.014871456,0.010207363],"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":[0.0027572135,0.00032634634,0.0021150985,0.0021496587,0.00023782902,0.00031770274,0.00019124484,0.0019518427,0.0013169863,0.21569957,0.32091564,0.45202088],"study_design_scores_gemma":[0.00079460203,0.00092664355,0.001546521,0.003922743,0.00023451596,0.00045784208,0.00046098474,0.002351936,0.0006733197,0.3310752,0.6573881,0.00016764048],"about_ca_topic_score_codex":0.0027623693,"about_ca_topic_score_gemma":0.0031130088,"teacher_disagreement_score":0.052292842,"about_ca_system_score_codex":0.006030214,"about_ca_system_score_gemma":0.011893972,"threshold_uncertainty_score":0.2765543},"labels":[],"label_agreement":null},{"id":"W4224090826","doi":"10.1089/ipm.09.02.18","title":"Protecting Patient Privacy in Clinical Trials with Artificial Intelligence","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Artificial Intelligence in Healthcare and Education","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":"Medical school; Clinical trial; Download; Artificial intelligence; Informatics; Medical education; Psychology; Medicine; Computer science; Political science; Pathology; World Wide Web; Law","score_opus":0.5744571993922551,"score_gpt":0.5574032148376339,"score_spread":0.01705398455462126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224090826","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":[0.03941372,0.018270873,0.65029645,0.16444275,0.0021075518,0.001153826,0.0012137896,0.0006298841,0.12247123],"genre_scores_gemma":[0.83882266,0.0056826896,0.11184076,0.0313546,0.0035072658,0.0009563091,0.0005331074,0.00016653302,0.0071360795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.74762803,0.21343307,0.008993927,0.007913456,0.019435918,0.0025955134],"domain_scores_gemma":[0.59452564,0.32440513,0.023702476,0.04942007,0.0058159805,0.0021306917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11428295,0.0007856049,0.0024169923,0.0018812706,0.0022472441,0.014727223,0.0027350464,0.008029082,0.005489277],"category_scores_gemma":[0.2548312,0.0014719001,0.0021198562,0.0022209457,0.010621945,0.0125278905,0.006285724,0.009976692,0.0015831867],"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":[0.001768776,0.00023015622,0.011007022,0.0016868766,0.00086766743,0.0012132784,0.00423685,0.010455902,0.0016657411,0.72628,0.025948253,0.21463957],"study_design_scores_gemma":[0.00032159587,0.00032862788,0.0024046092,0.0018004273,0.00044210372,0.0021533102,0.0006578659,0.02474863,0.0048799403,0.88136953,0.08080451,0.00008883489],"about_ca_topic_score_codex":0.0007293928,"about_ca_topic_score_gemma":0.00055521633,"teacher_disagreement_score":0.11428295,"about_ca_system_score_codex":0.0028069695,"about_ca_system_score_gemma":0.0072148885,"threshold_uncertainty_score":0.60439324},"labels":[],"label_agreement":null},{"id":"W4283074804","doi":"10.1089/ipm.09.03.04","title":"Pathology is Poised for the Digital Revolution","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"AI in cancer detection","field":"Computer Science","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":"World Federation of Science Journalists","funders":"","keywords":"Digital pathology; Digital Revolution; Medicine; Computer science; Pathology; Telecommunications","score_opus":0.03084144528261226,"score_gpt":0.2869741492550537,"score_spread":0.2561327039724415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283074804","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004438832,0.109680995,0.020692812,0.71394926,0.01680462,0.000033002205,0.0004202776,0.0006463583,0.13333388],"genre_scores_gemma":[0.33786413,0.17118973,0.035271727,0.2840364,0.068495855,0.00017943876,0.00074116257,0.0010480449,0.1011736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99475384,0.0019214201,0.00018791555,0.00069317,0.0020323042,0.00041134737],"domain_scores_gemma":[0.9743604,0.015978552,0.0013421981,0.0028747453,0.002894784,0.0025493181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010468641,0.0008687128,0.0010985238,0.0027717035,0.0031083447,0.013614341,0.0016200198,0.010095527,0.023756517],"category_scores_gemma":[0.0255295,0.0004786585,0.000757899,0.0025050105,0.020918857,0.021904435,0.0052721607,0.011200073,0.008450864],"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":[0.00011636377,0.000056451623,0.00075713836,0.00047641262,0.000029243152,0.00015360722,0.0009036396,0.00045627003,0.0009340337,0.7121118,0.17650248,0.107502714],"study_design_scores_gemma":[0.000017331431,0.00004346285,0.000626568,0.00042056397,0.000010884952,0.00027847427,0.0006667349,0.00038164694,0.00042638913,0.30912387,0.6879726,0.000031538464],"about_ca_topic_score_codex":0.001665453,"about_ca_topic_score_gemma":0.0010840147,"teacher_disagreement_score":0.023756517,"about_ca_system_score_codex":0.0034075947,"about_ca_system_score_gemma":0.0038923225,"threshold_uncertainty_score":0.079473436},"labels":[],"label_agreement":null},{"id":"W4283079279","doi":"10.1089/ipm.09.03.03","title":"How Digital Pathology is Advancing Biomarker Identification &amp; Drug Discovery","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"AI in cancer detection","field":"Computer Science","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":"CARE Canada","funders":"","keywords":"Digital pathology; Virtual microscopy; Identification (biology); Medicine; Medical physics; Medical education; Pathology","score_opus":0.02410013385189814,"score_gpt":0.28050518822770537,"score_spread":0.25640505437580724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283079279","genre_codex":"commentary","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":[0.019417461,0.1814394,0.18613935,0.40889052,0.015840886,0.0001458576,0.0017888553,0.0033102129,0.18302742],"genre_scores_gemma":[0.41744205,0.22325978,0.16994089,0.09080571,0.03150308,0.00020117652,0.0013054459,0.00083571963,0.06470622],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.995263,0.0016991503,0.0002554035,0.0006200185,0.0019137696,0.00024866115],"domain_scores_gemma":[0.9693338,0.01805073,0.0017792383,0.0036490194,0.005415207,0.0017719391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008232496,0.0010332296,0.000879227,0.0055329422,0.0013913468,0.01401093,0.0015404453,0.005720952,0.017073462],"category_scores_gemma":[0.022588708,0.0007017486,0.0008652659,0.0035171025,0.0066923723,0.017211447,0.003611117,0.004990422,0.0071414467],"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":[0.00021100063,0.00017463016,0.0084773265,0.0016213263,0.00014762183,0.0003034549,0.0005687645,0.0023765073,0.008684045,0.3076066,0.065596856,0.60423195],"study_design_scores_gemma":[0.000045737703,0.00017218382,0.0029573685,0.0010452729,0.00013550122,0.0013297629,0.0007577526,0.0065159756,0.012207206,0.38107124,0.5936322,0.00012976384],"about_ca_topic_score_codex":0.0016968797,"about_ca_topic_score_gemma":0.001685537,"teacher_disagreement_score":0.017073462,"about_ca_system_score_codex":0.0028057767,"about_ca_system_score_gemma":0.0030793473,"threshold_uncertainty_score":0.05711639},"labels":[],"label_agreement":null},{"id":"W4293242848","doi":"10.1089/ipm.09.04.09","title":"Electronic Health Records and Genomic Data – Not Yet a Perfect Match","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","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":"CARE Canada","funders":"","keywords":"Download; Health records; Medical record; Genomic medicine; Health care; Medicine; Library science; Internet privacy; Family medicine; Internal medicine; Computer science; World Wide Web; Biology; Political science; Computational biology","score_opus":0.09667656309303478,"score_gpt":0.31220570532745934,"score_spread":0.21552914223442454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293242848","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030459227,0.060761333,0.08346457,0.7703077,0.010115787,0.00012245153,0.0029181866,0.00031352075,0.04153724],"genre_scores_gemma":[0.72979814,0.049071938,0.05887981,0.12913439,0.018082228,0.0004261003,0.0029192406,0.00041169327,0.011276458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.96290326,0.021762062,0.0024557342,0.0038951023,0.007253742,0.001730153],"domain_scores_gemma":[0.8591879,0.0997808,0.010521574,0.0148053365,0.011107852,0.0045965333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04276437,0.0007050423,0.0024368404,0.0038142402,0.001635494,0.014052478,0.0027674865,0.008333894,0.018650306],"category_scores_gemma":[0.16731869,0.0015044027,0.0009687985,0.006414115,0.010367223,0.0551924,0.008472043,0.0103669185,0.0036624137],"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":[0.00041216193,0.00018876376,0.016603353,0.00092180225,0.00054161646,0.00047887373,0.00070955075,0.002633994,0.00031860676,0.76473147,0.056683592,0.15577613],"study_design_scores_gemma":[0.00011371698,0.0001336218,0.006501577,0.0017270619,0.00011761869,0.00044562697,0.0017610647,0.0027635575,0.00028606012,0.9222443,0.06377868,0.00012724116],"about_ca_topic_score_codex":0.0042010206,"about_ca_topic_score_gemma":0.002424221,"teacher_disagreement_score":0.04276437,"about_ca_system_score_codex":0.00392534,"about_ca_system_score_gemma":0.005147446,"threshold_uncertainty_score":0.22616231},"labels":[],"label_agreement":null},{"id":"W4293242985","doi":"10.1089/ipm.09.04.05","title":"Fighting Antibiotic Resistance with Biology","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","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":"World Federation of Science Journalists","funders":"","keywords":"Antibiotic resistance; Resistance (ecology); Library science; Volume (thermodynamics); Download; Biology; Antibiotics; World Wide Web; Computer science; Microbiology; Physics; Ecology","score_opus":0.013422068271929738,"score_gpt":0.2611564990372676,"score_spread":0.24773443076533788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293242985","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045970723,0.5803098,0.06692523,0.15986875,0.01609829,0.000081354556,0.0001583204,0.00054774026,0.1300398],"genre_scores_gemma":[0.5935037,0.2580605,0.036042165,0.03896837,0.013876163,0.00016273068,0.00010706942,0.00011712246,0.05916221],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992073,0.00022078563,0.000026775013,0.000098011056,0.00036206836,0.00008498879],"domain_scores_gemma":[0.9990478,0.00049428816,0.00013493364,0.000095210766,0.000105661435,0.000122044985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015623606,0.00066845864,0.00059022085,0.0006848798,0.0007828018,0.002597289,0.0004974764,0.0027059026,0.0049763066],"category_scores_gemma":[0.0017269078,0.00028476762,0.00039297497,0.00036587086,0.005035693,0.0041746646,0.0020159963,0.004142168,0.0011641103],"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":[0.00037065908,0.0003125152,0.0018361146,0.0018972495,0.00013194178,0.0004123899,0.00069557887,0.002339157,0.11485484,0.49115855,0.04583738,0.34015366],"study_design_scores_gemma":[0.00007217998,0.00076452654,0.001576116,0.00058059365,0.00006333909,0.0006641315,0.0006814193,0.0023587218,0.030488607,0.28557137,0.677119,0.000059975908],"about_ca_topic_score_codex":0.00024670424,"about_ca_topic_score_gemma":0.00041938218,"teacher_disagreement_score":0.0049763066,"about_ca_system_score_codex":0.0009282141,"about_ca_system_score_gemma":0.00089722354,"threshold_uncertainty_score":0.016647398},"labels":[],"label_agreement":null},{"id":"W4307097512","doi":"10.1089/ipm.09.05.10","title":"Translating the Microbiome","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","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":"World Federation of Science Journalists","funders":"","keywords":"Microbiome; Download; Library science; Gut microbiome; World Wide Web; Biology; Bioinformatics; Computer science","score_opus":0.020294985579319656,"score_gpt":0.29285121252306917,"score_spread":0.27255622694374954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307097512","genre_codex":"commentary","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":[0.016140578,0.30227336,0.024134366,0.54162896,0.041681945,0.000060026876,0.0012531208,0.0006776814,0.07214999],"genre_scores_gemma":[0.42074886,0.27267554,0.026978483,0.19141984,0.04067815,0.00025187727,0.0009254598,0.00070938957,0.04561237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99713135,0.0012975947,0.00010829931,0.0004332468,0.0007561098,0.00027337854],"domain_scores_gemma":[0.993034,0.0036617252,0.0004264571,0.001019462,0.0010598949,0.0007985748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058530145,0.0006941182,0.001095753,0.0014614377,0.001458934,0.006621359,0.0006919318,0.0038501972,0.01434698],"category_scores_gemma":[0.01769771,0.00036636423,0.0005717602,0.00082321663,0.0063549113,0.0068350844,0.005211676,0.006760783,0.0038691205],"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":[0.00042412206,0.0001276322,0.0056842556,0.0017888454,0.0002021619,0.0005410468,0.0025661995,0.0008648056,0.010544357,0.46407667,0.16387394,0.349306],"study_design_scores_gemma":[0.000037900965,0.00011444958,0.0026482162,0.0017148859,0.00006538945,0.0003486358,0.0018492625,0.00039553604,0.0027869293,0.29057044,0.69941497,0.000053303094],"about_ca_topic_score_codex":0.0017352486,"about_ca_topic_score_gemma":0.0017673782,"teacher_disagreement_score":0.01434698,"about_ca_system_score_codex":0.0020422759,"about_ca_system_score_gemma":0.0042889756,"threshold_uncertainty_score":0.047995448},"labels":[],"label_agreement":null},{"id":"W4307137789","doi":"10.1089/ipm.09.05.03","title":"Is Clinical Next-Generation Sequencing on the Cusp of a Revolution?","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","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":"CARE Canada","funders":"","keywords":"Cusp (singularity); Precision medicine; Clinical Oncology; Library science; Medicine; Family medicine; Medical education; Internal medicine; Computer science; Pathology; Mathematics; Cancer","score_opus":0.14602225485714884,"score_gpt":0.34968863021705715,"score_spread":0.2036663753599083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307137789","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001795001,0.1741954,0.013468467,0.78871524,0.015357212,0.0000377733,0.0003458335,0.00034025716,0.0057448386],"genre_scores_gemma":[0.07375167,0.2759763,0.032069545,0.5310715,0.08126544,0.00030486583,0.000988581,0.00040909127,0.004163072],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97360206,0.012160186,0.0016684011,0.0028490708,0.0075002587,0.0022199403],"domain_scores_gemma":[0.7947598,0.15615276,0.004741861,0.008661117,0.020167723,0.015516731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.10238532,0.0016208368,0.005134608,0.0022077437,0.0029552488,0.010871714,0.004846233,0.016066259,0.017846314],"category_scores_gemma":[0.13167945,0.0009821834,0.0021950796,0.002053644,0.01837737,0.032143395,0.0073001506,0.024607284,0.004750445],"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":[0.0014803603,0.00037671323,0.003740202,0.0031240263,0.0003986095,0.00057550723,0.0008005644,0.0025553205,0.0026896845,0.27398607,0.3454902,0.36478266],"study_design_scores_gemma":[0.00022329947,0.00044441535,0.0022005453,0.004281139,0.0002160754,0.0006186125,0.001170192,0.0018229563,0.0008010752,0.5086201,0.47939062,0.00021100076],"about_ca_topic_score_codex":0.0034637034,"about_ca_topic_score_gemma":0.003947756,"teacher_disagreement_score":0.10238532,"about_ca_system_score_codex":0.0050540245,"about_ca_system_score_gemma":0.015069295,"threshold_uncertainty_score":0.54147184},"labels":[],"label_agreement":null},{"id":"W4320030516","doi":"10.1089/ipm.09.06.04","title":"Untangling the Complexities of Single Cell Protein Analysis","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","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":"CARE Canada","funders":"","keywords":"Download; Library science; Medicine; Family medicine; Computer science; World Wide Web","score_opus":0.03476849521877596,"score_gpt":0.29248069921183384,"score_spread":0.2577122039930579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320030516","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":[0.036602154,0.12905073,0.72842294,0.07382714,0.005939847,0.00011084412,0.0006992782,0.0019348298,0.023412226],"genre_scores_gemma":[0.36867958,0.0980354,0.48453712,0.023997055,0.007367432,0.0005065839,0.0006264628,0.0015809956,0.014669349],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948649,0.0016741641,0.0001618877,0.00076779624,0.0023119089,0.00021936727],"domain_scores_gemma":[0.97185427,0.020604597,0.0007091847,0.0039090435,0.0021511586,0.0007717805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0119584445,0.0009427903,0.0022560388,0.0017196431,0.0018264193,0.0058339513,0.0030305912,0.0037586603,0.0039637927],"category_scores_gemma":[0.023094455,0.0010839491,0.0009666414,0.0010707695,0.014183315,0.016692255,0.0053201253,0.013210285,0.0032558043],"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":[0.0004815583,0.00019195104,0.0030611753,0.0029598116,0.00028424367,0.00065575354,0.0028133013,0.0072076097,0.13907388,0.59801936,0.036494505,0.20875685],"study_design_scores_gemma":[0.00003527411,0.000147523,0.001332333,0.0003367401,0.000050646653,0.00082944543,0.0008416215,0.014124333,0.02571648,0.82934237,0.12708226,0.00016097439],"about_ca_topic_score_codex":0.0013323278,"about_ca_topic_score_gemma":0.0028106302,"teacher_disagreement_score":0.0119584445,"about_ca_system_score_codex":0.0018035871,"about_ca_system_score_gemma":0.0022138434,"threshold_uncertainty_score":0.06324309},"labels":[],"label_agreement":null},{"id":"W4365138057","doi":"10.1089/ipm.10.02.08","title":"Genomic Profiling for Lung Cancer: Improving Access to this Important Tool","year":2023,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","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":"CARE Canada","funders":"","keywords":"Lung cancer; Profiling (computer programming); Precision medicine; Download; Medicine; Personalized medicine; Health care; Internal medicine; Oncology; Bioinformatics; Pathology; Computer science; World Wide Web; Biology; Political science","score_opus":0.02572829336250206,"score_gpt":0.34215821365764487,"score_spread":0.31642992029514283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365138057","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045884885,0.41961226,0.30918202,0.16346037,0.004914389,0.00028083244,0.01018785,0.006672856,0.03980459],"genre_scores_gemma":[0.4254966,0.25644702,0.2116062,0.06799083,0.012651784,0.00043483835,0.0087263975,0.0017331573,0.01491317],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972633,0.00092927093,0.0001499238,0.00055357185,0.0008659403,0.00023803301],"domain_scores_gemma":[0.9904947,0.0048731077,0.0007450107,0.0012671488,0.0019353986,0.00068457035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049837567,0.00081441866,0.0017710633,0.0025951874,0.0004495742,0.003709138,0.001450441,0.0022726853,0.0095788725],"category_scores_gemma":[0.010721918,0.00054360746,0.0008312284,0.0014775103,0.0011017874,0.0030515073,0.002380384,0.0036817854,0.0033541466],"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":[0.00083417917,0.00023537363,0.040262833,0.0026616289,0.00045207018,0.0005634077,0.00042274463,0.0019385346,0.11100227,0.019923795,0.081711605,0.73999155],"study_design_scores_gemma":[0.00021539387,0.0011762277,0.0804683,0.0024936458,0.0010917719,0.007486662,0.0010142889,0.008430108,0.07472207,0.091822036,0.7307542,0.00032538272],"about_ca_topic_score_codex":0.0016698423,"about_ca_topic_score_gemma":0.002334323,"teacher_disagreement_score":0.0095788725,"about_ca_system_score_codex":0.0010329,"about_ca_system_score_gemma":0.0013045998,"threshold_uncertainty_score":0.03204453},"labels":[],"label_agreement":null},{"id":"W4379742689","doi":"10.1089/ipm.10.03.04","title":"One and Done? How CRISPR Is Changing the Clinical Outlook for Multiple Diseases","year":2023,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","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":"CARE Canada","funders":"","keywords":"CRISPR; Download; Medicine; Clinical microbiology; Family medicine; Internal medicine; Library science; Gerontology; Computer science; World Wide Web; Biology; Genetics","score_opus":0.05277204017940281,"score_gpt":0.39141394018710784,"score_spread":0.33864190000770505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379742689","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00464088,0.22283414,0.034196254,0.69399834,0.02738028,0.00003448434,0.00022775732,0.00072298414,0.015964897],"genre_scores_gemma":[0.16659196,0.3305658,0.05626876,0.3787669,0.04299137,0.00017735311,0.0003194748,0.0009235864,0.023394872],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9937058,0.0024935817,0.00036544865,0.00087717676,0.0018556706,0.0007023925],"domain_scores_gemma":[0.98710793,0.0065174876,0.0006736503,0.0013954298,0.0021903794,0.0021151234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01752868,0.00094149134,0.001910086,0.0013652042,0.0019426858,0.008771498,0.0016480036,0.006084696,0.0068330877],"category_scores_gemma":[0.014512087,0.0005999314,0.0010146067,0.0006912641,0.010379347,0.012980585,0.003646893,0.017386617,0.00245072],"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":[0.0008520227,0.000242379,0.0025861035,0.0021786771,0.00042867198,0.0020091098,0.0015877658,0.0015336057,0.015972868,0.29279962,0.20788682,0.47192237],"study_design_scores_gemma":[0.00014528939,0.00034678518,0.0011250873,0.001531702,0.00022603694,0.003187521,0.0017330042,0.000958112,0.0051246863,0.28772935,0.6976756,0.0002167859],"about_ca_topic_score_codex":0.0015684547,"about_ca_topic_score_gemma":0.0032975744,"teacher_disagreement_score":0.01752868,"about_ca_system_score_codex":0.0023608778,"about_ca_system_score_gemma":0.0045189043,"threshold_uncertainty_score":0.09270167},"labels":[],"label_agreement":null},{"id":"W4386003474","doi":"10.1089/ipm.10.04.04","title":"Are We Nearly There Yet? Oncolytic Virus Immunotherapy Inches Toward the Clinic","year":2023,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","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":"CARE Canada","funders":"","keywords":"Oncolytic virus; Immunotherapy; Medicine; Download; Virus; Internal medicine; Family medicine; Library science; Virology; Computer science; Cancer; World Wide Web","score_opus":0.09305468244663781,"score_gpt":0.38984441914013285,"score_spread":0.29678973669349507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386003474","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008156916,0.44343072,0.015922029,0.48208728,0.029284336,0.000057949408,0.0002755649,0.0005500048,0.020235315],"genre_scores_gemma":[0.19875872,0.40883264,0.02050356,0.28375193,0.040209927,0.00030612218,0.0004691092,0.0004967574,0.04667126],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978217,0.0007306706,0.00010985178,0.00029775104,0.00068445,0.0003555354],"domain_scores_gemma":[0.99461323,0.0028085671,0.00039154722,0.0003655367,0.00092696684,0.0008941407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010032738,0.0007789581,0.0017771983,0.0007217832,0.0023176498,0.0072201816,0.0010687322,0.005126754,0.0140687395],"category_scores_gemma":[0.0074236663,0.00046344922,0.0007188873,0.0005501476,0.00691471,0.01899751,0.0031975491,0.015059841,0.005357205],"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":[0.0014347158,0.00052132615,0.0021790985,0.0018400556,0.00021812784,0.00055473816,0.001238012,0.0009983007,0.019799095,0.2720514,0.28321916,0.415946],"study_design_scores_gemma":[0.00013386806,0.0006750836,0.00076447224,0.0008232367,0.000095362935,0.00058087864,0.0014503157,0.0006048523,0.0042836387,0.17599526,0.8144909,0.0001021762],"about_ca_topic_score_codex":0.00096346106,"about_ca_topic_score_gemma":0.0019148025,"teacher_disagreement_score":0.0140687395,"about_ca_system_score_codex":0.0018986543,"about_ca_system_score_gemma":0.0033360207,"threshold_uncertainty_score":0.053058863},"labels":[],"label_agreement":null},{"id":"W4386003490","doi":"10.1089/ipm.10.04.13","title":"Stories from the Front Lines—Precision Medicine in Practice","year":2023,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","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":"Workgroup; Precision medicine; Genomics; Medical genetics; Health informatics; Medicine; Medical education; Library science; Computer science; Genetics; Genome; Biology; Nursing; Public health; Pathology","score_opus":0.027465501341133333,"score_gpt":0.32955633632777914,"score_spread":0.3020908349866458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386003490","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008831817,0.029144429,0.0021806352,0.95271456,0.00533551,0.000008318202,0.000053662552,0.000040455503,0.009639176],"genre_scores_gemma":[0.12403542,0.052612424,0.0046612434,0.7703172,0.034508288,0.00012851045,0.00012826777,0.00033704258,0.013271607],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9656236,0.020362804,0.0012727219,0.0019549383,0.009027456,0.0017585],"domain_scores_gemma":[0.8861477,0.082622536,0.0054273773,0.0050995606,0.0097870715,0.010915743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034818042,0.0012830312,0.0017448558,0.0016064384,0.008157221,0.018396037,0.002149517,0.017888479,0.014141707],"category_scores_gemma":[0.111763135,0.0008168638,0.00079035613,0.0017792917,0.036219705,0.041281667,0.0133498525,0.047342703,0.004927738],"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":[0.00017559166,0.00007544631,0.0012940128,0.00076796033,0.000096762335,0.0010807036,0.015961273,0.00027432523,0.00049338647,0.28232643,0.62280303,0.07465114],"study_design_scores_gemma":[0.00006427082,0.00005380249,0.0006927932,0.0017622007,0.000031297386,0.0011767925,0.012025677,0.000270155,0.00032130323,0.27660087,0.70692456,0.000076225646],"about_ca_topic_score_codex":0.0026758004,"about_ca_topic_score_gemma":0.002656869,"teacher_disagreement_score":0.034818042,"about_ca_system_score_codex":0.00585848,"about_ca_system_score_gemma":0.007896103,"threshold_uncertainty_score":0.18413758},"labels":[],"label_agreement":null},{"id":"W4390414658","doi":"10.1089/ipm.10.06.14","title":"Stories <i>from the</i> Front Lines","year":2023,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Health and Medical Research Impacts","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":"Workgroup; Genomics; Precision medicine; Health informatics; Medical genetics; Library science; Medicine; Medical education; Computer science; Genetics; Genome; Biology; Nursing; Public health; Pathology","score_opus":0.25243280759953957,"score_gpt":0.4751708387728113,"score_spread":0.22273803117327173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390414658","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019085334,0.0065307985,0.0012001126,0.89118373,0.018753452,0.000012260934,0.00016725667,0.00008148268,0.080162406],"genre_scores_gemma":[0.121044904,0.009412246,0.001600328,0.71987003,0.03466988,0.000101855105,0.00030247853,0.0008171938,0.1121811],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98661137,0.006985211,0.00028832632,0.0006470422,0.0040478185,0.0014202723],"domain_scores_gemma":[0.9538015,0.031152766,0.0025049224,0.002319765,0.0047301003,0.0054908916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010808666,0.0011431592,0.00064906664,0.0018477787,0.0108045675,0.020450942,0.002051786,0.013896132,0.031919744],"category_scores_gemma":[0.052477177,0.0006088008,0.00084220205,0.0019870175,0.021708086,0.02978566,0.010691256,0.03251034,0.00953682],"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":[0.000035832883,0.000016527349,0.00030437217,0.00013051667,0.000015456748,0.00039617682,0.01599875,0.000035396577,0.00019284846,0.12182538,0.8497534,0.011295352],"study_design_scores_gemma":[0.000007765057,0.000008250259,0.0002111151,0.0002577137,0.000005420589,0.00029172888,0.015078245,0.000037762624,0.00014886276,0.027881116,0.9560513,0.000020789865],"about_ca_topic_score_codex":0.004356635,"about_ca_topic_score_gemma":0.0051458175,"teacher_disagreement_score":0.031919744,"about_ca_system_score_codex":0.0049367924,"about_ca_system_score_gemma":0.0033972808,"threshold_uncertainty_score":0.1067822},"labels":[],"label_agreement":null},{"id":"W4390414663","doi":"10.1089/ipm.10.06.05","title":"Putting Zebras in Plain Sight: A Focus on Ehlers-Danlos Syndrome","year":2023,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","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":"CARE Canada","funders":"","keywords":"Sight; Focus (optics); Ehlers–Danlos syndrome; Medicine; Download; Family medicine; General surgery; Ophthalmology; Surgery; Computer science; Physics; World Wide Web; Optics","score_opus":0.03825735489060759,"score_gpt":0.3411259933596025,"score_spread":0.30286863846899487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390414663","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063376734,0.88173693,0.0015322469,0.09494569,0.0068055815,0.000008412302,0.00008305029,0.00004385877,0.008506592],"genre_scores_gemma":[0.050357144,0.8728145,0.001989137,0.04477796,0.02479018,0.000026160442,0.00009992789,0.00006350368,0.005081438],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851996,0.0005227685,0.00016930456,0.00027163557,0.0003487474,0.00016756685],"domain_scores_gemma":[0.99666995,0.002260232,0.00022397669,0.00010612247,0.00044709918,0.0002926583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021374146,0.0008085581,0.0016467739,0.0023214149,0.0011551027,0.003389081,0.0010159469,0.0047076573,0.0035507577],"category_scores_gemma":[0.0054637888,0.0003059682,0.00076441176,0.0016911573,0.0051716133,0.0049553043,0.0029043134,0.005433644,0.00073285244],"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":[0.00059332926,0.00018494618,0.0075062634,0.0075399484,0.00029821927,0.0048967646,0.0046248566,0.0005930917,0.003996248,0.13047737,0.10057615,0.7387129],"study_design_scores_gemma":[0.000095954856,0.00027741503,0.009587885,0.0128584495,0.00024671355,0.018292282,0.0077404478,0.00028716578,0.0011395591,0.08204977,0.8672869,0.00013757803],"about_ca_topic_score_codex":0.004706353,"about_ca_topic_score_gemma":0.0068947747,"teacher_disagreement_score":0.0047076573,"about_ca_system_score_codex":0.0018519467,"about_ca_system_score_gemma":0.0028453008,"threshold_uncertainty_score":0.013436854},"labels":[],"label_agreement":null},{"id":"W4407802487","doi":"10.1089/ipm.12.01.08","title":"Population Proteomics: A New Frontier for Precision Medicine","year":2025,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","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":"Optech (Canada)","funders":"","keywords":"Frontier; Proteomics; Population; Precision medicine; Data science; Computer science; Computational biology; Geography; Medicine; Biology; Environmental health; Pathology; Archaeology; Genetics","score_opus":0.023384912934318717,"score_gpt":0.3440043028622636,"score_spread":0.32061938992794486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407802487","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":[0.0070516756,0.41168842,0.48999876,0.05410999,0.008309403,0.00012289899,0.00075149396,0.0016107677,0.026356589],"genre_scores_gemma":[0.17330411,0.40110865,0.33311757,0.03581297,0.03807411,0.0004101306,0.0008830118,0.00077505066,0.016514508],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958209,0.0014370779,0.00012343153,0.0008204818,0.0015772664,0.00022071767],"domain_scores_gemma":[0.9929502,0.004091482,0.00044870534,0.0008969653,0.0010593405,0.00055334525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008741727,0.0016282628,0.003102592,0.003298366,0.0012835047,0.007163775,0.0025506103,0.004105823,0.005776228],"category_scores_gemma":[0.008651585,0.0006821468,0.001059536,0.0026801915,0.0062953494,0.010855046,0.00419121,0.00865832,0.002807351],"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":[0.00025997657,0.00017135046,0.0024048681,0.0025297897,0.00022381383,0.00027886228,0.00041054335,0.0018455742,0.028235806,0.5847067,0.05230863,0.3266241],"study_design_scores_gemma":[0.000059621354,0.00033465272,0.0014514953,0.0005843699,0.00008135746,0.00094600546,0.00028493322,0.0061110314,0.011350994,0.6734835,0.30515367,0.00015841666],"about_ca_topic_score_codex":0.0007026554,"about_ca_topic_score_gemma":0.00061580667,"teacher_disagreement_score":0.008741727,"about_ca_system_score_codex":0.0022096352,"about_ca_system_score_gemma":0.0032229512,"threshold_uncertainty_score":0.04623121},"labels":[],"label_agreement":null},{"id":"W4409159437","doi":"10.1089/ipm.12.02.03","title":"Knocking Down Barriers to Precision Oncology with Companion Diagnostics","year":2025,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","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":"Optech (Canada)","funders":"","keywords":"Precision oncology; Medical physics; Medicine; Internal medicine; Oncology; Cancer","score_opus":0.011035647157348782,"score_gpt":0.30143123185796633,"score_spread":0.29039558470061755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409159437","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07200075,0.2730159,0.23597756,0.2825739,0.011841261,0.00030345775,0.0013327544,0.0033070797,0.11964741],"genre_scores_gemma":[0.70970124,0.10659121,0.08408012,0.05568722,0.0088743605,0.0005513336,0.0010182722,0.00093876186,0.032557517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958477,0.0012813126,0.00016649338,0.0005283137,0.0016267279,0.0005494442],"domain_scores_gemma":[0.9882287,0.0067094425,0.0011082009,0.0015112485,0.0013739199,0.0010684476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068167164,0.00079813116,0.0013590934,0.0009411662,0.0010607996,0.0056679677,0.0016329328,0.0035060232,0.014450148],"category_scores_gemma":[0.01631399,0.00066281145,0.0008650108,0.00059331756,0.0046497905,0.0085748825,0.005328767,0.009727162,0.00459587],"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":[0.000763565,0.0003777033,0.0030166118,0.0020495674,0.0002453032,0.00060944236,0.00093023386,0.002963126,0.06796188,0.6164462,0.07218645,0.23244989],"study_design_scores_gemma":[0.00012562677,0.0007486633,0.0017263059,0.0009654081,0.00012379038,0.0013905754,0.00063432945,0.0036560902,0.038133293,0.3678912,0.5845142,0.00009050264],"about_ca_topic_score_codex":0.0005925665,"about_ca_topic_score_gemma":0.0005696779,"teacher_disagreement_score":0.014450148,"about_ca_system_score_codex":0.00205338,"about_ca_system_score_gemma":0.0023839716,"threshold_uncertainty_score":0.04834062},"labels":[],"label_agreement":null},{"id":"W4411174217","doi":"10.1089/ipm.12.03.04","title":"Navigating Emerging Challenges in Clinical Trial Design","year":2025,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","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":"Optech (Canada)","funders":"","keywords":"Clinical trial; Medicine; Internal medicine","score_opus":0.7511919838431712,"score_gpt":0.5819243652643701,"score_spread":0.16926761857880113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411174217","genre_codex":"commentary","genre_gemma":"methods","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045502996,0.11618201,0.25855702,0.6070826,0.006738819,0.0008727131,0.00060844776,0.00029843458,0.005109639],"genre_scores_gemma":[0.19750945,0.057853382,0.54069513,0.16018666,0.032523394,0.008163637,0.0006776246,0.0006238761,0.0017668358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.4478217,0.5036662,0.019035585,0.009335102,0.018352874,0.0017886051],"domain_scores_gemma":[0.052978806,0.91179997,0.00884692,0.010976699,0.0125352815,0.0028623634],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.65122825,0.0020319936,0.008848572,0.00468712,0.002857765,0.016288038,0.007685498,0.0143557275,0.009585194],"category_scores_gemma":[0.80853134,0.0030445592,0.0034118777,0.0049104798,0.024802955,0.023147333,0.011086527,0.027510064,0.0021815412],"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":[0.0030604885,0.0005275105,0.013701273,0.013537483,0.003568191,0.0005175251,0.0035889447,0.023549294,0.00042287653,0.43098935,0.07877989,0.42775708],"study_design_scores_gemma":[0.001156872,0.00038862752,0.0013366222,0.0040568803,0.00047834998,0.00023097501,0.0005882287,0.015900848,0.00014626408,0.9415921,0.034011412,0.000112793576],"about_ca_topic_score_codex":0.005310752,"about_ca_topic_score_gemma":0.008733454,"teacher_disagreement_score":0.34877175,"about_ca_system_score_codex":0.008762577,"about_ca_system_score_gemma":0.031582914,"threshold_uncertainty_score":0.4300977},"labels":[],"label_agreement":null},{"id":"W4413195264","doi":"10.1089/ipm.12.04.06","title":"From Microscopes to Computers: Reaching an Inflection Point in Digital Pathology","year":2025,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"AI in cancer detection","field":"Computer Science","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":"Optech (Canada)","funders":"","keywords":"Inflection point; Digital pathology; Inflection; Point (geometry); Digital microscope; Microscope; Computer science; Computer graphics (images); Pathology; Artificial intelligence; Medicine; Mathematics; Geometry","score_opus":0.018981939263758605,"score_gpt":0.3157595855315894,"score_spread":0.29677764626783076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413195264","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028211089,0.05979271,0.6123228,0.1633694,0.0043040025,0.00018149045,0.00048119616,0.0031392074,0.12819816],"genre_scores_gemma":[0.4138453,0.039889593,0.4560289,0.034406338,0.004119292,0.00040124662,0.00038434213,0.0021756594,0.048749253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99180335,0.0027826421,0.00043952884,0.0011796316,0.003453376,0.00034149562],"domain_scores_gemma":[0.9595084,0.02921552,0.0012514782,0.0035399639,0.0054105534,0.0010740609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008188096,0.001274625,0.0010144395,0.004169571,0.0029652512,0.011617796,0.0037399319,0.008114075,0.01741654],"category_scores_gemma":[0.050394125,0.0013142226,0.0010734955,0.002281976,0.016565066,0.025101773,0.0087346425,0.010096061,0.0084855445],"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":[0.00033009346,0.00009165648,0.002527452,0.0010366812,0.00006759602,0.00030222116,0.0036075527,0.0047034533,0.0060377577,0.6049932,0.035414454,0.3408879],"study_design_scores_gemma":[0.000045699842,0.00020622603,0.0013286629,0.00107581,0.00004481298,0.0009629751,0.001992508,0.015044967,0.010473217,0.7649637,0.20371573,0.00014573982],"about_ca_topic_score_codex":0.004554107,"about_ca_topic_score_gemma":0.0034035456,"teacher_disagreement_score":0.01741654,"about_ca_system_score_codex":0.0044328813,"about_ca_system_score_gemma":0.0022045684,"threshold_uncertainty_score":0.058264136},"labels":[],"label_agreement":null},{"id":"W7092290028","doi":"10.1089/ipm.12.05.02","title":"Charting a Path to the Right Diagnosis with AI Copilots","year":2025,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Inorganic Chemistry and Materials","field":"Chemistry","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":"Optech (Canada)","funders":"","keywords":"Path (computing); Window (computing); Noise (video); Key (lock); Feature (linguistics)","score_opus":0.010168132539566086,"score_gpt":0.2726253500450996,"score_spread":0.26245721750553347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092290028","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008605474,0.082318455,0.34219834,0.406163,0.021162694,0.00060690305,0.0016016136,0.005492167,0.13185135],"genre_scores_gemma":[0.17407794,0.07189602,0.5606984,0.10732654,0.014313468,0.00089179305,0.0018406054,0.002720451,0.06623482],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960775,0.0012296716,0.00026733446,0.0005189684,0.0014929472,0.00041365984],"domain_scores_gemma":[0.9886613,0.005920062,0.0007348657,0.0008579743,0.002501229,0.0013247139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059363316,0.0010999475,0.0011876746,0.0020107008,0.0025217982,0.008210155,0.0023501453,0.0053403093,0.024126016],"category_scores_gemma":[0.01986526,0.0008286842,0.0012954947,0.0009831655,0.0039141187,0.008771577,0.004075749,0.012415175,0.014888862],"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":[0.0010524832,0.0003132376,0.0036640717,0.0015803471,0.00015182164,0.0041101472,0.0008521407,0.0027174111,0.012574082,0.17594106,0.3081255,0.48891768],"study_design_scores_gemma":[0.00016226963,0.00047441333,0.0007630784,0.0018353991,0.000106346575,0.0042704167,0.0008093142,0.004109617,0.01788303,0.20560607,0.7637778,0.00020228184],"about_ca_topic_score_codex":0.003443866,"about_ca_topic_score_gemma":0.005533973,"teacher_disagreement_score":0.024126016,"about_ca_system_score_codex":0.0021617303,"about_ca_system_score_gemma":0.0059560216,"threshold_uncertainty_score":0.08070958},"labels":[],"label_agreement":null},{"id":"W7116085393","doi":"10.1089/ipm.12.06.15","title":"Inside the Virtual Cell: New Depths for Precision Medicine","year":2025,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","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":"Optech (Canada)","funders":"","keywords":"Precision medicine; Feature (linguistics); Noise (video); Matching (statistics)","score_opus":0.023069200742984065,"score_gpt":0.29355986201897516,"score_spread":0.2704906612759911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116085393","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":[0.015638437,0.15222202,0.650076,0.07234558,0.013768628,0.000118605545,0.0009974039,0.004100693,0.09073265],"genre_scores_gemma":[0.41973996,0.095125586,0.38106453,0.03736456,0.012245994,0.00047921384,0.00083082553,0.0022086615,0.050940704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997707,0.00070536166,0.00006449178,0.00030024504,0.0010025107,0.00022036015],"domain_scores_gemma":[0.99385554,0.003524291,0.00018772598,0.0009677753,0.0006584063,0.000806301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047941543,0.0012290371,0.0017717531,0.0015039021,0.0015958445,0.009868848,0.0028338258,0.0056961253,0.018407604],"category_scores_gemma":[0.006854998,0.00082648086,0.0011150222,0.0008221451,0.00882807,0.01882147,0.009543074,0.008069423,0.0038092104],"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":[0.00041834073,0.00011208379,0.0009158055,0.0011935605,0.0001378432,0.00041983448,0.0019976764,0.0051153116,0.032448582,0.65707445,0.08400349,0.21616302],"study_design_scores_gemma":[0.0000675284,0.00020410997,0.00044476482,0.00045677478,0.00005882371,0.0007070248,0.001096319,0.007328221,0.008980527,0.4746451,0.5058465,0.00016431711],"about_ca_topic_score_codex":0.0007818379,"about_ca_topic_score_gemma":0.00089149317,"teacher_disagreement_score":0.018407604,"about_ca_system_score_codex":0.0018068693,"about_ca_system_score_gemma":0.0018881658,"threshold_uncertainty_score":0.061579585},"labels":[],"label_agreement":null}]}