{"id":"W3092707675","doi":"10.1136/bmjopen-2020-037222","title":"Cohort profile: the Alberta Prostate Cancer Research Initiative (APCaRI) Registry and Biorepository facilitates technology translation to the clinic through the use of linked, longitudinal clinical and patient-reported data and biospecimens from men in Alberta, Canada","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Prostate Cancer Canada; Alberta Cancer Foundation; Movember Foundation","keywords":"Biorepository; Medicine; Prostate cancer; Cancer registry; Biobank; Prostatectomy; Cohort; MEDLINE; Population; Cancer; Family medicine; Internal medicine; Bioinformatics; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00661289,0.0006316316,0.0005048828,0.002778239,0.00279481,0.001746233,0.002225777,0.0005196245,0.009113163],"category_scores_gemma":[0.008039874,0.0004158466,0.0007459632,0.00520066,0.0005150906,0.0004299464,0.001625798,0.001011677,0.002322617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006478002,"about_ca_system_score_gemma":0.02262235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8135377,"about_ca_topic_score_gemma":0.8868735,"domain_scores_codex":[0.9957711,0.0005856195,0.0002690069,0.0006854784,0.002126205,0.0005625143],"domain_scores_gemma":[0.9920729,0.0003050683,0.001002451,0.001314489,0.004377946,0.0009272518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007008618,0.0001706736,0.834465,0.0002158225,0.0002384466,0.0001834917,0.0007387283,0.0006849411,0.0008514943,0.001868397,0.131844,0.02803809],"study_design_scores_gemma":[0.0002621072,0.0001699172,0.9265991,0.0002709346,0.0001698843,0.0003420237,0.0006232875,0.00144921,0.0006763357,0.0005281009,0.06885085,0.00005821169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3901422,0.00189947,0.02139604,0.003417133,0.0005999426,0.01012524,0.5267419,0.001335183,0.0443429],"genre_scores_gemma":[0.6195596,0.001374639,0.02857675,0.002551407,0.000315626,0.009613751,0.305434,0.0003655117,0.03220879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1864623,"threshold_uncertainty_score":0.3751208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3340373065543146,"score_gpt":0.4586276933800303,"score_spread":0.1245903868257157,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}