{"id":"W3105325997","doi":"10.1136/bmjopen-2020-038119","title":"Cohort profile: The Forzani & MacPhail Colon Cancer Screening Centre biorepository, Calgary, Alberta","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Alberta Health Services; University of Calgary","funders":"University of Calgary; Alberta Innovates; Fondation pour la Recherche Médicale; Canadian Institutes of Health Research; Alberta Cancer Foundation; Alberta Health Services","keywords":"Medicine; Biorepository; Colorectal cancer; Epidemiology; Cohort study; Cohort; Cancer; Gerontology; Family medicine; Internal medicine; Oncology; Biobank; Bioinformatics","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":[0.001553121,0.0007009095,0.0004925616,0.00203276,0.002124191,0.001287946,0.001577231,0.0006333771,0.07275918],"category_scores_gemma":[0.003121673,0.0005179417,0.0003811994,0.001943497,0.0002851901,0.0002895788,0.001202139,0.0006960771,0.01857442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006052982,"about_ca_system_score_gemma":0.01330969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7033217,"about_ca_topic_score_gemma":0.8067617,"domain_scores_codex":[0.9992992,0.00007061541,0.0000287459,0.0001906687,0.0002262984,0.0001845274],"domain_scores_gemma":[0.9968134,0.0001712255,0.0001568737,0.0003224477,0.001343164,0.001192957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001605178,0.0003444725,0.3726248,0.0003517124,0.0000891329,0.0009564739,0.0008447653,0.0003841831,0.0030261,0.0008054395,0.5187923,0.1001755],"study_design_scores_gemma":[0.000465063,0.00038438,0.7479586,0.0003752674,0.00009795509,0.0006577701,0.001206741,0.0008282948,0.0009216156,0.0005111173,0.2465194,0.00007378231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.22509,0.003824369,0.008856885,0.007226421,0.001261856,0.008606504,0.5931875,0.002798276,0.1491482],"genre_scores_gemma":[0.3264237,0.003714162,0.01790085,0.004549319,0.0006075488,0.005685584,0.1854659,0.001202894,0.45445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2966783,"threshold_uncertainty_score":0.596851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07786831271547719,"score_gpt":0.3733983046453023,"score_spread":0.2955299919298252,"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."}}