{"id":"W6906459586","doi":"10.17605/osf.io/ubzn2","title":"Canadian data source identification and evaluation datasets","year":2022,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Data source; Data collection; Health data; Information source (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007389799,0.001780887,0.001457771,0.01833328,0.006806503,0.004411495,0.004532797,0.001289868,0.06768646],"category_scores_gemma":[0.05910057,0.001043494,0.001414101,0.0404752,0.001217823,0.001367079,0.003487189,0.002286409,0.02255357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05099623,"about_ca_system_score_gemma":0.1644574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9828345,"about_ca_topic_score_gemma":0.9848092,"domain_scores_codex":[0.9864249,0.001229097,0.00135715,0.001259921,0.007921256,0.001807677],"domain_scores_gemma":[0.9225672,0.006551408,0.002445403,0.006583199,0.05797982,0.003873043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001372549,0.00003835934,0.002843421,0.0005413883,0.00004600414,0.00004937864,0.0001939527,0.0005365445,0.0001510731,0.003427838,0.9825362,0.009498649],"study_design_scores_gemma":[0.0001900971,0.00002096646,0.02418958,0.0005999381,0.0000956741,0.00007087662,0.0005812321,0.0009236803,0.0008019293,0.001040551,0.9713537,0.0001318898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001012439,0.000092808,0.0004068173,0.0003027859,0.00004059344,0.0003450807,0.9903917,0.0002858884,0.007121784],"genre_scores_gemma":[0.00451837,0.0002587491,0.002874319,0.0001548893,0.00001654304,0.0008906455,0.9861168,0.0002190651,0.004950516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06768646,"threshold_uncertainty_score":0.3700052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1907930457884911,"score_gpt":0.4399698774696582,"score_spread":0.2491768316811671,"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."}}