{"id":"W3169912983","doi":"10.1093/ije/dyab033","title":"Data Resource Profile: Better Outcomes Registry & Network (BORN) Ontario","year":2021,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"North York General Hospital; Newborn Screening Ontario; University of Toronto; Agricultural Research Institute of Ontario; University of Ottawa; Children's Hospital of Eastern Ontario; Ottawa Hospital","funders":"","keywords":"Medicine; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00161077,0.0006129643,0.001022086,0.004484131,0.001864603,0.002877594,0.001586207,0.0006312155,0.1255099],"category_scores_gemma":[0.01357276,0.0007126311,0.0006389773,0.01168136,0.0004109141,0.001224088,0.001855964,0.0007560984,0.03464366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01509794,"about_ca_system_score_gemma":0.061685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9325606,"about_ca_topic_score_gemma":0.9609075,"domain_scores_codex":[0.9982979,0.0001348614,0.0002768266,0.000228498,0.0006547348,0.000407212],"domain_scores_gemma":[0.979894,0.001439159,0.002425419,0.001495037,0.01132446,0.00342189],"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":[0.0001338374,0.00002894443,0.02446616,0.0002906776,0.00002994476,0.00003844766,0.0001323925,0.0001944619,0.0000981685,0.0009272217,0.9579537,0.01570611],"study_design_scores_gemma":[0.0004615417,0.00004274594,0.1399234,0.0004779764,0.0001150077,0.000130959,0.000494241,0.001201851,0.0005285075,0.001376385,0.8551477,0.00009966947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003391947,0.0001262072,0.0006934647,0.001067929,0.00006908576,0.0003753051,0.9705155,0.000761121,0.02299943],"genre_scores_gemma":[0.03957622,0.00104866,0.007208826,0.001409225,0.0001937202,0.001820512,0.8745322,0.00136698,0.07284366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1255099,"threshold_uncertainty_score":0.4198723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3787834176846707,"score_gpt":0.4747183709715834,"score_spread":0.0959349532869127,"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."}}