{"id":"W4245756191","doi":"10.1503/cmaj.060246","title":"Corrections","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Information retrieval; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006653935,0.001800727,0.001391115,0.005013977,0.003313263,0.004536089,0.003885689,0.004980357,0.2821328],"category_scores_gemma":[0.1238425,0.000783338,0.001938616,0.002799211,0.001952215,0.002995899,0.002341262,0.007603469,0.1508944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005620753,"about_ca_system_score_gemma":0.006575677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060169,"about_ca_topic_score_gemma":0.02311764,"domain_scores_codex":[0.9889113,0.002408232,0.001246407,0.001290299,0.005323142,0.0008206316],"domain_scores_gemma":[0.9184852,0.0152281,0.002592963,0.004197995,0.0575515,0.001944216],"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":[0.00001357479,0.000001824729,0.00002642069,0.00003784437,0.000002291313,0.00004202791,0.00002930355,0.000011761,0.00001907051,0.0009502019,0.9945614,0.004304239],"study_design_scores_gemma":[0.00001331195,0.000005996139,0.0001990605,0.0001317812,0.000006268499,0.0001189619,0.00005035289,0.00004118216,0.00006265329,0.001035001,0.9983223,0.0000130677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002606063,0.001395915,0.002789583,0.1616504,0.7953703,0.0001223417,0.006670462,0.002164432,0.029576],"genre_scores_gemma":[0.01323724,0.00385833,0.009377518,0.1714925,0.1740128,0.0005087171,0.01265671,0.006454759,0.6084014],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2821328,"threshold_uncertainty_score":0.9438282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004282037951926393,"score_gpt":0.2225822764988883,"score_spread":0.2183002385469619,"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."}}