{"id":"W7100828075","doi":"","title":"Core Competencies for Public Health Epidemiologists in Ontario Background and technical material:","year":2005,"lang":"en","type":"article","venue":"","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Core competency; Work (physics); Core (optical fiber); Epidemiology; MEDLINE","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":[0.004397799,0.0002979104,0.0002004409,0.002757691,0.005102664,0.001974244,0.001420879,0.0009376464,0.01791425],"category_scores_gemma":[0.01157124,0.00048496,0.0002268205,0.00252956,0.001168175,0.001043164,0.002951282,0.001057609,0.001595604],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07678292,"about_ca_system_score_gemma":0.2751106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9287493,"about_ca_topic_score_gemma":0.977538,"domain_scores_codex":[0.9968323,0.000409819,0.0002285735,0.000205801,0.001169513,0.001153916],"domain_scores_gemma":[0.9746728,0.00201369,0.001441016,0.0003767093,0.006307352,0.0151884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000373794,0.0009078573,0.3331487,0.002877842,0.00002809087,0.00195302,0.06026796,0.0006520577,0.00392136,0.007332972,0.3105924,0.2779439],"study_design_scores_gemma":[0.00007645871,0.0001736173,0.6089854,0.0009448182,0.00001731022,0.0003378223,0.02267946,0.0003180265,0.0006689823,0.001146807,0.3645997,0.00005156865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6262673,0.009318165,0.002093087,0.1434986,0.001422612,0.003043975,0.01279127,0.0005301955,0.201035],"genre_scores_gemma":[0.8565193,0.009246416,0.007364227,0.01119408,0.0004611737,0.001508895,0.003970407,0.0001137948,0.1096217],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9232171,"threshold_uncertainty_score":0.5571017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5064443184599626,"score_gpt":0.5307715775159625,"score_spread":0.02432725905599986,"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."}}