{"id":"W7098314096","doi":"","title":"Printed in Great Britain An 'Electronic ' Extramural Course in Epidemiology and Medical Statistics","year":2016,"lang":"en","type":"article","venue":"","topic":"Civil and Structural Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epidemiology; Course (navigation); Nova scotia; Medical statistics; 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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001015185,0.001321264,0.001422945,0.001561447,0.001022301,0.004041673,0.0009671864,0.001692749,0.8847532],"category_scores_gemma":[0.006661137,0.0005723594,0.0006008332,0.001176931,0.001444112,0.001696473,0.001856693,0.002575433,0.8388342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882309,"about_ca_system_score_gemma":0.001487869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028146,"about_ca_topic_score_gemma":0.02329413,"domain_scores_codex":[0.9993082,0.00004855796,0.00005437975,0.0001436457,0.0003380203,0.0001072465],"domain_scores_gemma":[0.9937043,0.001211694,0.0002131719,0.0004951938,0.003124897,0.001250699],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003898867,0.00001133241,0.00008437616,0.00006196484,0.000002858558,0.00004288002,0.00001095047,0.00003996137,0.0002169419,0.0004995526,0.967959,0.03103108],"study_design_scores_gemma":[0.00001496493,0.00002317305,0.001071673,0.00007604567,0.000002470665,0.00006237314,0.00003592071,0.00007296137,0.00009061496,0.0003946876,0.998147,0.000008056745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0007240482,0.00147345,0.001187633,0.0102449,0.02173596,0.0001376971,0.002869871,0.001917258,0.9597092],"genre_scores_gemma":[0.0008487484,0.0003770133,0.0002163207,0.0005273923,0.000815945,0.00001205177,0.0003450217,0.0002414,0.9966161],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9989848,"threshold_uncertainty_score":0.1643854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09555176015403112,"score_gpt":0.386718162779488,"score_spread":0.2911664026254569,"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."}}