{"id":"W4240748437","doi":"10.5206/uwomj.v87i2.1149","title":"Big Data Analytics","year":2019,"lang":"en","type":"article","venue":"University of Western Ontario Medical Journal","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Ontario; Western University","funders":"","keywords":"Big data; Analytics; Population; Population health; Environmental health; Environmental data; Public health; Data science; Data quality; Computer science; Business; Medicine; Data mining; Marketing; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01589562,0.003377672,0.002772585,0.01060611,0.001958448,0.01393107,0.004968002,0.002540777,0.0171648],"category_scores_gemma":[0.05785942,0.001396314,0.003401998,0.01499981,0.001642908,0.01309489,0.008473565,0.004580421,0.01644718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002519087,"about_ca_system_score_gemma":0.005974876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005012017,"about_ca_topic_score_gemma":0.003558899,"domain_scores_codex":[0.9818121,0.004742288,0.003044109,0.002708467,0.006862494,0.0008305789],"domain_scores_gemma":[0.9494087,0.01835483,0.00294231,0.0167265,0.009892069,0.002675619],"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":[0.0005786078,0.0002494944,0.01208405,0.004264036,0.00126201,0.0006174211,0.0009247856,0.0124807,0.003124094,0.08130218,0.5724233,0.3106893],"study_design_scores_gemma":[0.0001130121,0.0001323403,0.006399146,0.001599046,0.0001592998,0.0004347704,0.001254256,0.05555245,0.00349769,0.168189,0.7624986,0.0001704109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.009813544,0.02056869,0.4480173,0.04227226,0.006262978,0.005816306,0.2999855,0.08184405,0.08541933],"genre_scores_gemma":[0.1166681,0.02107287,0.4013537,0.008833806,0.003327516,0.004835308,0.4224214,0.005249208,0.01623818],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0171648,"threshold_uncertainty_score":0.08406508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2927267958743495,"score_gpt":0.4233117057389952,"score_spread":0.1305849098646457,"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."}}