{"id":"W3023009578","doi":"10.1002/9781118445112.stat05236","title":"Drug Utilization Patterns","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Observational study; Nonparametric statistics; Data collection; Drug; Data science; Computer science; Medicine; Econometrics; Pharmacology; Statistics; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002076804,0.0002223877,0.0004081133,0.004330643,0.0001817784,0.00118451,0.0006501253,0.0003827428,0.006380945],"category_scores_gemma":[0.01400109,0.0001454827,0.0006509881,0.007209146,0.0002394621,0.0008869413,0.0007234976,0.0005985481,0.001172026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008247237,"about_ca_system_score_gemma":0.0008913997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009036725,"about_ca_topic_score_gemma":0.007719786,"domain_scores_codex":[0.9970469,0.0009581918,0.0005651795,0.0005352148,0.0007799031,0.0001146266],"domain_scores_gemma":[0.9940672,0.002270438,0.001929076,0.0005205852,0.001059465,0.0001532524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001359108,0.00009308287,0.2340474,0.003215763,0.0007457471,0.0001618529,0.0005980046,0.002097188,0.0003321976,0.03349466,0.04235774,0.6827205],"study_design_scores_gemma":[0.00003234086,0.0001080346,0.726795,0.006203742,0.0003804466,0.001609422,0.00126716,0.005414412,0.0009822113,0.03142022,0.2257088,0.00007819277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.2771991,0.3055367,0.08409309,0.03088401,0.001547474,0.001002201,0.1350177,0.0007811561,0.1639386],"genre_scores_gemma":[0.7390926,0.1841837,0.02414394,0.003463571,0.0009410425,0.0005794129,0.03348569,0.0002160469,0.01389401],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009036725,"threshold_uncertainty_score":0.02134639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1981952450142599,"score_gpt":0.4350969791750898,"score_spread":0.2369017341608299,"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."}}