{"id":"W4241404344","doi":"10.1002/9781118707999.ch26","title":"Novel Approaches to Pharmacoepidemiology Study Design and Statistical Analysis","year":2006,"lang":"en","type":"other","venue":"","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Pharmacoepidemiology; Statistical analysis; Data science; Computer science; Econometrics; Statistics; Mathematics; Medicine; Pharmacology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007137332,0.0004912846,0.00257644,0.0005215402,0.00003691886,0.00003476765,0.0003158914,0.0004462571,0.003367487],"category_scores_gemma":[0.04987245,0.0003717022,0.0001520456,0.0005463051,0.000197904,0.000009032587,0.0002166366,0.0003823183,0.0000567836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003258155,"about_ca_system_score_gemma":0.00003354859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004388391,"about_ca_topic_score_gemma":0.0002191738,"domain_scores_codex":[0.9936324,0.003204793,0.001272976,0.001079095,0.0003580754,0.000452637],"domain_scores_gemma":[0.8935176,0.1052253,0.0003442038,0.0005906146,0.00002520269,0.0002970621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008389474,0.001334857,0.0006750121,0.0001068731,0.003697607,0.00002025582,0.0000291149,0.00003729287,0.0000038978,0.1359466,0.8529953,0.005069253],"study_design_scores_gemma":[0.004044702,0.001231691,0.002170459,0.00007447607,0.02539361,0.000007535244,0.0001385489,0.00842171,0.00001562197,0.9275876,0.02894781,0.001966193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000003862991,0.00003072888,0.8905062,0.0001268414,0.0001755327,0.002184008,0.0003765281,0.000227167,0.1063691],"genre_scores_gemma":[0.00007513646,0.000005424116,0.8619922,0.000214027,0.0003441611,0.0001973488,0.000008892713,0.0003127062,0.1368501],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8240475,"threshold_uncertainty_score":0.9998735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8881543021552973,"score_gpt":0.614771297198156,"score_spread":0.2733830049571413,"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."}}