{"id":"W1819504360","doi":"10.1002/pds.2316","title":"Design considerations in an active medical product safety monitoring system","year":2012,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ministry of Health","funders":"Hamilton Health Sciences Foundation; U.S. Department of Health and Human Services","keywords":"Confounding; Medicine; Spurious relationship; Observational study; Cohort; Cohort study; Product (mathematics); Risk analysis (engineering); Econometrics; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03653179,0.0002590426,0.001034711,0.00008294655,0.0002426956,0.000008205106,0.0001633118,0.0002404621,0.0003291939],"category_scores_gemma":[0.1604964,0.0002123943,0.00006652908,0.000136036,0.0003235102,0.0002676662,0.0001219908,0.0008481265,0.00002168651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277907,"about_ca_system_score_gemma":0.0001103229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002220743,"about_ca_topic_score_gemma":0.000005494894,"domain_scores_codex":[0.9808154,0.01623467,0.001557663,0.000501044,0.0002387727,0.0006525159],"domain_scores_gemma":[0.7755941,0.2229897,0.0003445011,0.0003561965,0.0000985579,0.0006170101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003286047,0.001534729,0.2024218,0.0007828547,0.0004846719,0.0001235778,0.005012271,0.0001973352,0.001275407,0.6862352,0.005067726,0.09357847],"study_design_scores_gemma":[0.008040402,0.0001846022,0.1081845,0.0007231032,0.0006342966,0.0003787972,0.001574525,0.009773756,0.01409949,0.8540149,0.00100622,0.001385436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08505889,0.002215553,0.8877493,0.01127804,0.007109215,0.002996873,0.0001446032,0.0005848589,0.002862736],"genre_scores_gemma":[0.6243094,0.000198168,0.373958,0.0003288224,0.001089752,0.00007766998,0.000002051394,0.00002126864,0.00001494111],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5392505,"threshold_uncertainty_score":0.9920933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5846020368607875,"score_gpt":0.5885438474925444,"score_spread":0.003941810631756915,"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."}}