{"id":"W2340048191","doi":"10.1097/ede.0000000000000487","title":"Targeted Maximum Likelihood Estimation for Pharmacoepidemiologic Research","year":2016,"lang":"en","type":"article","venue":"Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"Canadian Institutes of Health Research","keywords":"Estimation; Statistics; Maximum likelihood; Mathematics; Economics","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":[],"category_scores_codex":[0.0175623,0.0002440107,0.0007822244,0.0002272599,0.0001889385,0.000003999427,0.0004354063,0.0003652405,0.0003026713],"category_scores_gemma":[0.138853,0.0001509964,0.000156807,0.0002149268,0.0004096844,0.0001995711,0.0001510042,0.0003471846,0.0001665752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002232415,"about_ca_system_score_gemma":0.00007002534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000163645,"about_ca_topic_score_gemma":0.000007444183,"domain_scores_codex":[0.9946898,0.002377995,0.0009876071,0.0006158772,0.0001349094,0.001193809],"domain_scores_gemma":[0.9335082,0.06503645,0.0003463255,0.0005641173,0.0003718169,0.0001730554],"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":[0.0001262551,0.00008855154,0.001917531,0.00007787569,0.00004383369,0.00000302811,0.0000458427,0.000008056349,0.02031219,0.6253604,0.1879143,0.1641021],"study_design_scores_gemma":[0.0004388774,0.0003436161,0.0002633444,0.00006518081,0.00001445944,0.000009389303,0.00001668471,0.001370037,0.009391158,0.977539,0.01034668,0.0002015535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01136906,0.000260364,0.9700657,0.01539055,0.0002350544,0.001043583,0.00004004655,0.000690811,0.0009048181],"genre_scores_gemma":[0.2380164,0.0002399344,0.7584376,0.001274572,0.000337493,0.001152427,0.00002280999,0.00005633714,0.0004625196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3521786,"threshold_uncertainty_score":0.8684008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5866250288778323,"score_gpt":0.5867883144975042,"score_spread":0.0001632856196719379,"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."}}