{"id":"W2050791524","doi":"10.1097/ede.0b013e3181f2f8e8","title":"The Multitime Case-control Design for Time-varying Exposures","year":2010,"lang":"en","type":"article","venue":"Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Confidence interval; Odds ratio; Estimator; Statistics; Mathematics; Variance (accounting); Moment (physics); Control (management); Correlation; Odds; Medicine; Econometrics; Computer science; Logistic regression; 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":[0.005455252,0.0001789843,0.0004489184,0.00003694913,0.0003339374,0.000009848684,0.0002667175,0.0002426886,0.0001003225],"category_scores_gemma":[0.04804577,0.000116412,0.0001167097,0.00004256046,0.0002343057,0.00007802431,0.0000410188,0.0003818997,0.0000473213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002131214,"about_ca_system_score_gemma":0.0000308781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001795361,"about_ca_topic_score_gemma":0.00003720738,"domain_scores_codex":[0.9979694,0.0006626794,0.0005428623,0.0002671011,0.00004456632,0.0005133553],"domain_scores_gemma":[0.9253269,0.07375479,0.0002546283,0.0004895052,0.0001031386,0.00007104149],"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":[0.0002387854,0.00007960042,0.0009040324,0.00004137549,0.0001677985,0.000109823,0.0002418464,0.0002217508,0.05305227,0.8266531,0.08003425,0.03825532],"study_design_scores_gemma":[0.0003594636,0.0001574901,0.00004767042,0.000007796164,0.00003459557,0.0004049973,0.00001285033,0.01764239,0.003728984,0.9726425,0.00479632,0.0001649039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006857094,0.0001190645,0.9888561,0.001918099,0.0002506844,0.001009075,0.00001769334,0.0003995905,0.0005725835],"genre_scores_gemma":[0.2693149,0.00001149239,0.7282174,0.000818647,0.0003054265,0.000612737,0.000002591729,0.00004197912,0.0006747536],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2624578,"threshold_uncertainty_score":0.9599729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2207759278457395,"score_gpt":0.4448999796850942,"score_spread":0.2241240518393547,"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."}}