{"id":"W7064487525","doi":"","title":"Causal Inference Methods for Secondary Analysis of Randomized Screening Trials","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Electrical and Electromagnetic Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Causal inference; Estimator; Randomized controlled trial; Marginal structural model; Inference; Instrumental variable; Randomization; Clinical trial","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2496664,0.004765757,0.00768701,0.008981595,0.001533183,0.005558116,0.009167573,0.006255187,0.01981412],"category_scores_gemma":[0.4801007,0.002945437,0.00925369,0.008066867,0.00513722,0.006043631,0.005284752,0.01348283,0.004546127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00564569,"about_ca_system_score_gemma":0.009921868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309011,"about_ca_topic_score_gemma":0.002066896,"domain_scores_codex":[0.748006,0.2259169,0.006314798,0.00810632,0.01060688,0.001049105],"domain_scores_gemma":[0.4294728,0.5185869,0.01582344,0.02518384,0.01006918,0.0008637499],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004736539,0.000222695,0.001449686,0.005279448,0.003087874,0.0002400663,0.0005559158,0.05519612,0.0003263999,0.7622134,0.01505321,0.1559016],"study_design_scores_gemma":[0.0007516864,0.0002613784,0.0004591633,0.001348128,0.0006325492,0.000107734,0.00008044745,0.1778062,0.000520295,0.7992693,0.0186607,0.0001024543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002123356,0.00123392,0.994899,0.000551798,0.0002851532,0.001267493,0.0003284659,0.0003479111,0.0008739948],"genre_scores_gemma":[0.02201514,0.002969598,0.951052,0.001119075,0.001031243,0.01878687,0.0009615167,0.0004090078,0.001655524],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7503336,"threshold_uncertainty_score":0.9252949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07503714490046122,"score_gpt":0.5119578264126312,"score_spread":0.43692068151217,"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."}}