{"id":"W4238575527","doi":"10.1177/2168479019838827","title":"Choosing Estimands in Clinical Trials: Putting the ICH E9(R1) Into Practice","year":2019,"lang":"en","type":"article","venue":"Therapeutic Innovation & Regulatory Science","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Eli Lilly (Canada)","funders":"","keywords":"Pharmacy; Clinical trial; Medicine; Clinical Practice; Medical education; Medical physics; Family medicine; Psychology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2887421,0.0001931319,0.0009197,0.0008214755,0.0004748526,0.000300391,0.0007724903,0.0001571707,0.0001966314],"category_scores_gemma":[0.02863768,0.0001824904,0.00009190335,0.002955289,0.0005146274,0.00200032,0.0001007517,0.0004683045,0.001078993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007366375,"about_ca_system_score_gemma":0.0008518109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001780983,"about_ca_topic_score_gemma":0.00001671441,"domain_scores_codex":[0.9893503,0.001566181,0.00738648,0.0008412314,0.0003468291,0.0005090294],"domain_scores_gemma":[0.9869813,0.006036299,0.005380497,0.00107869,0.0004368808,0.00008628673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005231637,0.0001329841,0.1239954,0.00008200735,0.00004693384,4.934842e-7,0.004249916,0.0006919481,0.0004705707,0.8419223,0.0007948147,0.02756027],"study_design_scores_gemma":[0.002395656,0.0002292351,0.6908621,0.0002106576,0.00001789568,0.00001692705,0.004227077,0.07911126,0.00009603126,0.1138089,0.1084047,0.0006195774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9188453,0.0009910279,0.005749981,0.06619228,0.002209383,0.001260053,0.000004972916,0.00006374394,0.004683266],"genre_scores_gemma":[0.9666953,0.00002054233,0.005602512,0.0269368,0.0003491643,0.0000412602,0.000004791358,0.00002228311,0.0003273464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7281134,"threshold_uncertainty_score":0.9996988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.600164886820167,"score_gpt":0.5753082735723751,"score_spread":0.02485661324779187,"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."}}