{"id":"W2165814638","doi":"10.1177/1740774515597702","title":"Clinician trialist rounds: 28. When RCT participants are lost to follow-up. Part 1: Why even a few can matter","year":2015,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"","keywords":"Randomized controlled trial; 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","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.2263795,0.0004858405,0.005832803,0.0003431809,0.0002086523,0.0004100221,0.0008838439,0.0006579417,0.003024256],"category_scores_gemma":[0.219606,0.0005314592,0.001079476,0.0003353062,0.0001752825,0.0004589021,0.0002257394,0.000522848,0.04052458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007283707,"about_ca_system_score_gemma":0.0007725149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001717589,"about_ca_topic_score_gemma":0.002529702,"domain_scores_codex":[0.9667441,0.008213877,0.02192875,0.001602293,0.0003051012,0.001205831],"domain_scores_gemma":[0.9708323,0.01634881,0.008679209,0.001794536,0.0002783781,0.002066712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005064354,0.0002584398,0.1617115,0.0000751243,0.0002688876,0.000004343785,0.001019423,0.0000248596,1.894231e-7,0.001914526,0.8338835,0.000332814],"study_design_scores_gemma":[0.01068626,0.0005025688,0.01962318,0.0002987593,0.0001080519,0.000002193753,0.001227801,0.0001799463,0.00000241583,0.03285325,0.9337199,0.000795713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3957215,0.00200813,0.00188847,0.547491,0.03285543,0.006555228,0.003823626,0.0002200294,0.009436521],"genre_scores_gemma":[0.5177823,0.0002751061,0.003213092,0.4222646,0.02427052,0.001081347,0.0002692171,0.0003121731,0.0305316],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1420883,"threshold_uncertainty_score":0.9997137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9161797198778433,"score_gpt":0.6095619279054681,"score_spread":0.3066177919723752,"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."}}