{"id":"W2126650051","doi":"10.1186/1745-6215-10-40","title":"LOST to follow-up Information in Trials (LOST-IT): a protocol on the potential impact","year":2009,"lang":"en","type":"article","venue":"Trials","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; University of Alberta; Université de Sherbrooke; McMaster University","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; Ontario Ministry of Health and Long-Term Care; National Natural Science Foundation of China; Cancer Research UK; Pfizer","keywords":"Medicine; Randomized controlled trial; Sample size determination; Protocol (science); Clinical trial; Statistical significance; Lost to follow-up; MEDLINE; Alternative medicine; Family medicine; Surgery; Statistics; Internal medicine","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.5072447,0.00034265,0.006311343,0.0007623272,0.000109349,0.001929999,0.001568144,0.0001255494,0.03015245],"category_scores_gemma":[0.4123196,0.0001150392,0.003494272,0.001850062,0.00001654678,0.0005687275,0.00005690104,0.0001606891,0.02857015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007580116,"about_ca_system_score_gemma":0.0001652974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001991718,"about_ca_topic_score_gemma":0.00002186691,"domain_scores_codex":[0.880645,0.07269781,0.0365089,0.0008741167,0.008669104,0.0006050314],"domain_scores_gemma":[0.9659212,0.01904539,0.01075147,0.003294499,0.0007599342,0.00022751],"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":[0.002069789,0.000150283,0.000221481,0.00002229467,0.0002711585,0.000004768981,0.001818033,0.001013913,0.0007994785,0.003001607,0.8722314,0.1183958],"study_design_scores_gemma":[0.01655028,0.002703584,0.02463752,0.0004949428,0.0009575268,0.00001620154,0.001797911,0.00382004,0.001849781,0.09846094,0.8475654,0.001145873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.147115,0.00004852328,0.01333246,0.04026257,0.001425874,0.7396444,0.0001971813,0.0000213351,0.05795269],"genre_scores_gemma":[0.9261798,0.000003912925,0.001360893,0.009899681,0.0009772552,0.04911665,0.00001915157,0.00001800538,0.01242469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7790648,"threshold_uncertainty_score":0.9991061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8061702521912759,"score_gpt":0.6145126324113904,"score_spread":0.1916576197798855,"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."}}