{"id":"W2037611498","doi":"10.1111/j.1365-2753.2005.00619.x","title":"Summarizing the probability of wait‐list events*","year":2005,"lang":"en","type":"letter","venue":"Journal of Evaluation in Clinical Practice","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epidemiology; Sobolev space; Marie curie; Sociology; Library science; Medicine; Mathematics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03344686,0.0008327282,0.002272043,0.002398031,0.0006592756,0.004829632,0.001997802,0.005121979,0.006134532],"category_scores_gemma":[0.2829658,0.0006226425,0.00134172,0.002540498,0.001913827,0.005982216,0.001187516,0.00835224,0.001830566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867098,"about_ca_system_score_gemma":0.002270896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770038,"about_ca_topic_score_gemma":0.002649346,"domain_scores_codex":[0.9786736,0.01588361,0.00175567,0.001409678,0.001910554,0.0003668341],"domain_scores_gemma":[0.6953406,0.2802516,0.006105304,0.008766503,0.00847834,0.001057634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001178276,0.0001329767,0.01056591,0.0009879348,0.001013323,0.0006588211,0.000421989,0.01608891,0.0003674043,0.3102973,0.320195,0.3380921],"study_design_scores_gemma":[0.0002262115,0.0003228091,0.004806794,0.0004178125,0.0004341673,0.001041887,0.000113944,0.05705522,0.0006271995,0.8721488,0.06270678,0.00009831778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01189368,0.01937015,0.4811158,0.4575634,0.01385809,0.000179626,0.003074363,0.0008152929,0.01212958],"genre_scores_gemma":[0.4939089,0.01936046,0.2289689,0.1466383,0.08853637,0.0009179148,0.002468093,0.0006441969,0.01855689],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03344686,"threshold_uncertainty_score":0.176886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.746332153457936,"score_gpt":0.6720165708617646,"score_spread":0.07431558259617144,"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."}}