{"id":"W4402133133","doi":"10.1093/dote/doae057.215","title":"468. CALCULATING THE MINIMAL CLINICALLY IMPORTANT DIFFERENCE FOR THE FACT-E FROM ESOPHAGECTOMY TO RECOVERY USING DISTRIBUTION-BASED METHODS","year":2024,"lang":"en","type":"article","venue":"Diseases of the Esophagus","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Esophagectomy; Distribution (mathematics); General surgery; Internal medicine; Esophageal cancer; Mathematical analysis; Mathematics; Cancer","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":[0.03007311,0.0006219592,0.0007674916,0.002658738,0.0004103378,0.001143623,0.0009467441,0.0006928517,0.008208932],"category_scores_gemma":[0.09811974,0.000256777,0.001871799,0.001810441,0.0007963705,0.0008134483,0.001002767,0.001062279,0.001554538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008147178,"about_ca_system_score_gemma":0.0005695148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035843,"about_ca_topic_score_gemma":0.001675754,"domain_scores_codex":[0.9760779,0.01568858,0.002457239,0.002183959,0.003242916,0.0003494064],"domain_scores_gemma":[0.9317179,0.05334435,0.006189691,0.003757463,0.004581125,0.0004093419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00482126,0.0008097255,0.6567403,0.000804419,0.00208194,0.000285687,0.0008821671,0.009089505,0.002437392,0.005055448,0.01013008,0.3068622],"study_design_scores_gemma":[0.000527235,0.002852785,0.8371091,0.0003891006,0.0004639232,0.0009629612,0.0008759145,0.128533,0.004272738,0.007976084,0.01589409,0.0001431522],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6540393,0.001427772,0.3063308,0.0009376943,0.0005201037,0.003516731,0.01517586,0.001486162,0.01656568],"genre_scores_gemma":[0.8790888,0.0001467327,0.1111409,0.0001699498,0.00005817696,0.003168721,0.003936204,0.00009937317,0.002191121],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03007311,"threshold_uncertainty_score":0.1590437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05213226651323438,"score_gpt":0.4216931455968373,"score_spread":0.3695608790836029,"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."}}