{"id":"W2595956641","doi":"10.1159/000362525","title":"Unvollständige Daten in randomisierten dermatologischen Studien: Auswirkungen und statistische Methoden","year":2014,"lang":"de","type":"article","venue":"Kompass Dermatologie","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada); University of Waterloo","funders":"","keywords":"Gynecology; Medicine; Art","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6579115,0.004225707,0.0116322,0.007448968,0.00227751,0.01175277,0.005347246,0.007534059,0.02123683],"category_scores_gemma":[0.8033307,0.003648966,0.01850426,0.01155206,0.0129665,0.01010818,0.007256499,0.01240424,0.00344811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006637717,"about_ca_system_score_gemma":0.006263845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051913,"about_ca_topic_score_gemma":0.001057341,"domain_scores_codex":[0.135017,0.7774932,0.04592278,0.01341695,0.02711421,0.001035851],"domain_scores_gemma":[0.1111308,0.7888395,0.02613725,0.06419925,0.008913719,0.0007794885],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04048431,0.001956063,0.02633436,0.07954183,0.09521551,0.001761086,0.008669658,0.02798697,0.002820696,0.1812905,0.03286871,0.5010704],"study_design_scores_gemma":[0.02808716,0.01557978,0.02178005,0.04329592,0.04031252,0.002153673,0.002016016,0.1252044,0.01345345,0.5376104,0.1691395,0.001367218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0183075,0.04955111,0.8290911,0.008755373,0.007926474,0.07192895,0.002673995,0.001692654,0.01007284],"genre_scores_gemma":[0.2808751,0.009003312,0.4757299,0.006708209,0.001604181,0.2176694,0.001373572,0.001089822,0.005946637],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3420885,"threshold_uncertainty_score":0.4218561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4725614789157605,"score_gpt":0.5476027252835461,"score_spread":0.07504124636778564,"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."}}