{"id":"W2107380584","doi":"10.1177/009286150804200608","title":"A Noninferiority Margin for Acne Lesion Counts","year":2008,"lang":"en","type":"article","venue":"Drug Information Journal","topic":"Acne and Rosacea Treatments and Effects","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bayer (Canada)","funders":"","keywords":"Acne; Margin (machine learning); Medicine; Lesion; Target lesion; Equivalence (formal languages); Clinical trial; Surgery; Dermatology; Internal medicine; Mathematics; Computer science; Machine learning","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":[0.01041521,0.0004492739,0.0007754349,0.002201797,0.001366903,0.001883869,0.0007665879,0.00138185,0.01410172],"category_scores_gemma":[0.02909896,0.0002221718,0.0008666596,0.001007366,0.001339168,0.001443603,0.001356986,0.0011124,0.002179277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006765047,"about_ca_system_score_gemma":0.000658324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003428418,"about_ca_topic_score_gemma":0.0009696844,"domain_scores_codex":[0.9890062,0.00351404,0.001186363,0.0009293417,0.004446109,0.0009179326],"domain_scores_gemma":[0.9707717,0.01388268,0.003922212,0.003592523,0.006487902,0.001342936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02345098,0.001744353,0.4351148,0.001476491,0.0003713039,0.001148803,0.001382062,0.0008216752,0.1055198,0.009174241,0.01298365,0.4068117],"study_design_scores_gemma":[0.0005882762,0.01495621,0.813612,0.0003732335,0.0005287344,0.007745226,0.001610553,0.009241914,0.07842463,0.008087977,0.06469926,0.0001320174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8963358,0.003735731,0.02171228,0.001949537,0.001076715,0.001079828,0.001453725,0.0005411822,0.07211523],"genre_scores_gemma":[0.9830732,0.0001741375,0.01152834,0.0002132314,0.0001909666,0.0003523731,0.0003592415,0.00004664939,0.004061822],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01410172,"threshold_uncertainty_score":0.05508155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451289176344139,"score_gpt":0.2817738254581889,"score_spread":0.2572609336947475,"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."}}