{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009952154,0.00004572841,0.00008210201,0.00005052231,0.0001928505,0.00001558981,0.00001862602,0.00002726914,0.0001749855],"category_scores_gemma":[0.00002006529,0.00003030883,0.00005182358,0.00003480824,0.00001094778,0.0003220654,0.000004659654,0.00007534381,0.000227594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003436576,"about_ca_system_score_gemma":0.00007699479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001387933,"about_ca_topic_score_gemma":9.340439e-8,"domain_scores_codex":[0.99965,0.000004667857,0.0001317495,0.00002046872,0.0001089939,0.00008410331],"domain_scores_gemma":[0.9997305,0.00001034008,0.00006305316,0.00004172679,0.0000860601,0.00006834908],"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":[0.0004613854,0.0001548182,0.01487804,0.0001648185,0.0001207335,0.00005835586,0.004334114,0.00003006876,0.0001068865,0.0003859622,0.8565288,0.122776],"study_design_scores_gemma":[0.003296319,0.0001865245,0.02498201,0.00008654694,0.00003938949,0.001759602,0.0001741696,0.001024392,0.0004390451,0.00008502143,0.9678395,0.00008750207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314972,0.0002159557,0.01367682,0.002231644,0.0009650576,0.0005273813,0.00002399627,0.0000557308,0.05080624],"genre_scores_gemma":[0.9916356,0.0004123098,0.002485439,0.001214554,0.0003886046,0.000008553413,0.00008330431,0.000006116584,0.003765559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1226885,"threshold_uncertainty_score":0.2925336,"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."}}