{"id":"W4319293992","doi":"10.1089/derm.2022.0079","title":"Like Two Little Cowboys: Lucky Luke Dermatitis","year":2023,"lang":"en","type":"article","venue":"Dermatitis","topic":"Historical Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conceptualization; Section (typography); Medicine; Library science; Dermatology; Computer science; Linguistics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001362492,0.0001675024,0.0003279247,0.0002148547,0.0001619691,0.00003367235,0.0001302176,0.00009278161,0.001669263],"category_scores_gemma":[0.0006510643,0.0001403648,0.0001272418,0.0007286606,0.0001168688,0.0001206337,0.00007939632,0.000270174,0.01272684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000216744,"about_ca_system_score_gemma":0.0001585174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002970075,"about_ca_topic_score_gemma":0.00005582804,"domain_scores_codex":[0.9979873,0.00007056234,0.0003016334,0.0002550827,0.0007986746,0.0005867789],"domain_scores_gemma":[0.9985152,0.0002416358,0.00004321993,0.0003591175,0.0001017878,0.0007390438],"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":[0.000005428821,0.0001651071,0.01103772,0.0001870073,0.0001177238,0.003046796,0.0004463649,8.446394e-7,0.00007915504,0.000341807,0.9243481,0.06022399],"study_design_scores_gemma":[0.002544247,0.0001964789,0.129883,0.0001838341,0.000052184,0.0002394223,0.000067801,0.0007446857,0.0005265666,0.000682732,0.8647175,0.0001615864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5509524,0.004378153,0.002552034,0.1217835,0.003612431,0.003000668,0.0004681159,0.003220614,0.3100321],"genre_scores_gemma":[0.9714258,0.0009204663,0.0007528472,0.009006477,0.0002893161,0.0001547094,0.0003647357,0.00004335593,0.01704231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4204734,"threshold_uncertainty_score":0.9992433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02765357923808513,"score_gpt":0.3277270635249437,"score_spread":0.3000734842868586,"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."}}