{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000168061,0.0009550174,0.0006956809,0.00075644,0.0009914855,0.0007340516,0.0003255988,0.001891532,0.002844907],"category_scores_gemma":[0.001357228,0.0004252726,0.000481824,0.0006210263,0.0009983758,0.0009254219,0.0007083279,0.001653537,0.0006496666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004778024,"about_ca_system_score_gemma":0.0002096027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007838876,"about_ca_topic_score_gemma":0.001172936,"domain_scores_codex":[0.9997009,0.00003518039,0.00002489534,0.0001036645,0.00004053541,0.00009489225],"domain_scores_gemma":[0.9994772,0.0001571869,0.0001837592,0.00004207376,0.0000314922,0.0001084049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0001409383,0.0001070843,0.03052006,0.0001821846,0.00002621117,0.9504803,0.0006745032,0.0001843037,0.006764741,0.0009099976,0.0008603804,0.009149421],"study_design_scores_gemma":[0.000008253995,0.0001192987,0.00916212,0.00002039876,0.00001513632,0.9873038,0.0001682747,0.000133735,0.001099221,0.0001577964,0.001803381,0.0000086962],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604899,0.01382162,0.006292273,0.001506585,0.0004103729,0.0001246259,0.0002374661,0.0003208277,0.01679625],"genre_scores_gemma":[0.994021,0.001448621,0.001436311,0.000592128,0.0001379737,0.00001216743,0.00004088574,0.0000201512,0.002290805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002844907,"threshold_uncertainty_score":0.009517133,"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."}}