{"id":"W2923148727","doi":"","title":"Phytophotodermatitis: Rash with many faces.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Bioactive Natural Diterpenoids Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Rash; Computer science; Dermatology; World Wide Web; Medicine","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":[0.0001220303,0.0001069463,0.00009233825,0.00002373294,0.0001933124,0.0001444235,0.0004413744,0.0001043735,0.00001655902],"category_scores_gemma":[0.0000921936,0.00008232037,0.00003911574,0.00002204821,0.0001797852,0.00001021753,0.0001895721,0.0001237258,0.00002104679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001453297,"about_ca_system_score_gemma":0.00002233029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003496901,"about_ca_topic_score_gemma":0.00005415765,"domain_scores_codex":[0.9991261,0.00002743373,0.00007181399,0.0002646617,0.0001726348,0.0003373215],"domain_scores_gemma":[0.99916,0.000003757702,0.00006890947,0.0005814371,0.00007769722,0.0001082206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006170092,0.000221015,0.1291784,0.0001268065,0.0005133798,0.00010026,0.00006219128,0.000005776518,0.2215232,0.0002525906,0.04250544,0.6048939],"study_design_scores_gemma":[0.0004987371,0.00002744689,0.7309363,0.000003210816,0.000003816494,0.00001148702,0.000009154505,0.000006066178,0.2281719,0.00003249671,0.04017114,0.0001282236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679234,0.0004179564,0.0001688242,0.0007275533,0.0001186375,0.0006600312,0.00003160166,0.00001475903,0.02993721],"genre_scores_gemma":[0.9938772,0.00009557212,0.0001253919,0.0002039161,0.0001633832,0.0005665322,0.00002527184,0.00001696568,0.004925765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6047657,"threshold_uncertainty_score":0.3356927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820812161954066,"score_gpt":0.2576206612164441,"score_spread":0.2394125395969034,"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."}}