{"id":"W4406867520","doi":"10.1089/derm.2024.0519","title":"The Patent Blue V Paradox: Hidden Offender, Serial Culprit","year":2025,"lang":"en","type":"article","venue":"Dermatitis","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Culprit; Medicine; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0001648616,0.0001237443,0.0001357571,0.00003974208,0.0004181054,0.0004508121,0.001079338,0.0000589271,0.00005455577],"category_scores_gemma":[0.00008776348,0.0000778851,0.00008073371,0.0002623519,0.0001131344,0.0003209995,0.0003382527,0.0001212244,0.0002693122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004441932,"about_ca_system_score_gemma":0.00009774123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001104954,"about_ca_topic_score_gemma":0.00006440669,"domain_scores_codex":[0.9988672,0.0001158671,0.0002579716,0.000243496,0.0002195482,0.0002959192],"domain_scores_gemma":[0.9990867,0.0001506391,0.00004655149,0.0005805929,0.00007776052,0.00005778106],"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":[0.000003570529,0.00003395976,0.0000786978,0.0000238639,0.00005528426,0.00001812872,0.00177032,0.00001652194,0.00009847873,0.1109346,0.7218698,0.1650968],"study_design_scores_gemma":[0.0004906334,0.00006083288,0.001919897,0.00005094229,0.00001041657,0.00003476416,0.00008475204,0.04200691,0.008435836,0.02623954,0.9204194,0.0002460679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0123329,0.002492398,0.7996905,0.04774784,0.007860181,0.000727347,0.00001241052,0.0005965969,0.1285398],"genre_scores_gemma":[0.9772865,0.0006928006,0.002625262,0.01091278,0.0001947008,0.00005231477,0.000004995103,0.00001080619,0.008219797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9649537,"threshold_uncertainty_score":0.4347192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805370313008905,"score_gpt":0.2273087934166102,"score_spread":0.1992550902865212,"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."}}