{"id":"W3020822325","doi":"10.1016/b978-1-4831-6720-6.50047-4","title":"ERYTHEMA IRIS","year":2013,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut d'Histoire de l'Amérique Française","funders":"","keywords":"IRIS (biosensor); Dermatology; Erythema; Computer science; Medicine; Artificial intelligence; Biometrics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001282014,0.0008415402,0.0004637904,0.001426102,0.0005995304,0.001140949,0.0005058511,0.001009471,0.1639663],"category_scores_gemma":[0.0003665543,0.0002842476,0.0004569431,0.0007663848,0.000409069,0.001116918,0.000954352,0.00190461,0.08952235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003205472,"about_ca_system_score_gemma":0.0002972386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127335,"about_ca_topic_score_gemma":0.00291571,"domain_scores_codex":[0.9998713,0.00001504564,0.000006249563,0.00002461921,0.00006438615,0.00001846347],"domain_scores_gemma":[0.999909,0.00002636946,0.0000101278,0.00001409537,0.00001792268,0.00002246038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000064008,0.0001005791,0.00033562,0.0004786029,0.00001378984,0.003025083,0.00009959409,0.0001871582,0.003668297,0.006943244,0.33148,0.653604],"study_design_scores_gemma":[0.000007619674,0.00003227021,0.0007145352,0.0003137357,0.000009408763,0.01058346,0.00004820243,0.00008103612,0.0006392411,0.001759518,0.985804,0.00000708979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002051345,0.07580864,0.002168508,0.002117154,0.002659969,0.00005505984,0.0002065682,0.0005964746,0.9143363],"genre_scores_gemma":[0.007473989,0.0258444,0.001442059,0.0009848829,0.001003623,0.00003172081,0.0002156731,0.0001279229,0.9628756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1639663,"threshold_uncertainty_score":0.5485219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137080956204588,"score_gpt":0.2404908743604455,"score_spread":0.2191200647983996,"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."}}