{"id":"W2995911746","doi":"10.5539/cis.v13n1p1","title":"Performance Evaluation of a Classification Model for Oral Tumor Diagnosis","year":2019,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mucoepidermoid carcinoma; Histopathology; Artificial intelligence; Computer science; Medicine; Pathology; Carcinoma","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":[0.003358223,0.0008557897,0.0008722666,0.001012932,0.0004657386,0.001266789,0.000882754,0.001181336,0.00118905],"category_scores_gemma":[0.005591248,0.0002345937,0.000727937,0.0004750662,0.0003297407,0.0009066919,0.0006234061,0.0008046669,0.000469886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001824346,"about_ca_system_score_gemma":0.0009574805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01169969,"about_ca_topic_score_gemma":0.004658936,"domain_scores_codex":[0.9988175,0.0003874667,0.00009929138,0.0002674687,0.0003016239,0.000126629],"domain_scores_gemma":[0.9968998,0.001880967,0.0002083519,0.0001530685,0.0007632689,0.00009444966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008987793,0.0003138698,0.01635093,0.0001708715,0.0001986489,0.0001771074,0.000142936,0.8087735,0.006704172,0.001282734,0.001318776,0.1636676],"study_design_scores_gemma":[0.00000335995,0.00007271942,0.0006597079,0.000005211194,0.00001197315,0.00002001434,0.0000132464,0.9977709,0.00118223,0.0001686937,0.00008676391,0.000005139393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6204692,0.001593012,0.3683435,0.001011056,0.0002466809,0.0001824124,0.0003844305,0.002517307,0.005252544],"genre_scores_gemma":[0.9684407,0.0001843739,0.02971989,0.0000588297,0.00002533068,0.00005173218,0.000318902,0.00003291429,0.00116736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01169969,"threshold_uncertainty_score":0.02326316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06293883624948812,"score_gpt":0.3049378496145438,"score_spread":0.2419990133650557,"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."}}