{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001797097,0.00007299966,0.00009491298,0.0002657578,0.0001367261,0.0001687059,0.0004740961,0.00002242152,0.000003090348],"category_scores_gemma":[0.00003610664,0.00006715626,0.00002306682,0.0006011517,0.00009586958,0.01117795,0.0001335727,0.00003995386,0.00001329427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103533,"about_ca_system_score_gemma":0.0002807578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001798295,"about_ca_topic_score_gemma":3.062244e-7,"domain_scores_codex":[0.9987386,0.00001594705,0.000256085,0.0001901246,0.0006513253,0.0001478908],"domain_scores_gemma":[0.9985782,0.00004234573,0.0002146512,0.0003138327,0.0008046097,0.00004637835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009667879,0.00001515519,0.004703803,0.0000699968,0.000002891678,4.101134e-9,0.001782137,0.07402346,0.0005353964,0.01765071,0.0002261966,0.9009806],"study_design_scores_gemma":[0.0003789765,0.0001087373,0.03694925,0.00001947319,0.000004040061,0.000002379892,0.00001466392,0.9598864,0.001801553,0.0003067423,0.0004452089,0.00008257212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3811042,0.000006472208,0.6175188,0.00008686272,0.0003083464,0.0003748565,0.00000164257,0.00002948004,0.0005693678],"genre_scores_gemma":[0.9341573,0.00001514829,0.06548557,0.0002249021,0.00001490429,0.00009391193,0.000002081599,0.000001610354,0.000004563608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.900898,"threshold_uncertainty_score":0.8103746,"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."}}