{"id":"W4223928393","doi":"10.1016/j.oooo.2021.08.039","title":"CLASSIFYING FEATURES FOR AN ORAL LESION IMAGE LEARNING TOOL","year":2022,"lang":"en","type":"article","venue":"Oral Surgery Oral Medicine Oral Pathology and Oral Radiology","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rubric; Artificial intelligence; Lesion; Medical physics; Medicine; Computer science; Psychology; Mathematics education; Surgery","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":[0.0006784503,0.0007647991,0.0005141895,0.003162006,0.0004579735,0.001553296,0.0008497969,0.001066615,0.005251605],"category_scores_gemma":[0.003156319,0.000210607,0.0006879623,0.001048186,0.0001921058,0.001190817,0.0007787399,0.0006241008,0.002316151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005289486,"about_ca_system_score_gemma":0.000614188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002251217,"about_ca_topic_score_gemma":0.002858212,"domain_scores_codex":[0.9994521,0.00004068766,0.00005852451,0.0001021556,0.0002367218,0.0001098528],"domain_scores_gemma":[0.9982513,0.0006940294,0.0001225693,0.0001126836,0.0006854218,0.0001339612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005908281,0.0005213411,0.0369502,0.0001549229,0.00005993561,0.0004698538,0.0001433818,0.003503917,0.07308917,0.0008756078,0.006871069,0.8767698],"study_design_scores_gemma":[0.00008876318,0.00154334,0.106925,0.0002152522,0.0003703764,0.002389637,0.001137209,0.6329021,0.23508,0.003469419,0.01577322,0.0001057869],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5737712,0.0004896941,0.398227,0.0008457556,0.0002052298,0.0008892607,0.003358767,0.01180656,0.0104066],"genre_scores_gemma":[0.8077283,0.0001553398,0.1846834,0.0001233699,0.00006223244,0.0002799836,0.002066071,0.000187722,0.004713609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005251605,"threshold_uncertainty_score":0.01756841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08625538712910054,"score_gpt":0.3711511149172038,"score_spread":0.2848957277881032,"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."}}