{"id":"W2890430426","doi":"10.1111/bjd.17189","title":"Diagnostic accuracy of content‐based dermatoscopic image retrieval with deep classification features","year":2018,"lang":"en","type":"article","venue":"British Journal of Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"MetaOptima Technology (Canada); Simon Fraser University","funders":"MetaOptima Technology","keywords":"Softmax function; Convolutional neural network; Diagnostic accuracy; Medical diagnosis; Pattern recognition (psychology); Classifier (UML)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00213974,0.0007126148,0.0005180459,0.002015491,0.0001457308,0.0007808391,0.0005633332,0.0008205942,0.001105504],"category_scores_gemma":[0.006765998,0.000161994,0.0004652301,0.0005487726,0.0002711293,0.0006983441,0.0005561233,0.0004166734,0.0005062756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006790497,"about_ca_system_score_gemma":0.0003512673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081465,"about_ca_topic_score_gemma":0.00219409,"domain_scores_codex":[0.9990703,0.0002710132,0.00009338361,0.0002271752,0.000237368,0.0001007522],"domain_scores_gemma":[0.9970716,0.001712812,0.0003824887,0.0002395208,0.0004973144,0.00009618398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005814716,0.000947958,0.3009004,0.0007837428,0.001043133,0.000339112,0.0001437583,0.08345289,0.06249058,0.0004055733,0.004467229,0.5392109],"study_design_scores_gemma":[0.0001018999,0.001177901,0.1335227,0.0001066621,0.0004292825,0.0009865275,0.0001237542,0.8187199,0.04266359,0.00107053,0.001027849,0.0000693726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691629,0.002422963,0.02425514,0.0003004181,0.00006168227,0.00006737496,0.0009094402,0.0006164173,0.002203629],"genre_scores_gemma":[0.9926127,0.0001707163,0.006062528,0.0000397416,0.00002267425,0.00001527378,0.0007361133,0.000009641372,0.0003305265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00213974,"threshold_uncertainty_score":0.01131618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942943451022958,"score_gpt":0.2689061410456525,"score_spread":0.2494767065354229,"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."}}