{"id":"W3021767671","doi":"10.5826/dpc.1002a35","title":"Dermoscopy Training Effect on Diagnostic Accuracy of Skin Lesions in Canadian Family Medicine Physicians Using the Triage Amalgamated Dermoscopic Algorithm","year":2020,"lang":"en","type":"article","venue":"Dermatology Practical & Conceptual","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Medicine; Seborrheic keratosis; Diagnostic accuracy; Triage; Dermatology; Skin cancer; Observational study; Dermatoscopy; Skin lesion; Radiology; Cancer; Pathology; Melanoma; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002358169,0.000254258,0.0002035046,0.0006254954,0.000650958,0.0005173126,0.0006564523,0.0004768215,0.001355625],"category_scores_gemma":[0.02292324,0.0002313434,0.0003484175,0.0005119936,0.0005359202,0.0003857479,0.0004830173,0.0005271652,0.0001931833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00400089,"about_ca_system_score_gemma":0.003641629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4542647,"about_ca_topic_score_gemma":0.4403873,"domain_scores_codex":[0.9980024,0.0004154743,0.0001064705,0.0002679655,0.000888794,0.0003189081],"domain_scores_gemma":[0.9868969,0.005051403,0.00312476,0.0004927371,0.003188004,0.001246199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004965048,0.0002072783,0.9871261,0.00003092008,0.00004080641,0.00004474737,0.0009503024,0.0002987277,0.0005380703,0.0000131799,0.0002925748,0.009960766],"study_design_scores_gemma":[0.000005986207,0.0002172231,0.9988581,0.000008485701,0.00001375999,0.00004405085,0.0001814607,0.0003872454,0.0001600237,0.000003165129,0.0001158025,0.000004628747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990396,0.000106891,0.00005307969,0.00006401227,0.000004698271,0.00002218802,0.0001036425,0.00000817749,0.0005976775],"genre_scores_gemma":[0.9995745,0.00004538922,0.0001213142,0.00002033485,0.000003496061,0.000006813693,0.0001045571,0.000001134111,0.0001224479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5457352,"threshold_uncertainty_score":0.9032412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07764655613171698,"score_gpt":0.3586747191219913,"score_spread":0.2810281629902743,"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."}}