{"id":"W4200062056","doi":"10.2196/35395","title":"Artificial Intelligence Support for Skin Lesion Triage in Primary Care and Dermatology","year":2021,"lang":"en","type":"article","venue":"Iproceedings","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triage; Medicine; Medical diagnosis; Teledermatology; Observational study; Gold standard (test); Skin cancer; Skin lesion; Dermatology; Radiology; Health care; Cancer; Internal medicine; Telemedicine; Emergency medicine","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":[0.009811554,0.0003848154,0.0006530872,0.001227911,0.0005155759,0.001743326,0.0007715413,0.0007653254,0.001955393],"category_scores_gemma":[0.05805741,0.0002678306,0.0004742151,0.0006832315,0.0008098234,0.0006178737,0.001073516,0.0006897546,0.0001990941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060507,"about_ca_system_score_gemma":0.001519275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174002,"about_ca_topic_score_gemma":0.001944484,"domain_scores_codex":[0.9887599,0.008453863,0.0005878077,0.0007689163,0.001215464,0.0002141356],"domain_scores_gemma":[0.9229696,0.06595823,0.005704805,0.001874179,0.002475108,0.001018014],"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":[0.003072045,0.003214468,0.4216548,0.00238564,0.0009333018,0.0005963296,0.00218057,0.02478328,0.003012242,0.002105046,0.006970306,0.529092],"study_design_scores_gemma":[0.001907819,0.009124143,0.5712843,0.001149611,0.001081726,0.002253992,0.001786646,0.3635996,0.00552289,0.03067711,0.01141349,0.0001986011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199736,0.006324323,0.05564355,0.005073695,0.0002339324,0.001999202,0.0006788976,0.0004933205,0.009579495],"genre_scores_gemma":[0.9685729,0.0006463691,0.02946548,0.0003762467,0.0001324229,0.0004431732,0.0001840071,0.000007450092,0.0001719906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009811554,"threshold_uncertainty_score":0.05188906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246062667397741,"score_gpt":0.2916065077427381,"score_spread":0.2591458810687607,"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."}}