{"id":"W4390395170","doi":"10.1177/12034754231216967","title":"Using Artificial Intelligence as a Melanoma Screening Tool in Self-Referred Patients","year":2023,"lang":"en","type":"article","venue":"Journal of Cutaneous Medicine and Surgery","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Dalhousie Medical Research Foundation","keywords":"Medicine; Dermatology; Melanoma; Skin cancer; Malignancy; Melanoma diagnosis; Lesion; Nevus; Cancer; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008120612,0.000173981,0.0006593263,0.001162838,0.00007213462,0.0000199653,0.00005881606,0.00008795635,0.000152809],"category_scores_gemma":[0.0008483549,0.000135412,0.0001288371,0.0006941673,0.00006282819,0.00008288077,0.00003880885,0.0003045076,0.0000164947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000853123,"about_ca_system_score_gemma":0.0001087906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004953896,"about_ca_topic_score_gemma":0.000009024697,"domain_scores_codex":[0.9978389,0.00007652988,0.001009799,0.0001818728,0.0005921315,0.0003007312],"domain_scores_gemma":[0.9986642,0.0005086203,0.0003408244,0.0001283936,0.0001938413,0.0001641286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.007969292,0.00139511,0.1723631,0.0009810709,0.001189332,0.1001873,0.006510983,0.001028351,0.00747172,0.0008989616,0.0171499,0.6828549],"study_design_scores_gemma":[0.01290636,0.02734002,0.1327077,0.02538465,0.005823635,0.4145531,0.0635411,0.1134287,0.009744132,0.02930147,0.1600842,0.005184913],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961421,0.0001992585,0.0005074746,0.001540616,0.0007204217,0.0001991148,7.496141e-7,0.00005008285,0.000640184],"genre_scores_gemma":[0.9975329,0.0006374143,0.0004815258,0.0007110963,0.0004662064,0.000001522459,0.000004817888,0.00002352111,0.0001409852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6776699,"threshold_uncertainty_score":0.5521939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08901499308180047,"score_gpt":0.3174643775611065,"score_spread":0.228449384479306,"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."}}