{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008857728,0.0001601295,0.0001584522,0.0006479127,0.0002759881,0.0005869511,0.0001908739,0.0003621893,0.001426687],"category_scores_gemma":[0.004760339,0.00008031791,0.0001698016,0.0002980718,0.0001977659,0.0002358831,0.0002867297,0.0002669613,0.0002552626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098947,"about_ca_system_score_gemma":0.0004125497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513043,"about_ca_topic_score_gemma":0.002185753,"domain_scores_codex":[0.9994521,0.000320199,0.00003927119,0.00004260762,0.0001027965,0.0000429409],"domain_scores_gemma":[0.9974796,0.001438776,0.0005757422,0.00006305771,0.0002489095,0.0001938847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003534666,0.000744998,0.9378689,0.0001619636,0.00003429284,0.0008159725,0.001139695,0.0002410665,0.002133161,0.00006217405,0.0007936027,0.05565065],"study_design_scores_gemma":[0.00009561903,0.003767619,0.9762379,0.0001755608,0.0001159517,0.004790203,0.002073885,0.006775389,0.002815681,0.0002305477,0.002889132,0.00003252724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977297,0.0003812937,0.0002065927,0.0002513613,0.000008468399,0.00004311055,0.00002889658,0.00001808319,0.00133248],"genre_scores_gemma":[0.9987637,0.0001241789,0.0008223981,0.0001121546,0.000008842526,0.00001582198,0.00002526647,8.78813e-7,0.0001268457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001513043,"threshold_uncertainty_score":0.004772782,"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."}}