{"id":"W4411732819","doi":"10.1093/bjd/ljaf085.213","title":"AI16 Performance of a deep neural network in diagnosing lesions referred on the suspected skin cancer pathway: a prospective observational study","year":2025,"lang":"en","type":"article","venue":"British Journal of Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MetaOptima Technology (Canada)","funders":"","keywords":"Observational study; Medicine; Skin cancer; Cancer; Prospective cohort study; Dermatology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001221363,0.0002923317,0.0004323598,0.0005422013,0.0004713813,0.001097619,0.0005934074,0.0008003329,0.002110642],"category_scores_gemma":[0.005451195,0.0002904063,0.0006754646,0.0005570631,0.0003536697,0.0008729949,0.0005339943,0.001019377,0.0004631083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005217827,"about_ca_system_score_gemma":0.000303359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338724,"about_ca_topic_score_gemma":0.002122149,"domain_scores_codex":[0.9991352,0.0002690925,0.0001132211,0.0002302443,0.0001368268,0.0001153972],"domain_scores_gemma":[0.9965163,0.001143259,0.001053485,0.0002822898,0.0005553421,0.000449304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004456016,0.0002105458,0.9976774,0.00001856987,0.00007643273,0.0001133262,0.00005150513,0.00008659534,0.0001304182,0.00001317948,0.0001252237,0.001051213],"study_design_scores_gemma":[0.00005602568,0.001348779,0.9943363,0.00003528569,0.0001476632,0.0007320885,0.0005001288,0.002331824,0.0001697126,0.00005166499,0.0002743186,0.00001627039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994228,0.0001300804,0.00006722892,0.00002527365,0.000005207421,0.00001268325,0.0001488722,0.000001331179,0.0001864048],"genre_scores_gemma":[0.9995024,0.00004870177,0.000064691,0.00002191063,0.00000698551,0.0000138375,0.0002485703,0.000001315565,0.00009155073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002338724,"threshold_uncertainty_score":0.007060766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03225364000346986,"score_gpt":0.2923897812691514,"score_spread":0.2601361412656815,"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."}}