{"id":"W4386594917","doi":"10.1097/cmr.0000000000000922","title":"Recent advances of artificial intelligence in melanoma clinical practice","year":2023,"lang":"en","type":"article","venue":"Melanoma Research","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Melanoma; Clinical Practice; Melanoma diagnosis; Artificial intelligence; Computer science; Medicine; Medical practice; Intensive care medicine; Cancer research","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005692149,0.0001277294,0.0003869559,0.0008946997,0.00008443677,0.000027025,0.0002229436,0.0001359204,0.0005409719],"category_scores_gemma":[0.004779832,0.0001149278,0.00009781695,0.002420759,0.0002504846,0.0001184655,0.0002349296,0.0007303225,0.001182358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381533,"about_ca_system_score_gemma":0.0001987445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007185821,"about_ca_topic_score_gemma":0.0001759733,"domain_scores_codex":[0.9964142,0.0005990914,0.0008730583,0.0004697016,0.001086966,0.0005570046],"domain_scores_gemma":[0.997245,0.001459872,0.0001114767,0.0005071839,0.0004876817,0.000188748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001623661,0.0005844001,0.004654627,0.0001155481,0.00005002679,0.001419198,0.0002754908,0.00002852173,0.0005755557,0.002636707,0.00238489,0.9856514],"study_design_scores_gemma":[0.0005982597,0.002755196,0.02249686,0.0001678224,0.00003569691,0.0002454418,0.007130625,0.003493787,0.005883457,0.002506582,0.9544727,0.0002136231],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865286,0.003978997,0.0007719714,0.01743222,0.001807277,0.002374924,0.00001205857,0.0002811409,0.1080554],"genre_scores_gemma":[0.9753172,0.01826086,0.001840864,0.0001916691,0.0004897213,0.0001055595,0.00002392457,0.00004090896,0.003729338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9854378,"threshold_uncertainty_score":0.9995953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.187291525296963,"score_gpt":0.4900793010951836,"score_spread":0.3027877757982205,"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."}}