{"id":"W4404797449","doi":"10.1016/j.procs.2024.09.240","title":"Data Engineering and AI-Powered Skin Cancer Identification for Healthcare Applications","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Identification (biology); Health care; Cancer; Data science; Artificial intelligence; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002150702,0.0000566999,0.00006507197,0.0001411587,0.00009191827,0.0001592055,0.0001694847,0.00001564638,0.000002876526],"category_scores_gemma":[0.00001562791,0.00005224702,0.000010902,0.0003980175,0.00004390402,0.0001805389,0.0001323519,0.00005540783,0.000006326115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005557434,"about_ca_system_score_gemma":0.0001391088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001120698,"about_ca_topic_score_gemma":0.00001199588,"domain_scores_codex":[0.9991941,0.000001555532,0.0001136922,0.0004159769,0.0001436162,0.0001310167],"domain_scores_gemma":[0.9995095,0.0000212278,0.00001698866,0.0002764455,0.00008828586,0.00008762225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001453833,0.00004172034,0.0001955709,0.002209874,0.00002976337,0.000006008655,0.0007056677,0.000141868,0.009995559,0.01062272,0.003930024,0.9721067],"study_design_scores_gemma":[0.0001051855,0.0000411678,0.001589276,0.00008512303,0.00002372164,0.00007752492,0.00001307622,0.8413411,0.0008313215,0.0001488475,0.1556667,0.00007695687],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003884693,0.001221284,0.9855737,0.00729385,0.0007902671,0.0009765305,0.00003746927,0.0002022522,0.00001995523],"genre_scores_gemma":[0.9800283,0.0001474241,0.01824096,0.0005533302,0.0004977682,0.0003307428,0.00002978867,0.00001096317,0.0001607218],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9761436,"threshold_uncertainty_score":0.2130572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895958354227395,"score_gpt":0.3321428602122025,"score_spread":0.3031832766699286,"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."}}