{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001687502,0.0006735015,0.0004995124,0.001197293,0.000382256,0.001825563,0.001300398,0.001136226,0.0063777],"category_scores_gemma":[0.006834854,0.0003363717,0.0007185501,0.001589351,0.0006237318,0.001907051,0.001444248,0.001402184,0.002994812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009629128,"about_ca_system_score_gemma":0.001587384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002176799,"about_ca_topic_score_gemma":0.002511906,"domain_scores_codex":[0.9989818,0.0002425707,0.0000839194,0.0002355212,0.0003913641,0.00006488593],"domain_scores_gemma":[0.9977047,0.0008032998,0.000178579,0.0005506914,0.0006799538,0.00008286419],"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":[0.0003005609,0.0001737407,0.006930528,0.001095397,0.0001213047,0.0004846028,0.0002089321,0.09860647,0.02828308,0.05058153,0.04849163,0.7647222],"study_design_scores_gemma":[0.00003641324,0.0001619108,0.003969907,0.0002651759,0.0000488243,0.0007138295,0.0002921369,0.7088811,0.04503726,0.09857575,0.1419526,0.00006515276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01891662,0.006173214,0.9415238,0.007482666,0.0006828549,0.0002597568,0.003249883,0.003780689,0.01793059],"genre_scores_gemma":[0.5272537,0.01139307,0.4279639,0.0027815,0.0006654614,0.0007543615,0.01112098,0.0006566112,0.01741051],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0063777,"threshold_uncertainty_score":0.02133554,"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."}}