{"id":"W7045305738","doi":"","title":"Advancing Artificial Intelligence For Accurate, Equitable, And Interpretable Skin Cancer Diagnosis And Management","year":2024,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Interpretability; Skin cancer; Cancer; Disease; Limiting; Economic shortage; Health care; Clinical Practice","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005679371,0.0009854415,0.0008163339,0.001891989,0.000803126,0.005599765,0.001812202,0.001859772,0.004196144],"category_scores_gemma":[0.0193259,0.0004521068,0.001250954,0.001222333,0.001748167,0.003924082,0.003343814,0.004083694,0.002069344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159201,"about_ca_system_score_gemma":0.003313644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002798626,"about_ca_topic_score_gemma":0.0031591,"domain_scores_codex":[0.9969814,0.00130713,0.0002317686,0.0004061649,0.0008935941,0.0001798008],"domain_scores_gemma":[0.9889898,0.0077685,0.0005986789,0.0009916497,0.001380918,0.0002703558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001693698,0.0003486174,0.007347652,0.002832313,0.0003141164,0.0005007763,0.001286484,0.1106804,0.007296099,0.1688089,0.04366316,0.656752],"study_design_scores_gemma":[0.00004434434,0.0002233099,0.002629993,0.001884677,0.0001788779,0.0004918312,0.0008266986,0.3940436,0.005716776,0.4336382,0.1602107,0.0001110178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02413637,0.0359536,0.8275204,0.05831856,0.001459486,0.0005758104,0.001383297,0.002540701,0.0481117],"genre_scores_gemma":[0.2623404,0.04460257,0.6747422,0.004580044,0.00148508,0.0005213788,0.002246803,0.000321457,0.009160066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005679371,"threshold_uncertainty_score":0.03003573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780529208879093,"score_gpt":0.2691322515423475,"score_spread":0.2513269594535565,"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."}}