{"id":"W4245438433","doi":"10.36227/techrxiv.12089514","title":"COMPUTER VISION FOR SKIN CANCER DETECTION AND DIAGNOSIS","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Upload; Computer science; Artificial intelligence; Thresholding; Convolutional neural network; Image (mathematics); Similarity (geometry); Computer vision; Pattern recognition (psychology); Inpainting; Convolution (computer science); Artificial neural network; World Wide Web","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":[0.0005939478,0.000637126,0.0005731076,0.001147155,0.0002772376,0.001574569,0.0006304267,0.001414271,0.01101998],"category_scores_gemma":[0.001855476,0.0002320341,0.0005577179,0.001372892,0.0004749511,0.001019262,0.0007884931,0.0015703,0.007809875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009076478,"about_ca_system_score_gemma":0.0007669989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004723121,"about_ca_topic_score_gemma":0.003077562,"domain_scores_codex":[0.9992742,0.0001335866,0.00002872447,0.0001678381,0.0003342978,0.00006145168],"domain_scores_gemma":[0.9994592,0.0001421632,0.00004319701,0.00009985339,0.0002243464,0.00003122598],"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":[0.0001071101,0.0001073808,0.0009988333,0.0004866989,0.00006544119,0.00009315581,0.00004139437,0.01386377,0.01065536,0.02285522,0.09507547,0.8556502],"study_design_scores_gemma":[0.00004880886,0.0002003924,0.009356067,0.0003546755,0.000077825,0.001067405,0.0001750823,0.4763685,0.0248925,0.105335,0.3820375,0.0000862327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02059009,0.09549188,0.7945142,0.009285251,0.003106751,0.0003453381,0.002964238,0.005955785,0.06774643],"genre_scores_gemma":[0.5091866,0.06700494,0.3250898,0.002549623,0.002152078,0.0003826088,0.008845092,0.0005915301,0.0841977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01101998,"threshold_uncertainty_score":0.03686547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331144828363373,"score_gpt":0.3013966602435577,"score_spread":0.2780852119599239,"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."}}