{"id":"W4206199216","doi":"10.36227/techrxiv.12089010.v1","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":"","keywords":"Upload; Computer science; Artificial intelligence; Thresholding; Convolutional neural network; Image (mathematics); Pattern recognition (psychology); Similarity (geometry); Computer vision; Inpainting; Convolution (computer science); Artificial neural network; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006189166,0.0006710779,0.0005801943,0.0009087893,0.0002773368,0.001423394,0.0006137482,0.00123246,0.007744298],"category_scores_gemma":[0.001892784,0.0002016634,0.0005044026,0.001139401,0.000468121,0.0008614767,0.0007642061,0.001610379,0.00588227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007777228,"about_ca_system_score_gemma":0.0007306963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00371212,"about_ca_topic_score_gemma":0.002114759,"domain_scores_codex":[0.9992113,0.0001425706,0.00003121492,0.0001740982,0.000382141,0.0000586893],"domain_scores_gemma":[0.9994957,0.0001327139,0.000037555,0.00009325879,0.0002115361,0.0000292727],"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":[0.0001325484,0.0001224519,0.001157178,0.0005536861,0.00008127827,0.0001283066,0.00004698251,0.01753076,0.01419898,0.02174927,0.08859307,0.8557054],"study_design_scores_gemma":[0.00005490202,0.0002172737,0.009136991,0.0003372059,0.00007202048,0.001258954,0.0001337725,0.5145591,0.03259944,0.0868578,0.3546895,0.00008304177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02431686,0.07045944,0.8402364,0.007595537,0.003190838,0.0003397898,0.002650404,0.006071775,0.04513889],"genre_scores_gemma":[0.5332282,0.05353255,0.3383493,0.001850574,0.002311011,0.0003843633,0.00924153,0.0005675093,0.06053489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007744298,"threshold_uncertainty_score":0.02590728,"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."}}