{"id":"W1831434569","doi":"","title":"Contribuição do mapeamento corporal total e dermatoscopia digital para o diagnóstico precoce do melanoma","year":2012,"lang":"pt","type":"article","venue":"Surgical & Cosmetic Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"","keywords":"Medicine; Melanoma; Dermatoscopy; Dermatology; Nevus; Mucosal melanoma","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":[0.001621442,0.0008946949,0.0004396197,0.004847995,0.0005037565,0.001356007,0.0006363004,0.001089213,0.003077432],"category_scores_gemma":[0.01007742,0.0004847481,0.000426114,0.00112634,0.0008487105,0.00164311,0.0004392063,0.0008374698,0.0006502049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004066954,"about_ca_system_score_gemma":0.0005388701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658535,"about_ca_topic_score_gemma":0.002412813,"domain_scores_codex":[0.9989613,0.000221109,0.00009345076,0.0001826229,0.0003689928,0.0001723461],"domain_scores_gemma":[0.9953926,0.002775556,0.000457844,0.0004089961,0.0006262932,0.0003388317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000862685,0.0002303618,0.8004358,0.0002841646,0.000108964,0.04154313,0.0004988012,0.0005820836,0.02549324,0.0005290866,0.0007531688,0.1286786],"study_design_scores_gemma":[0.00007637322,0.001278643,0.5554163,0.0004343213,0.0006471055,0.3826828,0.001097978,0.01646989,0.02670413,0.002310255,0.0127907,0.0000915152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659131,0.01239135,0.005415788,0.000731889,0.0002291007,0.0001016454,0.0001823475,0.0002663605,0.01476842],"genre_scores_gemma":[0.9942703,0.001686001,0.003064567,0.00009874099,0.0001658008,0.000008736057,0.00005380315,0.00002355606,0.0006284424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004847995,"threshold_uncertainty_score":0.01029497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872330155317223,"score_gpt":0.2793155421995593,"score_spread":0.2605922406463871,"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."}}