{"id":"W3159907818","doi":"","title":"Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Skin Textured Meshes.","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Polygon mesh; Artificial intelligence; Computer science; Convolutional neural network; Computer vision; Human skin; Pattern recognition (psychology); Lesion; Medicine; Computer graphics (images); Pathology; Biology","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":[0.0002426862,0.0004191991,0.0003060986,0.0009416792,0.0001577029,0.0004445505,0.0004087783,0.0006239673,0.001015026],"category_scores_gemma":[0.0008926161,0.0003290918,0.0004465509,0.0003203389,0.000130134,0.0003168206,0.0005393753,0.0003266412,0.0006733522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002315614,"about_ca_system_score_gemma":0.0002148652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002497171,"about_ca_topic_score_gemma":0.008534516,"domain_scores_codex":[0.9997712,0.00003369929,0.000008091432,0.0000753979,0.00008388973,0.00002775409],"domain_scores_gemma":[0.9996418,0.00007120446,0.00008261815,0.00008238816,0.00008846803,0.00003366342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000693247,0.0001917874,0.06357884,0.0005350492,0.0002524939,0.001126294,0.0003680712,0.028655,0.5006582,0.0008433432,0.009857114,0.3932406],"study_design_scores_gemma":[0.00003895833,0.0004975662,0.1789057,0.0001977302,0.0002096185,0.01024307,0.0004449935,0.5962721,0.1909579,0.002654125,0.01948046,0.00009782044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5142716,0.002893249,0.4680758,0.0003357305,0.0001355051,0.0003157447,0.003504616,0.004406582,0.006061168],"genre_scores_gemma":[0.8103157,0.001184177,0.1799492,0.0001950434,0.00004655394,0.000159811,0.003377647,0.0003743507,0.00439759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002497171,"threshold_uncertainty_score":0.004965305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04406560819526153,"score_gpt":0.2070448373930451,"score_spread":0.1629792291977835,"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."}}