{"id":"W4403622650","doi":"10.48550/arxiv.2408.02792","title":"Lesion Elevation Prediction from Skin Images Improves Diagnosis","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell 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; Alliance de recherche numérique du Canada; Compute Canada; Nvidia","keywords":"Elevation (ballistics); Lesion; Artificial intelligence; Skin lesion; Medicine; Computer science; Pathology; Mathematics; Geometry","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":[0.0005389459,0.001187506,0.0005951673,0.001011632,0.0002108511,0.0009656119,0.000648541,0.001039606,0.002478994],"category_scores_gemma":[0.002393349,0.0002272242,0.0006936623,0.0003413181,0.000311474,0.0008120501,0.001068254,0.001102267,0.002552663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004614741,"about_ca_system_score_gemma":0.0004305523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003037953,"about_ca_topic_score_gemma":0.004344795,"domain_scores_codex":[0.9995177,0.0000756676,0.00002693369,0.0001930195,0.0001175531,0.00006910817],"domain_scores_gemma":[0.9994056,0.0001875417,0.0000813079,0.0001427072,0.0001298182,0.00005298022],"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":[0.001191525,0.000516573,0.06377671,0.0002952785,0.0001777616,0.0007628929,0.00009565442,0.1489079,0.04972817,0.0008903663,0.03103447,0.7026228],"study_design_scores_gemma":[0.00006302689,0.0002611607,0.02254274,0.00008919499,0.0001209545,0.001035291,0.0001218182,0.9264117,0.03875529,0.004624625,0.005934761,0.00003943753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6012495,0.005103682,0.3468184,0.003182139,0.0005987131,0.0002401674,0.004815379,0.02435781,0.0136343],"genre_scores_gemma":[0.9424334,0.000583404,0.04897831,0.0004463089,0.0001528247,0.00002132268,0.004564388,0.0002209091,0.002599098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003037953,"threshold_uncertainty_score":0.008293033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04626182972998117,"score_gpt":0.1970606266326952,"score_spread":0.1507987969027141,"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."}}