{"id":"W4393340495","doi":"10.1007/978-981-99-9005-4_51","title":"Sampling Methods to Balance Classes in Dermoscopic Skin Lesion Images","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Langara College","funders":"","keywords":"Balance (ability); Skin lesion; Sampling (signal processing); Lesion; Artificial intelligence; Computer science; Computer vision; Medicine; Dermatology; Physical medicine and rehabilitation; Pathology","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":[0.001019586,0.0005440729,0.0006233972,0.001097098,0.000302234,0.0007662745,0.0007285043,0.0005066946,0.003159016],"category_scores_gemma":[0.002060474,0.0002648167,0.0005510043,0.0009625384,0.0003232189,0.0006420971,0.0006169551,0.0006218156,0.00101601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005684911,"about_ca_system_score_gemma":0.0004670521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218028,"about_ca_topic_score_gemma":0.006959431,"domain_scores_codex":[0.999473,0.00008607846,0.00003152242,0.0001492063,0.0001992939,0.00006080707],"domain_scores_gemma":[0.9988067,0.0005303576,0.0000822259,0.000148037,0.0003595712,0.00007308707],"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":[0.00036849,0.0001255221,0.001912282,0.0001020504,0.00004423692,0.00001959987,0.0001030086,0.01467207,0.05161866,0.001629901,0.002320712,0.9270834],"study_design_scores_gemma":[0.00003900713,0.0001518443,0.006541798,0.00002383803,0.00008625478,0.0001497758,0.0001241086,0.9443164,0.03989096,0.003251157,0.005405424,0.00001948666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0383709,0.0004053029,0.9583187,0.00007678614,0.00008357342,0.00008901887,0.0001370056,0.001214325,0.001304421],"genre_scores_gemma":[0.319838,0.0005751081,0.6715375,0.0001647274,0.0002003317,0.000148971,0.000968297,0.0006363184,0.00593072],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003218028,"threshold_uncertainty_score":0.01056796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693454013599037,"score_gpt":0.306286916334546,"score_spread":0.2893523761985556,"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."}}