{"id":"W4406482306","doi":"10.1007/978-3-031-77610-6_3","title":"Segmentation Style Discovery: Application to Skin Lesion Images","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"AI in cancer detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Style (visual arts); Segmentation; Artificial intelligence; Computer vision; Skin lesion; Pattern recognition (psychology); Visual arts; Dermatology; Medicine; Art","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":[0.0007038004,0.0008130562,0.000841644,0.002248246,0.0003805431,0.00153898,0.0009623725,0.001018986,0.007171651],"category_scores_gemma":[0.00141502,0.0004983375,0.0008631911,0.002090333,0.0002119725,0.000496061,0.0007073187,0.0005949753,0.003609888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003123939,"about_ca_system_score_gemma":0.0003403484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002078442,"about_ca_topic_score_gemma":0.004848199,"domain_scores_codex":[0.9997385,0.00002843201,0.00001521005,0.00008614091,0.0001006406,0.00003106759],"domain_scores_gemma":[0.9993792,0.0002138694,0.00005095758,0.000107675,0.0001811803,0.00006709974],"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":[0.0002967326,0.00009195548,0.00306817,0.0002402691,0.00007609794,0.0002384825,0.0001288855,0.005663401,0.09123869,0.0006377645,0.01110992,0.8872097],"study_design_scores_gemma":[0.00009054101,0.000204285,0.01612209,0.00006123391,0.000151896,0.002254509,0.000257652,0.8314362,0.1212535,0.0068482,0.02124017,0.00007967935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06152339,0.001185539,0.9013686,0.0002829151,0.0002004943,0.0003174588,0.001744244,0.02837449,0.005002918],"genre_scores_gemma":[0.1424647,0.00100278,0.8415908,0.0001577465,0.0001354627,0.00009141611,0.001891167,0.002141157,0.01052479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007171651,"threshold_uncertainty_score":0.02399158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009770671149005724,"score_gpt":0.2633745012469739,"score_spread":0.2536038300979682,"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."}}