{"id":"W1991042152","doi":"10.1016/s1361-8415(02)00090-7","title":"Irregularity index: A new border irregularity measure for cutaneous melanocytic lesions","year":2002,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver Hospital and Health Sciences Centre; University of British Columbia; BC Cancer Agency; Simon Fraser University","funders":"","keywords":"Lesion; Index (typography); Measure (data warehouse); Pattern recognition (psychology); Computer science; Artificial intelligence; Texture (cosmology); Medicine; Mathematics; Pathology; Data mining; Image (mathematics)","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":[0.001180092,0.0005869287,0.0007189456,0.005898569,0.0003172035,0.001168017,0.0005475587,0.0005485796,0.001545126],"category_scores_gemma":[0.004804164,0.0002601524,0.000608502,0.002040994,0.0003696146,0.001164507,0.0007450706,0.0004737468,0.0005276919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004852076,"about_ca_system_score_gemma":0.0003294921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083568,"about_ca_topic_score_gemma":0.001316999,"domain_scores_codex":[0.9993277,0.00007346377,0.0001045317,0.00008301973,0.0003780447,0.00003342727],"domain_scores_gemma":[0.9974902,0.000833322,0.0006031455,0.0001477361,0.0007124386,0.0002133339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002201442,0.0003042987,0.2629752,0.0006546067,0.0006991183,0.0006892309,0.0003150713,0.01662692,0.07977417,0.002279206,0.00886357,0.6246173],"study_design_scores_gemma":[0.0002326318,0.001113021,0.5621401,0.0001338087,0.0008373302,0.008674186,0.000411769,0.3591365,0.04354262,0.004803875,0.01864712,0.0003270207],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5115865,0.004573556,0.4696103,0.0003498834,0.0003069861,0.0006443996,0.003332144,0.003496587,0.006099593],"genre_scores_gemma":[0.8151463,0.0012641,0.1777718,0.0001514349,0.0002501739,0.00034424,0.002078913,0.0004077182,0.002585262],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005898569,"threshold_uncertainty_score":0.006241024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230352264428015,"score_gpt":0.2973965722521087,"score_spread":0.2743613458093073,"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."}}