{"id":"W2048297895","doi":"10.1109/tmi.2013.2239307","title":"Detection and Analysis of Irregular Streaks in Dermoscopic Images of Skin Lesions","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency; Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Pattern recognition (psychology); Artificial intelligence; Contextual image classification; Streak; Computer science; Orientation (vector space); Mathematics; Image (mathematics); Geometry; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008838098,0.0004008229,0.0004286526,0.002755566,0.0001642141,0.0009602028,0.0002643303,0.0005127791,0.0004573576],"category_scores_gemma":[0.002646713,0.0001833491,0.000372991,0.0006430642,0.0002050362,0.0004034162,0.0003574241,0.0003041072,0.0004406695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605048,"about_ca_system_score_gemma":0.0001649305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520146,"about_ca_topic_score_gemma":0.002464506,"domain_scores_codex":[0.9994102,0.0001053194,0.00005792377,0.0001364703,0.0002181152,0.000072026],"domain_scores_gemma":[0.9988072,0.0003968544,0.0002124085,0.0001670474,0.0003285652,0.00008794758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001500863,0.0003511747,0.1972135,0.0006928417,0.0004106509,0.001940371,0.0004426509,0.02689089,0.3334331,0.0006457033,0.003861747,0.4326167],"study_design_scores_gemma":[0.00003145322,0.0003237102,0.4582855,0.00009206519,0.0002091951,0.007383983,0.000536655,0.3981019,0.1295905,0.0008810398,0.004494066,0.00006984633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211696,0.0009975735,0.07333641,0.00009081048,0.00003855402,0.0001101235,0.0007099646,0.001588827,0.001958077],"genre_scores_gemma":[0.950746,0.0004126399,0.04695582,0.00003102752,0.00002164034,0.00001561634,0.001067255,0.00004132686,0.0007087198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002755566,"threshold_uncertainty_score":0.004674077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007441063901661112,"score_gpt":0.2559216508589662,"score_spread":0.2484805869573051,"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."}}