{"id":"W2188573656","doi":"","title":"Temporal Texture Analysis of Normal Appearing White Matter in Multiple Sclerosis","year":2003,"lang":"en","type":"article","venue":"","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White matter; Texture (cosmology); Multiple sclerosis; Wavelet; Pattern recognition (psychology); Artificial intelligence; Nuclear magnetic resonance; Physics; Magnetic resonance imaging; Medicine; Computer science; Radiology; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001845367,0.0001123453,0.0001646385,0.001237897,0.0001063149,0.0002807201,0.00007836933,0.0001098942,0.0008086941],"category_scores_gemma":[0.0004504532,0.00006867309,0.000204365,0.0008215135,0.0001324029,0.0001795718,0.0001389198,0.0001294792,0.0001186563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001511487,"about_ca_system_score_gemma":0.0001304292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002304509,"about_ca_topic_score_gemma":0.002730394,"domain_scores_codex":[0.9999357,0.000008283241,0.000003966981,0.00001062389,0.00003047479,0.00001084979],"domain_scores_gemma":[0.9998456,0.00004428869,0.00003043511,0.000008317521,0.00005495776,0.0000163871],"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":[0.001236739,0.00009515465,0.06223545,0.0004426307,0.0001065333,0.001104977,0.0002479965,0.0177756,0.4209642,0.001515374,0.003348977,0.4909264],"study_design_scores_gemma":[0.00004076953,0.0003383483,0.4285532,0.00003981686,0.0001404484,0.003284575,0.000379533,0.4718371,0.08715808,0.002710036,0.005438209,0.00007995444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232111,0.002097325,0.07169522,0.0002019993,0.00007830065,0.00003877916,0.0005138239,0.0002406412,0.001922856],"genre_scores_gemma":[0.9814849,0.0008315331,0.01627646,0.00002876347,0.00004528842,0.0000129022,0.0001949045,0.00002692137,0.001098473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002304509,"threshold_uncertainty_score":0.004582167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783477091589634,"score_gpt":0.2285459576731574,"score_spread":0.2107111867572611,"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."}}