{"id":"W6902266597","doi":"10.6084/m9.figshare.7560617","title":"Classification of obesity, cardiometabolic risk, and metabolic syndrome in adults with spinal cord injury","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metabolic syndrome; Waist; Obesity; Spinal cord injury; Medical record; Veterans Affairs; Population; Retrospective cohort study","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":[0.001887607,0.0003005189,0.0002401334,0.002644001,0.0003094554,0.000536416,0.0003581354,0.0004226865,0.0006384891],"category_scores_gemma":[0.004648076,0.000114794,0.0003560559,0.001633815,0.0003118484,0.0005127432,0.0005163362,0.000321764,0.0001188786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004771149,"about_ca_system_score_gemma":0.0005598753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007690158,"about_ca_topic_score_gemma":0.01286606,"domain_scores_codex":[0.9987726,0.0004021995,0.0003730967,0.0001230298,0.0002423706,0.00008662287],"domain_scores_gemma":[0.9974794,0.0003544114,0.00154471,0.00007542188,0.0004256457,0.0001203727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003499989,0.00001259811,0.9985129,0.00001252112,0.00001402787,0.00001167804,0.00004437482,0.00002360418,0.00003783185,0.00001218116,0.00008342878,0.001199741],"study_design_scores_gemma":[0.000005244282,0.00006191812,0.9992189,0.00002442522,0.00001284101,0.0001123385,0.0002052014,0.0002029919,0.00005201196,0.00001763766,0.00008388154,0.000002584763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970547,0.0008222175,0.0002579458,0.0001225631,0.00001917059,0.00007368552,0.0009976067,0.000006175836,0.000646006],"genre_scores_gemma":[0.9974973,0.0003045563,0.0008166318,0.00004609154,0.00002019419,0.0000714001,0.001150871,0.000001368094,0.00009152037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007690158,"threshold_uncertainty_score":0.0152908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04563740955636458,"score_gpt":0.3437971445992068,"score_spread":0.2981597350428422,"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."}}