{"id":"W3122159347","doi":"10.46292/sci20-00016","title":"Linking Spinal Cord Injury Data Sets to Describe the Patient Journey Following Injury: A Protocol","year":2020,"lang":"en","type":"article","venue":"Topics in Spinal Cord Injury Rehabilitation","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Spine Surgery Institute; Institute for Work & Health; Institute for Clinical Evaluative Sciences; Toronto Rehabilitation Institute; University of Toronto; University Health Network; International Collaboration On Repair Discoveries; University of British Columbia; Praxis Spinal Cord Institute","funders":"","keywords":"Medicine; Population; Health care; Spinal cord injury; Protocol (science); Upload; Patient data; Medical emergency; Data science; Data mining; Alternative medicine; Computer science; Database; Psychiatry; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1817095,0.002030423,0.002052889,0.006043238,0.006871801,0.006630599,0.005807395,0.00518477,0.04544718],"category_scores_gemma":[0.1470221,0.003287969,0.004380662,0.008092823,0.003751432,0.007700327,0.009680418,0.009000098,0.01506721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01348336,"about_ca_system_score_gemma":0.08223598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01225226,"about_ca_topic_score_gemma":0.01839127,"domain_scores_codex":[0.9044409,0.05871187,0.02330985,0.004387045,0.006409278,0.002741052],"domain_scores_gemma":[0.8579896,0.04571218,0.01011674,0.02454425,0.05444379,0.007193411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01273226,0.006858007,0.02287916,0.04862402,0.0009999913,0.002973095,0.02473449,0.008630142,0.003977951,0.07609253,0.4459813,0.3455171],"study_design_scores_gemma":[0.01099253,0.002359933,0.02255906,0.03729313,0.0005195467,0.0007488999,0.008807685,0.004507937,0.003577097,0.02215735,0.8858799,0.0005969635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002184123,0.0002798518,0.01873431,0.002945063,0.000367913,0.9545254,0.01516773,0.0002883978,0.005507359],"genre_scores_gemma":[0.002184333,0.0005377201,0.0319569,0.0008447335,0.00006104128,0.9576784,0.005698891,0.00004338198,0.0009945503],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1817095,"threshold_uncertainty_score":0.9609831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1453993994932015,"score_gpt":0.46478796214246,"score_spread":0.3193885626492585,"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."}}