{"id":"W3157493030","doi":"10.1101/2021.01.19.21250027","title":"Natural Progression of Routine Laboratory Markers following Spinal Trauma: A Longitudinal, Multi-Cohort Study","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; University of Saskatchewan; International Collaboration On Repair Discoveries; University of British Columbia","funders":"Wings for Life; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Medicine; Hematocrit; Pathological; Confounding; Internal medicine; Analysis of variance; Longitudinal study; Clinical trial; Cohort; Cohort study; Pathology","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":[0.003048797,0.0003100513,0.0004263586,0.0007468577,0.0005935509,0.0009029799,0.0004973675,0.000532295,0.0007416175],"category_scores_gemma":[0.004523106,0.0003100605,0.0005870123,0.001081831,0.0002507264,0.000813448,0.00064636,0.0007421998,0.000173331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105039,"about_ca_system_score_gemma":0.0007462906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00679091,"about_ca_topic_score_gemma":0.007218203,"domain_scores_codex":[0.999035,0.0003298115,0.0001069921,0.0002685208,0.0001442926,0.0001153409],"domain_scores_gemma":[0.9968467,0.0004283573,0.001419045,0.0004497858,0.0004672115,0.0003888466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003028003,0.00008607459,0.9981973,0.00001199389,0.0001473142,0.00003814266,0.0001042026,0.00003743078,0.0001959031,0.00001419749,0.00006600889,0.0007986715],"study_design_scores_gemma":[0.00001517683,0.0004136314,0.9987969,0.00001067769,0.00008066686,0.0001115458,0.0001654012,0.0002341225,0.00005499543,0.00002363263,0.00008780581,0.000005458607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988483,0.0001889168,0.0002527029,0.00003310624,0.000004426298,0.00002434137,0.0005421564,0.000003792463,0.0001022585],"genre_scores_gemma":[0.9987152,0.0001277928,0.0002816835,0.00002868339,0.000008290371,0.00003132396,0.0006775288,0.000002368463,0.0001271176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00679091,"threshold_uncertainty_score":0.01612377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0581008657539169,"score_gpt":0.415459698249164,"score_spread":0.3573588324952471,"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."}}