{"id":"W4400681509","doi":"10.1089/neur.2024.0038","title":"Effect-Size Discrepancies in Literature Versus Raw Datasets from Experimental Spinal Cord Injury Studies: A CLIMBER Meta-Analysis","year":2024,"lang":"en","type":"article","venue":"Neurotrauma Reports","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Neurological Disorders and Stroke","keywords":"Meta-analysis; Spinal cord injury; Medicine; Physical medicine and rehabilitation; Statistics; Spinal cord; Mathematics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001014345,0.0005267281,0.001793805,0.0005936297,0.00009488344,0.0002489693,0.0001823695,0.0001656274,0.0009633407],"category_scores_gemma":[0.001371433,0.0003757849,0.001263604,0.002266014,0.0002035537,0.0003697363,0.0003115507,0.001010614,0.00005904942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414243,"about_ca_system_score_gemma":0.0001260692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004347772,"about_ca_topic_score_gemma":0.0001203056,"domain_scores_codex":[0.9952505,0.00040528,0.0009687463,0.001476724,0.00130434,0.0005944437],"domain_scores_gemma":[0.9971905,0.0007438537,0.0001603089,0.001501968,0.000122246,0.0002810673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.1715357,0.002297294,0.01036772,0.002270712,0.3142201,0.3341233,0.001445813,0.00001276407,0.1162514,0.000142326,0.0368216,0.01051117],"study_design_scores_gemma":[0.006212954,0.1230962,0.04353801,0.001451561,0.4215573,0.004178652,0.001648217,0.0005134733,0.2942763,0.0001868219,0.1006106,0.002729884],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619977,0.0339725,0.00000241563,0.0008373864,0.0009510986,0.001129758,0.0002993677,0.0001842657,0.00062546],"genre_scores_gemma":[0.9973298,0.0001832682,0.0002282045,0.0002761589,0.000284183,0.0004825483,0.0005430621,0.00006699521,0.0006057868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3299447,"threshold_uncertainty_score":0.9999499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1705213922992101,"score_gpt":0.5020682454948975,"score_spread":0.3315468531956874,"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."}}