{"id":"W2944482488","doi":"10.1177/2192568219832855","title":"RE-CODE DCM ( <i>RE</i> search Objectives and <i>C</i> ommon <i>D</i> ata <i>E</i> lements for <i>D</i> egenerative <i>C</i> ervical <i>M</i> yelopathy): A Consensus Process to Improve Research Efficiency in DCM, Through Establishment of a Standardized Dataset for Clinical Research and the Definition of the Research Priorities","year":2019,"lang":"en","type":"article","venue":"Global Spine Journal","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Toronto Western Hospital; Toronto Rehabilitation Institute; University Health Network; University of Toronto; University of British Columbia","funders":"Medical Research Council; National Institute for Health and Care Research; Wellcome Trust","keywords":"Medicine; General partnership; Stakeholder; Delphi method; Health care; Physical therapy; Medical physics; Computer science; Public relations; Business; Political science; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1109842,0.002087951,0.00346746,0.01888576,0.005218709,0.01410757,0.005806224,0.006431886,0.1271479],"category_scores_gemma":[0.3660717,0.001577427,0.007397809,0.01281363,0.003475754,0.01157822,0.01804976,0.008057039,0.07607387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01438883,"about_ca_system_score_gemma":0.0690136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01665943,"about_ca_topic_score_gemma":0.02105243,"domain_scores_codex":[0.8652694,0.06472728,0.03430874,0.007327013,0.02442893,0.003938705],"domain_scores_gemma":[0.5889559,0.1401243,0.01698281,0.04653786,0.1962191,0.01118011],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004092858,0.0001552505,0.001708885,0.01216461,0.0001769138,0.0002605067,0.00516913,0.0006340019,0.001816963,0.02854296,0.8356835,0.1132779],"study_design_scores_gemma":[0.0002237453,0.00007535352,0.00171644,0.007784369,0.0001016053,0.00019331,0.002773988,0.001148609,0.001556816,0.0159598,0.9682915,0.0001745403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01415286,0.0100878,0.2766844,0.137212,0.04590041,0.1271453,0.1343927,0.0128641,0.2415604],"genre_scores_gemma":[0.04224573,0.008219611,0.5597399,0.04111136,0.003506099,0.1680417,0.07721483,0.01033527,0.08958551],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8890158,"threshold_uncertainty_score":0.5869476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1557974315944622,"score_gpt":0.4839700267536721,"score_spread":0.3281725951592099,"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."}}