{"id":"W4401742697","doi":"10.1371/journal.pmed.1004447","title":"A minimum data set—Core outcome set, core data elements, and core measurement set—For degenerative cervical myelopathy research (AO Spine RECODE DCM): A consensus study","year":2024,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Praxis Spinal Cord Institute; McMaster University; Toronto Rehabilitation Institute; University Health Network; University of Toronto; International Collaboration On Repair Discoveries; University of British Columbia","funders":"Cambridge University Hospitals; AOSpine; AO Foundation; University of Cambridge; Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Medicine; Delphi method; Systematic review; Data extraction; Data set; Set (abstract data type); Computer science; Data mining; MEDLINE; 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":["metaresearch"],"category_scores_codex":[0.5659977,0.001665344,0.005817033,0.01968757,0.006989388,0.01192072,0.009956135,0.006978524,0.006167884],"category_scores_gemma":[0.5643499,0.002746577,0.007878581,0.01341427,0.005666124,0.01406958,0.02030287,0.01080952,0.001903809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02578813,"about_ca_system_score_gemma":0.1132303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005339887,"about_ca_topic_score_gemma":0.007926426,"domain_scores_codex":[0.4704535,0.3395796,0.1215642,0.009836695,0.05441518,0.004150746],"domain_scores_gemma":[0.339433,0.3753237,0.03878197,0.03719363,0.1960884,0.01317949],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001556519,0.001351704,0.02183902,0.1750191,0.002588757,0.0009582202,0.07684997,0.00527224,0.00472371,0.1650868,0.08028521,0.4644688],"study_design_scores_gemma":[0.002647242,0.002933787,0.03458029,0.3123231,0.003485715,0.001621037,0.07317686,0.01270247,0.007127919,0.1676787,0.3807452,0.0009775324],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07139574,0.02363173,0.4559205,0.07975345,0.006840463,0.3112109,0.01320085,0.000789911,0.03725646],"genre_scores_gemma":[0.08668776,0.003582245,0.6924299,0.005680857,0.0003386307,0.203986,0.006089565,0.0001618548,0.001043211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4340023,"threshold_uncertainty_score":0.5352022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8828792760958166,"score_gpt":0.6200425277044076,"score_spread":0.262836748391409,"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."}}