{"id":"W6957937560","doi":"10.6084/m9.figshare.13565751.v1","title":"Additional file 1 of When does the use of individual patient data in network meta-analysis make a difference? A simulation study","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"","keywords":"Patient data; Code (set theory); Data file; Patient record; Data collection; Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003425408,0.00008184707,0.0004631326,0.0001218411,0.00005473978,0.0001513582,0.0005063728,0.00004722083,0.3844141],"category_scores_gemma":[0.000601805,0.00004764396,0.00008691506,0.0007648755,0.00002661239,0.0002889977,0.001142876,0.00008047929,0.00001662086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000544039,"about_ca_system_score_gemma":0.00004834993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231811,"about_ca_topic_score_gemma":0.04046702,"domain_scores_codex":[0.998805,0.00008558786,0.0004613097,0.0002657569,0.0002668079,0.0001154828],"domain_scores_gemma":[0.9980113,0.0007703495,0.0004075528,0.0006469788,0.0001590631,0.000004784416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007835719,0.002273992,0.05108432,0.0001039025,0.04998961,0.00007526006,0.001856391,0.01225408,0.000002566185,0.0003020076,0.4228468,0.4591327],"study_design_scores_gemma":[0.000211036,0.00002283689,0.08664497,0.00002968683,0.008862535,3.228083e-7,0.001874388,0.01342199,0.000001117694,0.0003381952,0.8884667,0.0001262493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6151696,0.000103875,0.0001178876,0.001409223,0.0001253548,0.002509619,0.3793261,0.000006193693,0.001232138],"genre_scores_gemma":[0.9649489,2.146983e-7,0.001626951,0.000116802,0.00006005594,0.0001200331,0.03282994,0.000005520164,0.0002915623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4656199,"threshold_uncertainty_score":0.977042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3181502638059721,"score_gpt":0.3429842732233673,"score_spread":0.02483400941739522,"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."}}