{"id":"W2756339116","doi":"10.3945/an.117.016188","title":"Comment on “Perspective: NutriGrade: A Scoring System to Assess and Judge the Meta-Evidence of Randomized Controlled Trials and Cohort Studies in Nutrition Research”","year":2017,"lang":"en","type":"review","venue":"Advances in Nutrition","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Randomized controlled trial; Medicine; Perspective (graphical); Cohort; Meta-analysis; Cohort study; MEDLINE; Evidence-based medicine; Clinical trial; Trustworthiness; Alternative medicine; Psychology; Internal medicine; Computer science; Pathology; Social psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5396651,0.0007192203,0.05513324,0.002469964,0.0003417186,0.0008414027,0.001536945,0.0002123982,0.00002375802],"category_scores_gemma":[0.338434,0.0002755962,0.004859472,0.001738329,0.0006099967,0.0007109546,0.0003008106,0.0006362775,0.00001909247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004759173,"about_ca_system_score_gemma":0.00008969902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004221094,"about_ca_topic_score_gemma":0.000108656,"domain_scores_codex":[0.7735191,0.1897158,0.02653444,0.002404957,0.007255949,0.0005698231],"domain_scores_gemma":[0.7566957,0.2234448,0.01441201,0.002873979,0.002444412,0.0001290843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.037156,0.002324024,0.0002237524,0.3836173,0.0400213,0.0001298696,0.002639892,0.00004007822,0.000004835509,0.1569365,0.01360197,0.3633045],"study_design_scores_gemma":[0.06465698,0.0003260339,0.000008044324,0.2947438,0.02436426,0.00003678472,0.007439219,0.0001763365,0.000004348975,0.0233637,0.5843211,0.0005593447],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005341571,0.9651879,0.0002415024,0.001807589,0.0003490587,0.03196946,0.00003769714,0.000004804534,0.0003485965],"genre_scores_gemma":[0.003351766,0.9724836,0.0007837645,0.0000426691,0.000154856,0.02309104,0.000004524467,0.00001854165,0.0000691982],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5707192,"threshold_uncertainty_score":0.9999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9516936685029229,"score_gpt":0.7160097302409089,"score_spread":0.2356839382620141,"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."}}