{"id":"W4289779569","doi":"10.1016/j.jclinepi.2022.07.014","title":"GRADE Guidance 34: update on rating imprecision using a minimally contextualized approach","year":2022,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Impact; McMaster University","funders":"Science and Technology Service Network Plan; Sichuan Province Science and Technology Support Program","keywords":"Grading (engineering); Rating system; Rating scale; Computer science; Statistics; Mathematics; Engineering","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":[0.282939,0.003705116,0.008888725,0.02677644,0.003081198,0.01412171,0.01656339,0.01103827,0.01734568],"category_scores_gemma":[0.6759406,0.00503048,0.02141124,0.01693634,0.005353433,0.008133225,0.01297575,0.0161845,0.01026824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01197999,"about_ca_system_score_gemma":0.03628101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116187,"about_ca_topic_score_gemma":0.02050981,"domain_scores_codex":[0.5482388,0.2306463,0.135769,0.007070031,0.07517784,0.003098046],"domain_scores_gemma":[0.2581669,0.3574556,0.052736,0.02678966,0.3006307,0.004221177],"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":[0.001522846,0.0001398591,0.003924832,0.157112,0.006150379,0.0002969365,0.003116363,0.003225386,0.00110608,0.0306251,0.4135426,0.3792376],"study_design_scores_gemma":[0.00181792,0.0006361622,0.005965437,0.1644728,0.009549835,0.0009786059,0.001147687,0.004004694,0.002389399,0.04421635,0.76402,0.0008011438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004902935,0.2399122,0.4487148,0.09110425,0.03573927,0.05650588,0.04231121,0.008516449,0.07229307],"genre_scores_gemma":[0.04173623,0.08138949,0.7739236,0.01993871,0.002934598,0.05521291,0.01526616,0.002391021,0.007207207],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.717061,"threshold_uncertainty_score":0.8842639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9717871712671292,"score_gpt":0.7284582797004966,"score_spread":0.2433288915666326,"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."}}