{"id":"W6977618887","doi":"10.6084/m9.figshare.7664741.v1","title":"MOESM1 of The impact of diagnostic criteria for gestational diabetes on its prevalence: a systematic review and meta-analysis","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forest plot; Gestational diabetes; Subgroup analysis; Cohort; Cohort study; Table (database); Plot (graphics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0147813,0.002566239,0.006846981,0.008176406,0.0009027541,0.002689489,0.00303752,0.002056847,0.4025652],"category_scores_gemma":[0.1005228,0.001284492,0.01817424,0.01156694,0.0005162949,0.003416477,0.002740517,0.001732687,0.00993722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002271123,"about_ca_system_score_gemma":0.005537454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004960411,"about_ca_topic_score_gemma":0.01354,"domain_scores_codex":[0.9924016,0.002820714,0.002354758,0.000979168,0.00103892,0.0004048464],"domain_scores_gemma":[0.9351676,0.05265634,0.006546914,0.002014955,0.00323991,0.0003741875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004207001,0.00006704588,0.005767217,0.830565,0.03464619,0.0001777653,0.0002141619,0.0008621321,0.0002385772,0.002036534,0.1019562,0.01926233],"study_design_scores_gemma":[0.0322807,0.001428931,0.05474136,0.3424698,0.2918458,0.0009331983,0.0006751049,0.005379348,0.001145223,0.01235173,0.2562332,0.0005155911],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002500182,0.01246301,0.002866093,0.00109646,0.0002737131,0.007848767,0.9704652,0.0006656979,0.001820912],"genre_scores_gemma":[0.1167629,0.03314072,0.101418,0.004438031,0.0009542004,0.3401484,0.3764002,0.002136426,0.02460112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4025652,"threshold_uncertainty_score":0.8521682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034916906052226,"score_gpt":0.3939542504417402,"score_spread":0.2904625598365175,"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."}}