{"id":"W6904976831","doi":"10.1371/journal.pone.0288318.s017","title":"PRISMA 2020 checklist.","year":2023,"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":"Genotyping; SNP; Single-nucleotide polymorphism; Odds ratio; Genetic association; Family history; Odds; Diabetes mellitus","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.05640538,0.003884626,0.007426193,0.01086061,0.002320825,0.006462381,0.007991328,0.004156651,0.5302591],"category_scores_gemma":[0.1523225,0.005173753,0.01167329,0.01262964,0.002378314,0.003389879,0.004730052,0.007331667,0.05774187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005953331,"about_ca_system_score_gemma":0.03914502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248242,"about_ca_topic_score_gemma":0.01959172,"domain_scores_codex":[0.9711118,0.01332959,0.009332831,0.002847588,0.002377956,0.001000227],"domain_scores_gemma":[0.8884435,0.07456825,0.007541951,0.01183742,0.01616867,0.001440246],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002923583,0.0002131944,0.0007038836,0.2335707,0.002185019,0.0002019468,0.0008633683,0.001601582,0.0002968451,0.01017469,0.7041486,0.04311668],"study_design_scores_gemma":[0.02725544,0.000508343,0.004887627,0.09661116,0.004364561,0.0004018944,0.001433134,0.003858149,0.00076219,0.04737987,0.8119114,0.0006262364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0009377941,0.002560076,0.02061846,0.00497437,0.003413985,0.1239477,0.8237378,0.01092115,0.008888756],"genre_scores_gemma":[0.002791876,0.001475,0.09223824,0.001862083,0.0002000681,0.8406712,0.04873722,0.002558826,0.009465406],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9435946,"threshold_uncertainty_score":0.6700283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430210083237796,"score_gpt":0.3262866690753731,"score_spread":0.2819845682429952,"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."}}