{"id":"W4206592659","doi":"10.2196/29189","title":"COVID-19 and Pregnancy: Citation Network Analysis and Evidence Synthesis","year":2022,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Pregnancy; Science Citation Index; Preprint; Coronavirus disease 2019 (COVID-19); Citation analysis; Bibliometrics; Pandemic; Medicine; Multidisciplinary approach; Transmission (telecommunications); Library science; Disease; Computer science; World Wide Web; Infectious disease (medical specialty); Telecommunications; Social science; Pathology; Biology; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03815242,0.001565056,0.003977267,0.07289944,0.00113353,0.006465814,0.002185317,0.001789213,0.007012652],"category_scores_gemma":[0.238298,0.0006577138,0.006125236,0.07572491,0.0011329,0.005471262,0.003071946,0.001485798,0.0004377603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005003367,"about_ca_system_score_gemma":0.008295132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00674722,"about_ca_topic_score_gemma":0.009351798,"domain_scores_codex":[0.9575356,0.02012841,0.01178754,0.003260949,0.006418995,0.0008685744],"domain_scores_gemma":[0.6508415,0.3001819,0.03185675,0.003994908,0.01156107,0.001563872],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00105677,0.00009885748,0.1411529,0.5015581,0.06596384,0.0005987375,0.002360422,0.004908685,0.0002301967,0.01042281,0.01902419,0.2526245],"study_design_scores_gemma":[0.0004794023,0.0005379479,0.2018631,0.4561506,0.1581676,0.001504384,0.006346318,0.01369169,0.000947904,0.040101,0.1198227,0.0003873679],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03302864,0.9270266,0.007399306,0.008533427,0.001003696,0.001370595,0.01631244,0.0001517767,0.005173589],"genre_scores_gemma":[0.4359512,0.5333311,0.01452069,0.00136596,0.001203532,0.003362759,0.009444967,0.00008788011,0.0007318738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9618476,"threshold_uncertainty_score":0.2017717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05057293927379715,"score_gpt":0.3478966510182594,"score_spread":0.2973237117444623,"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."}}