{"id":"W4386403195","doi":"10.59707/hymrhuhp8885","title":"Data Mining of Systematic Reviews 1934-2023: A Bibliometric Analysis","year":2023,"lang":"en","type":"article","venue":"High Yield Medical Reviews","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systematic review; Bibliometrics; Publishing; Specialty; MEDLINE; Medicine; Library science; Political science; Family medicine; Computer science","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.1072219,0.002034446,0.009127211,0.2147653,0.001873797,0.01055185,0.002005142,0.001376976,0.005974007],"category_scores_gemma":[0.4008638,0.001316361,0.009680072,0.2697171,0.00145334,0.005569661,0.005129335,0.001071573,0.001724441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007746545,"about_ca_system_score_gemma":0.02847336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008886243,"about_ca_topic_score_gemma":0.007994065,"domain_scores_codex":[0.7999691,0.0722461,0.07868493,0.008255076,0.03903595,0.00180885],"domain_scores_gemma":[0.611982,0.2870851,0.0487891,0.01256402,0.03760627,0.001973497],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000949445,0.0002465609,0.1490544,0.2536258,0.02465598,0.00090599,0.004217518,0.00722709,0.001855682,0.01031065,0.04066597,0.506285],"study_design_scores_gemma":[0.00152585,0.0012971,0.4325607,0.1460447,0.05985919,0.002942776,0.007978186,0.04466166,0.005599376,0.03395198,0.2626973,0.0008813273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2140245,0.2429646,0.1267172,0.0157602,0.001777325,0.04733712,0.3059137,0.006876275,0.03862911],"genre_scores_gemma":[0.4883928,0.1010145,0.2744213,0.001241722,0.001343468,0.06085428,0.0695421,0.000794113,0.002395697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.892778,"threshold_uncertainty_score":0.5670506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9109616573805002,"score_gpt":0.5949575628776916,"score_spread":0.3160040945028085,"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."}}