{"id":"W4412023613","doi":"10.2196/62710","title":"Number of Publications on New Clinical Prediction Models: A Bibliometric Review","year":2025,"lang":"en","type":"review","venue":"JMIR Medical Informatics","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poisson regression; Medicine; Regression; Multivariable calculus; MEDLINE; Statistics; Computer science; Mathematics; Population","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":[0.03457325,0.002055551,0.007550742,0.1497327,0.001141515,0.006591879,0.002887782,0.002265402,0.007175883],"category_scores_gemma":[0.193406,0.001746504,0.009563467,0.1508398,0.001964457,0.00791137,0.002968521,0.001790338,0.001426728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005945509,"about_ca_system_score_gemma":0.01512001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006788347,"about_ca_topic_score_gemma":0.009112061,"domain_scores_codex":[0.9635017,0.009354108,0.01433073,0.002923764,0.009145978,0.0007437454],"domain_scores_gemma":[0.6175672,0.3167787,0.03593428,0.004250826,0.02406267,0.001406371],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004886699,0.00008121322,0.0205091,0.6426286,0.01082828,0.0005277473,0.00081754,0.001091966,0.0003277549,0.001696443,0.01895833,0.3020445],"study_design_scores_gemma":[0.0004115724,0.0003313542,0.07536293,0.7325882,0.06454588,0.002323084,0.001581106,0.002206631,0.0007526753,0.003566567,0.1161026,0.000227399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005331637,0.9837045,0.0009605197,0.002295994,0.0003360175,0.0002404565,0.004995351,0.00008192854,0.002053526],"genre_scores_gemma":[0.0266742,0.966484,0.002161974,0.0005784007,0.0004776054,0.0003923397,0.002976181,0.00003502209,0.0002204544],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9654267,"threshold_uncertainty_score":0.182843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1648689215689491,"score_gpt":0.500927923577612,"score_spread":0.3360590020086628,"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."}}