{"id":"W4406034874","doi":"10.1111/jvs.70009","title":"Cross‐Citation Patterns Between the <i>Journal of Vegetation Science</i> and Other Ecological Journals","year":2025,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Citation; Citation analysis; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01160905,0.0001200058,0.0002462576,0.0004638956,0.0009933523,0.000231364,0.0007618142,0.00006096515,0.00004589271],"category_scores_gemma":[0.002375525,0.00007574277,0.00006622136,0.001697326,0.002996734,0.0018539,0.0001569056,0.0003411243,0.00000894625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048616,"about_ca_system_score_gemma":0.000362382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006114557,"about_ca_topic_score_gemma":0.00004292039,"domain_scores_codex":[0.9971223,0.0001797187,0.0009272351,0.0001741811,0.001329009,0.0002675381],"domain_scores_gemma":[0.99666,0.0006792217,0.001396071,0.0001247066,0.001018359,0.0001216636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002736485,0.00006162334,0.9673103,0.00001486072,0.00002455457,0.000003194233,0.00211258,0.007905715,0.01491139,0.000614523,0.00006353996,0.006950364],"study_design_scores_gemma":[0.0005000705,0.0002308402,0.989667,0.00007511933,0.00006025825,0.00007217042,0.0004350588,0.001707129,0.001858945,0.005119573,0.0001972224,0.00007658824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845262,0.0003233367,0.01109036,0.001384942,0.0005840634,0.0001175191,8.840103e-7,0.000003763332,0.001968918],"genre_scores_gemma":[0.9974771,0.0001157421,0.00143345,0.0008494161,0.00007302193,0.000001402644,7.825458e-8,0.000003753709,0.00004602336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02235673,"threshold_uncertainty_score":0.9997165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571808758465122,"score_gpt":0.3287737440008972,"score_spread":0.3030556564162459,"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."}}