{"id":"W4409329075","doi":"10.3390/agriculture15080826","title":"Progress and Trends in Coupled Model Intercomparison Project (CMIP) Research: A Bibliometric Analysis","year":2025,"lang":"en","type":"article","venue":"Agriculture","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Coupled model intercomparison project; Environmental science; Climate change; Biology; Climate model; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0007467099,0.0001210318,0.0002371271,0.0184974,0.0001033467,0.00009617562,0.0002260969,0.0001261604,0.000103008],"category_scores_gemma":[0.00005629938,0.00007865118,0.00006982265,0.1966401,0.0001594697,0.00018369,0.0003495747,0.0002900775,0.000008489882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618652,"about_ca_system_score_gemma":0.000008831298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00172928,"about_ca_topic_score_gemma":0.005278993,"domain_scores_codex":[0.9985737,0.0001079162,0.0002135891,0.000450005,0.0003317998,0.0003229628],"domain_scores_gemma":[0.9995891,0.00007895465,0.00003366373,0.0002164961,0.00002700051,0.0000547655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008910716,0.001020139,0.8883227,0.00006731357,0.0001981315,0.000009926802,0.002708091,0.04067466,0.003035469,0.0008239975,0.03373489,0.02931558],"study_design_scores_gemma":[0.0002868081,0.00003611887,0.5790839,0.00001910465,0.00007934918,7.552208e-7,0.000247236,0.4184888,0.00004840086,0.0006020878,0.0009850916,0.0001223909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916688,0.0002861188,0.0002720916,0.0009370332,0.00001721371,0.0002541049,0.00001011223,0.00003245566,0.006522073],"genre_scores_gemma":[0.9976426,0.00009789343,0.0007514264,0.00004421625,0.000006396237,0.00008223482,0.0000317562,0.000002977811,0.001340511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3778141,"threshold_uncertainty_score":0.9926271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07746889844524493,"score_gpt":0.3759554840814092,"score_spread":0.2984865856361643,"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."}}