{"id":"W4410308193","doi":"10.3390/sports13050145","title":"Trends and Scientific Production on Isometric Training: A Bibliometric Analysis","year":2025,"lang":"en","type":"review","venue":"Sports","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; European Commission","keywords":"Isometric exercise; Production (economics); Training (meteorology); Computer science; Data science; Geography; Medicine; Physical therapy; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.001949428,0.0003541358,0.001204581,0.4470164,0.0002520648,0.0001660263,0.0001878279,0.0002895471,0.003508117],"category_scores_gemma":[0.0001415189,0.0002958003,0.0003985436,0.4701678,0.00007926578,0.00007445263,0.00003654259,0.000311436,0.0001371863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008724473,"about_ca_system_score_gemma":0.0001862529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003347924,"about_ca_topic_score_gemma":0.000006077795,"domain_scores_codex":[0.9972388,0.0001240049,0.0006481542,0.0009872569,0.0006454713,0.0003563232],"domain_scores_gemma":[0.9986652,0.0001165794,0.0004474009,0.0005963562,0.00008666801,0.00008783724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004652695,0.00005830936,0.001124079,0.001128381,0.0004977236,0.000008038328,0.0006186367,0.00000155213,5.663386e-9,0.00005600672,0.005063005,0.9914396],"study_design_scores_gemma":[0.00008898212,0.00003787705,0.05950547,0.001161379,0.002901051,0.000008071525,0.00004029844,0.000002675536,3.619437e-8,0.00000987661,0.9359658,0.0002785321],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004036314,0.9759836,0.000005126935,0.00001595699,0.002175509,0.000379548,0.00001522548,0.00007413949,0.01731457],"genre_scores_gemma":[0.001955743,0.8509386,0.00002658351,0.000009218571,0.0002251207,0.0001444825,0.0008501565,0.0000224504,0.1458276],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.991161,"threshold_uncertainty_score":0.9999494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437963991444897,"score_gpt":0.4268704959870755,"score_spread":0.2830740968425858,"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."}}