{"id":"W4320000384","doi":"10.5225/jjsm.2023-001","title":"Research Promotion Measures based on a Bibliometric Review of Sport Management Research","year":2023,"lang":"en","type":"article","venue":"Japanese Journal of Sport Management","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Bibliometrics; Sport management; Management science; Sociology; Psychology; Political science; Computer science; Engineering; Public relations; Library 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":[{"model":"gemma","categories":["metaresearch","bibliometrics"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics","metaresearch"],"domain":"incentives","study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.02255557,0.000152797,0.0005693545,0.0347923,0.0002009495,0.00002438923,0.0003617073,0.00004824582,0.0001835902],"category_scores_gemma":[0.0001300874,0.0001149951,0.0001993074,0.05283824,0.0001572269,0.0001356126,0.0002052681,0.000509322,0.0001657345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224184,"about_ca_system_score_gemma":0.000119528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003866914,"about_ca_topic_score_gemma":7.81719e-7,"domain_scores_codex":[0.9934651,0.00006672342,0.001043475,0.0003160455,0.004543649,0.0005649776],"domain_scores_gemma":[0.9964026,0.00007495342,0.0003341035,0.0006014692,0.002332535,0.0002543147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002194841,0.005946347,0.5344478,0.07838663,0.00153284,0.004378589,0.001932499,0.0002433126,0.00003233769,0.006925599,0.1702087,0.1937705],"study_design_scores_gemma":[0.001278097,0.001500873,0.9041181,0.01151142,0.0002165123,0.00004701649,0.01245506,0.00005861406,0.0000923273,0.0001767139,0.06841224,0.0001330155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249041,0.002291567,0.00000996924,0.01140268,0.0003808607,0.002339993,0.000001022506,0.00004589794,0.0586239],"genre_scores_gemma":[0.9547231,0.04071056,0.0008372691,0.0003686101,0.0001648017,0.0001223131,0.00001308724,0.00002154365,0.003038682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3696702,"threshold_uncertainty_score":0.9761475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3907481524376887,"score_gpt":0.4958524012183109,"score_spread":0.1051042487806222,"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."}}