{"id":"W4398164198","doi":"10.1123/smej.2023-0026","title":"Sport Management Research Productivity and Impact for Ranking Considerations","year":2024,"lang":"en","type":"article","venue":"Sport Management Education Journal","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ranking (information retrieval); Productivity; Sport management; Regional science; Business; Marketing; Operations management; Sociology; Political science; Economics; Public relations; Computer science; Economic growth; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.003044861,0.0001366802,0.0002180185,0.0009913408,0.000481377,0.0007058639,0.0001131443,0.00003642705,0.0008859655],"category_scores_gemma":[0.00001512143,0.0001371675,0.0001143787,0.0003961223,0.00005483655,0.0004832049,0.00005166154,0.0002438129,0.00006920691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206723,"about_ca_system_score_gemma":0.0001126609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003595695,"about_ca_topic_score_gemma":0.000005678255,"domain_scores_codex":[0.9985715,0.000003809311,0.0005502645,0.0004201362,0.0001149582,0.000339304],"domain_scores_gemma":[0.9992998,0.00001517709,0.0001600937,0.0002652556,0.0001115371,0.0001481907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001550803,0.0001410203,0.07536969,0.0002846305,0.0002709844,0.00002813756,0.000379514,0.0002369128,4.818809e-7,0.8702756,0.03723111,0.01576644],"study_design_scores_gemma":[0.0002448662,0.00005493561,0.1540395,0.0001290042,0.00004721972,0.00007718121,0.0005461955,0.001825784,0.000003359026,0.1468636,0.6959416,0.0002266988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8586246,0.008990064,0.007976976,0.008884497,0.005161529,0.002084189,0.00004636329,0.00008434627,0.1081474],"genre_scores_gemma":[0.9822878,0.0016819,0.002429542,0.000112098,0.000673126,0.00009475079,0.00003111725,0.00002622458,0.01266339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7234119,"threshold_uncertainty_score":0.9700701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07030404703873774,"score_gpt":0.3545340908825779,"score_spread":0.2842300438438402,"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."}}