{"id":"W4306773044","doi":"10.1080/23750472.2022.2134183","title":"Practice theory and examining and managing sport and leisure","year":2022,"lang":"en","type":"article","venue":"Managing Sport and Leisure","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Diversity (politics); Inclusion (mineral); Practice theory; Big data; Value (mathematics); Everyday life; Sport management; Athletes; Knowledge management; Sociology; Public relations; Engineering ethics; Psychology; Management science; Computer science; Political science; Engineering; Social 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":[0.003842224,0.0002350339,0.0003700326,0.0001859125,0.00159217,0.0002389747,0.0001399154,0.00008072694,0.0001181621],"category_scores_gemma":[0.00003679855,0.0002430423,0.00002975277,0.0002780714,0.000301657,0.0006198658,0.000280382,0.0003952954,0.000001156182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003997935,"about_ca_system_score_gemma":0.00007460324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522971,"about_ca_topic_score_gemma":0.0002594673,"domain_scores_codex":[0.9982076,0.00005049164,0.0002401686,0.0005300748,0.00046554,0.0005061352],"domain_scores_gemma":[0.9992099,0.00009079395,0.0001932258,0.0001923906,0.00003924715,0.0002743827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001254742,0.00003668182,0.8447112,0.00007333975,0.00006524632,0.0003941823,0.01679553,0.000007763533,0.000009939966,0.1118961,0.0005416719,0.02534289],"study_design_scores_gemma":[0.0005162349,0.00007588547,0.2696485,0.00004924073,0.0001661881,0.0001307394,0.04425611,0.0000327269,0.000002759212,0.002822833,0.6819428,0.0003559568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684448,0.005267174,0.00001631306,0.003323694,0.0003202162,0.0003267978,0.000003141498,0.0001216524,0.02217625],"genre_scores_gemma":[0.9906255,0.001215428,0.000163382,0.0004846923,0.0002118587,0.00001717685,0.00001763647,0.00003092136,0.007233391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6814012,"threshold_uncertainty_score":0.9997076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239465503866888,"score_gpt":0.2947453967373478,"score_spread":0.272350741698679,"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."}}