{"id":"W4377141065","doi":"10.1016/j.mar.2023.100855","title":"Out of control? Tracking system technologies and performance measurement","year":2023,"lang":"en","type":"article","venue":"Management Accounting Research","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Université Laval","funders":"European Accounting Association; Université Laval","keywords":"Context (archaeology); Construct (python library); Control (management); Identity (music); Performance measurement; Big data; Computer science; Key (lock); Tracking (education); Resistance (ecology); Sociology; Data science; Business; Computer security; Marketing; Artificial intelligence; Aesthetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0139296,0.00008168127,0.0001622495,0.0003178137,0.0009331729,0.0001712463,0.0003926422,0.00008462298,0.0000102542],"category_scores_gemma":[0.0002535813,0.00007763608,0.00004425539,0.0009015934,0.000401162,0.0001962885,0.0002434892,0.0001969077,0.00003030522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351824,"about_ca_system_score_gemma":0.00005274394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003427009,"about_ca_topic_score_gemma":0.0001859053,"domain_scores_codex":[0.9969146,0.0001071091,0.0002254513,0.0002715689,0.001878978,0.0006023347],"domain_scores_gemma":[0.9991675,0.000103909,0.0000758857,0.0002297289,0.0003926675,0.00003029258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000603466,0.00008624026,0.4708157,0.003254759,0.000325018,0.00004531481,0.0656459,0.0000542782,0.0003826291,0.07904543,0.01265354,0.3676308],"study_design_scores_gemma":[0.0005368115,0.00004115156,0.1193121,0.0003367907,0.00002609614,1.785524e-7,0.8475993,0.0008765284,0.0001237606,0.0003357593,0.03063499,0.0001765293],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8979778,0.0004316536,0.0001022737,0.001210799,0.0003402593,0.0008901154,0.000001639323,0.0007430542,0.09830236],"genre_scores_gemma":[0.9969678,0.000919709,0.00005413587,0.000009605851,0.00007734039,0.00005614983,7.917482e-7,0.00001085284,0.001903606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7819534,"threshold_uncertainty_score":0.7177306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1517706310037046,"score_gpt":0.3715731233015759,"score_spread":0.2198024922978714,"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."}}