{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0117955,0.0006488319,0.0004899676,0.002263544,0.001050708,0.01184262,0.0009940738,0.001905508,0.006646715],"category_scores_gemma":[0.03573245,0.0003999627,0.0002801888,0.003801288,0.002918324,0.01242791,0.001664824,0.001563773,0.0008513656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862487,"about_ca_system_score_gemma":0.00197336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009404172,"about_ca_topic_score_gemma":0.00624388,"domain_scores_codex":[0.9918595,0.004462733,0.0003863118,0.0008749885,0.001875063,0.0005414131],"domain_scores_gemma":[0.9741467,0.01640284,0.004248501,0.001837537,0.002853225,0.0005111718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008006458,0.0006328304,0.2362604,0.0004442674,0.0002227546,0.000104861,0.007719187,0.00383123,0.00255081,0.1924088,0.008359945,0.5466642],"study_design_scores_gemma":[0.0001731487,0.002053448,0.375917,0.00214246,0.0006406664,0.0006778141,0.04613992,0.1055613,0.01883681,0.3304644,0.1169143,0.0004787819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6402385,0.01145351,0.1240282,0.02663798,0.001526747,0.0001822108,0.0009157869,0.0009174232,0.1940997],"genre_scores_gemma":[0.9890879,0.0009745826,0.005827526,0.0005636117,0.0002338713,0.00003729666,0.00006258979,0.0000372545,0.003175348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01184262,"threshold_uncertainty_score":0.06238133,"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."}}