{"id":"W2018000679","doi":"10.1108/13527590910964937","title":"Organizational structure and home team performance","year":2009,"lang":"en","type":"article","venue":"Team Performance Management","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"League; Originality; Task (project management); Organizational structure; Value (mathematics); Affect (linguistics); Organizational performance; Balance (ability); Marketing; Psychology; Business; Economics; Management; Social psychology; Computer 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003011677,0.0002841585,0.0003637027,0.0003463706,0.0003179756,0.0001321151,0.0003180849,0.00009196777,0.0009508667],"category_scores_gemma":[0.000004549463,0.0002942912,0.00004995954,0.0004676879,0.00006837968,0.0004763762,0.0001076849,0.0002039793,0.0003238037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026026,"about_ca_system_score_gemma":0.0000111711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008484008,"about_ca_topic_score_gemma":0.000001917587,"domain_scores_codex":[0.9983116,0.000003404291,0.0005809959,0.0005214442,0.0001221626,0.0004603274],"domain_scores_gemma":[0.9991388,0.000005577919,0.0002503716,0.0004465731,0.000041252,0.0001174417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005126976,0.0001665029,0.7944858,0.0002980396,0.000123038,0.000005125613,0.0006030631,0.003014474,0.00001536757,0.1714097,0.006242629,0.02358502],"study_design_scores_gemma":[0.0008368384,0.0002510975,0.847471,0.00004986306,0.00002092975,0.00001802377,0.00005805819,0.07539635,0.0001021632,0.005560978,0.0696234,0.0006112712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166492,0.0005870839,0.0001995806,0.0003379086,0.0003124057,0.0002694949,0.00003585504,0.00008890688,0.08151962],"genre_scores_gemma":[0.990098,0.002951466,0.0007803891,0.0009548673,0.0002037575,0.000008329738,0.00005997076,0.00002808679,0.004915104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1658487,"threshold_uncertainty_score":0.9999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009032576643329631,"score_gpt":0.1783403217576475,"score_spread":0.1693077451143179,"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."}}