{"id":"W2159978532","doi":"10.1007/s00181-009-0315-5","title":"Are sports teams multiproduct firms?","year":2009,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Economics; Production (economics); Econometrics; Context (archaeology); Aggregate (composite); Estimation; Scope (computer science); Function (biology); Microeconomics; Economies of scope; Economies of scale; Substitution (logic); 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":["insufficient_payload"],"category_scores_codex":[0.0003912527,0.0002270854,0.0005446099,0.0001726192,0.0001208493,0.00009984917,0.0002784642,0.0001422887,0.001110513],"category_scores_gemma":[0.00007130598,0.0002533059,0.0001943985,0.0001613658,0.00005182075,0.0002836075,0.00003772124,0.0002147969,0.0009027236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450502,"about_ca_system_score_gemma":0.00002439203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003058016,"about_ca_topic_score_gemma":0.00001504224,"domain_scores_codex":[0.9981254,0.000003284539,0.0007980407,0.00062437,0.00002804009,0.000420867],"domain_scores_gemma":[0.9985471,0.00001820883,0.00064117,0.000584021,0.00002481788,0.0001847344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003104645,0.0002962316,0.9259667,0.00001224351,0.00003839623,0.00002376927,0.000244304,0.004471723,0.000001318263,0.0383956,0.02261513,0.007903581],"study_design_scores_gemma":[0.000319462,0.00004966038,0.5274967,0.00000746859,0.000004406034,0.000008598207,0.00003178803,0.01544646,0.00002279167,0.02495937,0.4312747,0.0003786487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607149,0.000692613,0.0002498818,0.005795924,0.000647912,0.0001475154,0.00006461282,0.00007264186,0.03161399],"genre_scores_gemma":[0.990395,0.000452511,0.0004198864,0.005548622,0.000525592,0.000004491215,0.00001895018,0.00002552859,0.00260939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4086595,"threshold_uncertainty_score":0.9999919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04443008229496645,"score_gpt":0.2565287068317177,"score_spread":0.2120986245367512,"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."}}