{"id":"W2595096555","doi":"10.7206/jmba.ce.2450-7814.177","title":"Identification of Factors Determining Market Value of the Most Valuable Football Players","year":2016,"lang":"en","type":"article","venue":"Journal of Management and Business Administration Central Europe","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Football; Valuation (finance); Identification (biology); Market value; Goodwill; Value (mathematics); Econometric model; Marketing; Economics; Actuarial science; Business; Econometrics; Computer science; Accounting; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004460085,0.00008083653,0.0001966416,0.0001168415,0.00004806903,0.00003871482,0.0001680178,0.00002373993,0.0001054951],"category_scores_gemma":[0.00005930712,0.00005154146,0.00005839165,0.00025135,0.00005381754,0.0002720199,0.0000345843,0.00003669272,0.000001052097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001742089,"about_ca_system_score_gemma":0.00002576585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005180579,"about_ca_topic_score_gemma":0.000002112033,"domain_scores_codex":[0.9988499,0.00001046416,0.0008390525,0.00010224,0.00008878487,0.0001095356],"domain_scores_gemma":[0.9982638,0.00002109135,0.001411745,0.0001335964,0.0001352904,0.00003441242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001501669,0.0001893032,0.9091504,0.0002778351,0.0001945238,0.000009370659,0.0001628478,0.00072606,0.0008001685,0.08216801,0.00130157,0.004869702],"study_design_scores_gemma":[0.0004563069,0.00006251787,0.987412,0.0001062204,0.00004065995,0.000005371276,0.00004955908,0.001595883,0.001271111,0.0005144427,0.008402248,0.00008361635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917279,0.0001730852,0.004347268,0.0003580612,0.0004962765,0.00009101278,0.00002410499,0.000001932252,0.002780362],"genre_scores_gemma":[0.9970871,0.001240548,0.00008390491,0.00002197966,0.00004300112,3.922471e-7,0.000001223547,0.000007174784,0.001514631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08165357,"threshold_uncertainty_score":0.21018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213722007649999,"score_gpt":0.2117908185905565,"score_spread":0.1896535985140566,"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."}}