{"id":"W2656205379","doi":"10.5539/ibr.v10n7p99","title":"Identification, Priorization and Management of Professional Football Clubs’ Stakeholders","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Club; Legitimacy; Football; Flexibility (engineering); Identification (biology); Articulation (sociology); Business; Set (abstract data type); Football club; Stakeholder; Public relations; Marketing; Political science; Politics; Computer science; Management; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007313772,0.0003527816,0.0002633448,0.002879375,0.003826797,0.004764131,0.0009181735,0.001115288,0.004232797],"category_scores_gemma":[0.01497298,0.0003260977,0.0002643238,0.001545165,0.002361546,0.003716724,0.003626195,0.0006332198,0.0003837671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005565814,"about_ca_system_score_gemma":0.006500776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009986389,"about_ca_topic_score_gemma":0.01518513,"domain_scores_codex":[0.9917767,0.005079591,0.0003757349,0.0006898555,0.001048016,0.00103019],"domain_scores_gemma":[0.9923254,0.004044561,0.001137118,0.0003557773,0.001230413,0.000906688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003431658,0.0003854665,0.2819542,0.0009703687,0.00005268089,0.0046576,0.4285435,0.002514997,0.01031649,0.1009245,0.00249154,0.1668455],"study_design_scores_gemma":[0.00001715416,0.0002561538,0.1806561,0.001026169,0.00004820938,0.001572988,0.7061818,0.005818429,0.003003289,0.02731719,0.07402694,0.00007554924],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328769,0.0005784844,0.02684223,0.002309041,0.0000270533,0.000467583,0.0001799803,0.00002979862,0.03668894],"genre_scores_gemma":[0.9927793,0.0001077893,0.005258711,0.00006163611,0.000003880976,0.0000990464,0.00008583065,0.000006220547,0.001597557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009986389,"threshold_uncertainty_score":0.04038292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2757013565978391,"score_gpt":0.4939706599020591,"score_spread":0.2182693033042201,"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."}}