{"id":"W2804647866","doi":"10.1108/jbs-03-2017-0037","title":"Competitive vs coopetitive strategies: lessons from professional sport leagues","year":2018,"lang":"en","type":"article","venue":"Journal of Business Strategy","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"League; Professional sport; Coopetition; Competition (biology); Marketing; Originality; Revenue; Human capital; Attractiveness; Business; Economics; Sociology; Economic growth; Finance; Market economy; Qualitative research; Social 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004439349,0.0002006503,0.0006469364,0.000245454,0.0001577293,0.0001732534,0.0003165931,0.0001211836,0.002589929],"category_scores_gemma":[0.0000304987,0.0001802279,0.0001275839,0.0003991653,0.0002420756,0.000807488,0.00004236611,0.0002950189,0.0002182542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006599751,"about_ca_system_score_gemma":0.000342201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005358615,"about_ca_topic_score_gemma":0.0001623649,"domain_scores_codex":[0.9983451,0.000007826096,0.001004803,0.0002517312,0.0001136573,0.0002768647],"domain_scores_gemma":[0.9975255,0.00003710161,0.001284243,0.0001956569,0.0008420465,0.0001155085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003838525,0.0003588704,0.06035648,0.00003994668,0.0002586926,0.0001462296,0.0008602829,0.001057996,0.00006749378,0.9330176,0.002692132,0.0007604953],"study_design_scores_gemma":[0.001117358,0.0003968304,0.8494196,0.0002977677,0.00003398245,0.00005482148,0.003428697,0.001307058,0.0001681893,0.02940734,0.113937,0.0004313364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367499,0.001138112,0.002470513,0.001436578,0.002251594,0.0001092588,0.0002650201,0.00001462668,0.05556444],"genre_scores_gemma":[0.9963452,0.0006075633,0.0002751969,0.0001981399,0.001593509,0.000001288577,0.0000305742,0.00002289586,0.0009256225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9036102,"threshold_uncertainty_score":0.9983218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367297525888838,"score_gpt":0.2756464890338401,"score_spread":0.2319735137749517,"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."}}