{"id":"W2110722122","doi":"10.1123/jsm.25.6.562","title":"Look Who’s Linked With Whom: A Case Study of One Community Basketball Network","year":2011,"lang":"en","type":"article","venue":"Journal of Sport Management","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Basketball; Social network analysis; Social network (sociolinguistics); Power (physics); Network structure; Marketing; Public relations; Business; Knowledge management; Sociology; Political science; Computer science; Social capital; Social science; Geography; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003141119,0.0001320511,0.000418366,0.0001585511,0.0004249138,0.00003655389,0.0004170177,0.00004830253,0.0002649071],"category_scores_gemma":[0.000007514431,0.000105664,0.00009122619,0.0003857441,0.0001446547,0.0002955573,0.000102933,0.0003514045,0.000003841341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009281666,"about_ca_system_score_gemma":0.000121627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009418785,"about_ca_topic_score_gemma":0.01378612,"domain_scores_codex":[0.9981904,0.00007861658,0.0005858213,0.00009017761,0.0007318605,0.0003230961],"domain_scores_gemma":[0.9983461,0.00001712711,0.0008552558,0.0003138835,0.0002360831,0.000231581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009665852,0.008278766,0.7772675,0.0001168848,0.001547451,0.01983765,0.1713493,0.0002209037,0.000001330694,0.007516997,0.0053408,0.007555886],"study_design_scores_gemma":[0.003885734,0.003830691,0.6950462,0.0005730375,0.001157769,0.0002947749,0.2221193,0.000004310042,0.000007334436,0.0006371678,0.07207633,0.0003673811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633594,0.00006158404,0.00004743468,0.00006751942,0.0002217441,0.0004969341,3.146733e-7,0.00001380897,0.03573124],"genre_scores_gemma":[0.9964976,0.0001085244,0.001078325,0.0001125401,0.0002136109,0.000003605418,5.716234e-7,0.00001317927,0.001972006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08222122,"threshold_uncertainty_score":0.9971776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000796166946803,"score_gpt":0.3072982793419582,"score_spread":0.207218662647278,"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."}}