{"id":"W2344955939","doi":"10.1123/jsm.2015-0368","title":"An Analysis of Countries’ Organizational Resources, Capacities, and Resource Configurations in Athletics","year":2016,"lang":"en","type":"article","venue":"Journal of Sport Management","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elite; Organizational performance; Business; Organizational behavior and human resources; Prioritization; Order (exchange); Resource (disambiguation); Resource management (computing); Knowledge management; Organizational commitment; Process management; Public relations; Marketing; Political science; Computer science; Politics","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":[0.001111045,0.00006762386,0.0002376848,0.0005688038,0.00009189728,0.00002944358,0.000163479,0.00004339221,0.000519742],"category_scores_gemma":[0.00002471112,0.00005088128,0.00004922444,0.0005725519,0.0002217243,0.0002294022,0.00001585207,0.00004822074,0.000001246356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215752,"about_ca_system_score_gemma":0.00008653478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001704862,"about_ca_topic_score_gemma":0.0008216036,"domain_scores_codex":[0.9987215,0.00002000076,0.0004615548,0.00008843986,0.0005557854,0.000152763],"domain_scores_gemma":[0.9991231,0.00002737235,0.0004211459,0.0001127205,0.0001906223,0.0001250614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001007098,0.0002088529,0.6437268,0.00002523142,0.000502101,0.0001102058,0.01872981,0.0003231912,0.0000979952,0.3327022,0.001624929,0.001847943],"study_design_scores_gemma":[0.0005216958,0.00006732233,0.4231081,0.00007646798,0.0004814921,0.000002485466,0.008843665,0.00001305427,0.00003421143,0.0003992196,0.5663542,0.00009819383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904948,0.0001134409,0.0002689539,0.001292989,0.00006197213,0.00009254835,0.000008541695,0.000005694185,0.007661031],"genre_scores_gemma":[0.9974549,0.0005828111,0.0002668481,0.0001321109,0.0000821447,6.592557e-7,0.000005716713,0.000005606522,0.001469163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5647292,"threshold_uncertainty_score":0.569081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056400890208807,"score_gpt":0.2684399019951618,"score_spread":0.2578758930930737,"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."}}