{"id":"W2020271769","doi":"10.1177/1012690208094426","title":"Stand Up and Be Counted","year":2008,"lang":"en","type":"article","venue":"International Review for the Sociology of Sport","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Technocracy; Narrative; Context (archaeology); Politics; Sociology; Public relations; Aesthetics; Epistemology; Social science; Political science; Media studies; Law; History","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":[],"consensus_categories":[],"category_scores_codex":[0.0005501163,0.00003429935,0.000133212,0.000009208336,0.0002666814,0.000001028768,0.000136937,0.00003533277,0.0002717054],"category_scores_gemma":[0.0001113499,0.00002411948,0.00006856658,0.000009060699,0.001413187,0.00003452931,0.00001057034,0.00004732604,0.000005997891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000352471,"about_ca_system_score_gemma":0.00008367497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000177491,"about_ca_topic_score_gemma":0.00001861554,"domain_scores_codex":[0.9996247,0.000007943713,0.000147239,0.00006713303,0.00006368071,0.00008927489],"domain_scores_gemma":[0.9996674,0.0001250763,0.00006881114,0.00004058678,0.00006716987,0.00003093777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003235258,0.0000271832,0.01419435,0.0001115483,0.0001295485,0.000001886292,0.007692134,3.260052e-7,0.000003644225,0.8981269,0.07631958,0.003360528],"study_design_scores_gemma":[0.00009900997,0.00001158181,0.006493888,0.00003875584,0.00001541565,0.000003695746,0.0003911638,0.000004204393,0.000001024412,0.004731154,0.9881802,0.0000299347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7869415,0.09022593,0.00009045038,0.05839458,0.001914854,0.0005126346,0.00008827014,0.00002253987,0.06180924],"genre_scores_gemma":[0.8932148,0.09320232,0.00003402627,0.002531969,0.0001740797,0.00001766489,0.000007932273,0.000002406321,0.01081486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9118606,"threshold_uncertainty_score":0.5206948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07579506885253193,"score_gpt":0.3637503894537125,"score_spread":0.2879553206011806,"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."}}