{"id":"W4381747498","doi":"10.3389/978-2-8325-2672-9","title":"Insights in sports social science","year":2023,"lang":"en","type":"book","venue":"Frontiers research topics","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Kennesaw State University; Fundação para a Ciência e a Tecnologia; United States Agency for International Development","keywords":"Sports science; Data science; Computer science; Sociology; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.004761342,0.0002154606,0.0004413589,0.0009638317,0.002285678,0.0002733392,0.001321532,0.0007700311,0.0001291255],"category_scores_gemma":[0.0005651696,0.0002333871,0.0001870585,0.001798321,0.004383902,0.0002903172,0.0003511536,0.001636197,0.00006412046],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003300486,"about_ca_system_score_gemma":0.01089232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006794119,"about_ca_topic_score_gemma":0.001299614,"domain_scores_codex":[0.9928247,0.0002527957,0.0003727947,0.0007768006,0.00442537,0.001347581],"domain_scores_gemma":[0.9985704,0.00003371697,0.0001079387,0.0003934548,0.0005699251,0.0003245081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005584508,0.00002412712,0.0007717644,0.00003053408,0.00001030491,0.0001379041,0.07985629,3.936668e-7,8.586424e-7,0.07462096,0.8370094,0.007531906],"study_design_scores_gemma":[0.0001145986,0.00001391929,0.00297718,0.00004361269,0.000004443859,8.608266e-8,0.03667995,0.000008407276,0.000001291389,0.06141499,0.8985114,0.000230148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006774138,0.0007214965,0.00001852567,0.003049032,0.003259621,0.0006357993,0.00001031206,0.0001273543,0.9915004],"genre_scores_gemma":[0.0005089254,0.001857575,0.0001371098,0.00008914572,0.003289617,0.00003526831,0.00002917897,0.00004440762,0.9940088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.061502,"threshold_uncertainty_score":0.9990132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059661618939075,"score_gpt":0.400281980257018,"score_spread":0.2943158183631105,"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."}}