{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006719246,0.0006778725,0.0004402228,0.001805416,0.0019751,0.005738874,0.000451588,0.001667996,0.03469338],"category_scores_gemma":[0.001334508,0.0002247624,0.0002430648,0.002194772,0.004419637,0.003899756,0.001666653,0.002460604,0.006879274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002852902,"about_ca_system_score_gemma":0.002188924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007450531,"about_ca_topic_score_gemma":0.0264106,"domain_scores_codex":[0.9995436,0.0002468567,0.000009323127,0.00003013477,0.0001280935,0.00004193186],"domain_scores_gemma":[0.9994982,0.0003320384,0.00001547329,0.00002265431,0.00006707484,0.00006442852],"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":[0.000006697659,0.00002313136,0.00008792878,0.00008334923,0.000003236859,0.00003455417,0.00152285,0.0001436795,0.00005156831,0.68102,0.278548,0.03847498],"study_design_scores_gemma":[0.00000245971,0.000004256495,0.0002384415,0.0001397656,0.000001689567,0.00002928323,0.001373368,0.0001207667,0.00002014091,0.2721734,0.7258939,0.000002517286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006279903,0.02809636,0.001435563,0.01743722,0.001968113,0.00001369169,0.0000778576,0.00003480861,0.9503085],"genre_scores_gemma":[0.038265,0.04185981,0.002227527,0.008560312,0.004679793,0.00008361629,0.0001972541,0.0001102927,0.9040164],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03469338,"threshold_uncertainty_score":0.116061,"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."}}