{"id":"W2918989730","doi":"10.18060/22898","title":"A Content Analysis of the Journal of Legal Aspects of Sport: 1992-2016","year":2018,"lang":"en","type":"article","venue":"Journal of Legal Aspects of Sport","topic":"Doping in Sports","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Content analysis; Legislation; Diversity (politics); Miller; Appeal; Liability; Variety (cybernetics); Political science; Public relations; Law; Sociology; Social science","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":[0.004506322,0.00026138,0.00165751,0.0008880684,0.0001745113,0.00004595376,0.001365398,0.0001751808,0.0004765026],"category_scores_gemma":[0.0003036175,0.0001780878,0.00132064,0.001880703,0.00137489,0.0008690395,0.0001133933,0.0005652963,0.000002407985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772862,"about_ca_system_score_gemma":0.002725172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006640811,"about_ca_topic_score_gemma":0.00377034,"domain_scores_codex":[0.9935938,0.000049937,0.002900664,0.0001937528,0.002803049,0.0004588111],"domain_scores_gemma":[0.9885613,0.00006366859,0.007743339,0.000492327,0.002841013,0.0002983876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001417853,0.001676943,0.8426397,0.000126124,0.005047244,0.0009719388,0.0108442,0.0004753306,0.007164767,0.1232458,0.00504375,0.0013464],"study_design_scores_gemma":[0.001490348,0.001479785,0.9091704,0.001025563,0.00347892,0.0003297517,0.005567789,0.00001942172,0.01988142,0.001470458,0.05573266,0.0003535167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492028,0.0004851235,0.00003032156,0.001051827,0.001450742,0.0001707231,0.00001126215,0.000006807603,0.04759035],"genre_scores_gemma":[0.9972585,0.0001838796,0.0004779326,0.00008350678,0.001179258,3.444363e-7,8.374027e-7,0.00002271509,0.0007929804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1217753,"threshold_uncertainty_score":0.9999741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524614024886484,"score_gpt":0.2968901165564707,"score_spread":0.2716439763076058,"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."}}