{"id":"W4245730236","doi":"10.5040/9781509905911.ch-014","title":"The Commercial Rationale of the World Anti-Doping Code","year":2016,"lang":"en","type":"book-chapter","venue":"Hart Publishing eBooks","topic":"Doping in Sports","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Code (set theory); Business; Computer science; Programming language","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":[0.002737592,0.000751601,0.0003728482,0.002459207,0.004330449,0.009393305,0.001019462,0.008529631,0.01988986],"category_scores_gemma":[0.008343795,0.0006166964,0.0004163143,0.002090405,0.01100345,0.005607367,0.002382944,0.0107884,0.007667384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0035242,"about_ca_system_score_gemma":0.006634872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596204,"about_ca_topic_score_gemma":0.02127474,"domain_scores_codex":[0.9965839,0.0008510842,0.0001242779,0.0003190294,0.001712979,0.0004086601],"domain_scores_gemma":[0.9966936,0.001828594,0.0001525982,0.000250803,0.0008969082,0.0001775333],"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":[0.00000687331,0.000008387292,0.00003303833,0.00001900992,0.000001329383,0.00002412162,0.000405976,0.00002443076,0.00005135845,0.9204374,0.06852445,0.0104637],"study_design_scores_gemma":[0.000006738392,0.000009186868,0.0001875087,0.0002307096,0.000004394107,0.00006743539,0.0003152681,0.0001318496,0.0001820247,0.1112906,0.8875602,0.00001403161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0010563,0.00855153,0.002041836,0.02696476,0.004551593,0.00003552177,0.00008854728,0.00008290695,0.956627],"genre_scores_gemma":[0.05282626,0.007739277,0.003732276,0.03991017,0.003404774,0.0002175458,0.0001200282,0.0002951954,0.8917545],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01988986,"threshold_uncertainty_score":0.06653821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05142145441019064,"score_gpt":0.2872227770636806,"score_spread":0.23580132265349,"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."}}