{"id":"W4398773707","doi":"10.53555/kuey.v30i5.4376","title":"Anti-Doping Laws In India; An Analysis Of Institution And Liability Mechanism","year":2024,"lang":"en","type":"article","venue":"","topic":"Doping in Sports","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency; Australian Government","keywords":"Mechanism (biology); Liability; Institution; Law and economics; Law; Business; Political science; Economics; Physics; Quantum mechanics","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":[0.003372166,0.0001751838,0.0002274139,0.003045493,0.00550497,0.008180312,0.00156618,0.002977166,0.002857749],"category_scores_gemma":[0.007598516,0.0004607119,0.000624417,0.002159939,0.01153443,0.002074,0.003468768,0.0028259,0.0003829193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008231387,"about_ca_system_score_gemma":0.0119181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02655119,"about_ca_topic_score_gemma":0.02522119,"domain_scores_codex":[0.9927722,0.002043839,0.0004078603,0.0005019099,0.002661526,0.001612774],"domain_scores_gemma":[0.9885017,0.006111272,0.002849332,0.0008153991,0.001293327,0.0004290701],"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":[0.00001315258,0.00003371017,0.007667326,0.00005153489,0.0000108005,0.0004425177,0.003005515,0.0005280232,0.0002296293,0.9811554,0.001224026,0.005638439],"study_design_scores_gemma":[0.00004893079,0.0002983907,0.1824392,0.001330926,0.0003732065,0.004250837,0.02839085,0.009981215,0.005718353,0.4919371,0.2749058,0.0003251683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3432673,0.005088625,0.01739084,0.02556628,0.0002641497,0.0002274077,0.00019938,0.0001461434,0.6078499],"genre_scores_gemma":[0.9841501,0.00113012,0.001833498,0.001189068,0.00005768473,0.00005244516,0.00002440811,0.000009038145,0.01155371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02655119,"threshold_uncertainty_score":0.0597232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198048846729914,"score_gpt":0.3376602270684328,"score_spread":0.3156797386011336,"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."}}