{"id":"W4405043145","doi":"10.1016/j.peh.2024.100317","title":"Decoding unintentional doping: A complex systems analysis of supplement use in sport","year":2024,"lang":"en","type":"article","venue":"Performance Enhancement & Health","topic":"Doping in Sports","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Decoding methods; Computer science; Psychology; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.002364606,0.0001304041,0.0004239994,0.0007027352,0.0002335075,0.0001055329,0.0001959276,0.00004135131,0.0007750973],"category_scores_gemma":[0.00001741176,0.0001330509,0.0001061798,0.001805532,0.0001132691,0.0004180659,0.00004638131,0.0001341432,0.00001764671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009109409,"about_ca_system_score_gemma":0.0005920778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091816,"about_ca_topic_score_gemma":0.005973775,"domain_scores_codex":[0.9974741,0.00006462591,0.0008234266,0.0003374315,0.0007588719,0.0005415093],"domain_scores_gemma":[0.999321,0.00005940756,0.0002157936,0.0001935143,0.00009021696,0.0001200449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002321241,0.0001557332,0.9296758,0.0007014369,0.0002692727,0.000006864353,0.009012333,0.004030661,0.00004141633,0.05084872,0.002163705,0.003070812],"study_design_scores_gemma":[0.0003715861,0.0002163335,0.6141463,0.00182417,0.0001698814,0.000001232065,0.004418056,0.1630153,0.00006622804,0.00002561692,0.2153306,0.0004147475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928252,0.0005056168,0.002354746,0.0008314162,0.001039359,0.000559519,0.00002066241,0.00006829685,0.001795147],"genre_scores_gemma":[0.9960352,0.001546611,0.0009296075,0.000122511,0.00009949812,0.00006265513,0.0001748484,0.00001036109,0.001018751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3155296,"threshold_uncertainty_score":0.9956682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09000697048599678,"score_gpt":0.3912255275580171,"score_spread":0.3012185570720204,"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."}}