{"id":"W4409973200","doi":"10.1016/j.jsams.2025.04.009","title":"Implicit doping attitude and athletes' accuracy in avoiding unintentional doping when being offered beverages with banned performance-enhancing substances","year":2025,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Doping in Sports","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Athletes; Doping; Performance enhancement; Psychology; Computer science; Simulation; Materials science; Medicine; Physical medicine and rehabilitation; Physical therapy; Optoelectronics","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":[0.007082402,0.0001311114,0.0004015506,0.0008766747,0.0006540692,0.00008788343,0.0003183676,0.00005140933,0.00001526217],"category_scores_gemma":[0.0009643378,0.00009845667,0.00002056078,0.001256273,0.001556067,0.001514649,0.00006460035,0.0003986777,1.324093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002936262,"about_ca_system_score_gemma":0.0009524522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007289415,"about_ca_topic_score_gemma":0.001565681,"domain_scores_codex":[0.9976688,0.00003169358,0.0006582058,0.00026693,0.0009449653,0.0004294157],"domain_scores_gemma":[0.9987604,0.0002464962,0.0003780202,0.00009104345,0.0003847044,0.0001393311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004711531,0.00001638525,0.9729688,0.00006476758,0.000007349704,0.00006530262,0.01650812,0.00005697984,0.001391307,0.00262547,0.00003231877,0.006216072],"study_design_scores_gemma":[0.0009758533,0.0001273332,0.9562617,0.009282438,0.00002062285,0.00005704603,0.03050736,0.000148888,0.0003392528,0.001232478,0.0008979281,0.0001490836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915103,0.0009398623,0.0001511314,0.002863773,0.0004448518,0.0001588515,1.241101e-7,0.0000091068,0.003921972],"genre_scores_gemma":[0.9965755,0.002138876,0.0006320832,0.0003180677,0.0001746852,0.000002855381,2.925599e-7,0.000004555748,0.0001530998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167071,"threshold_uncertainty_score":0.5733393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606073883273507,"score_gpt":0.3176909139223547,"score_spread":0.3016301750896196,"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."}}