{"id":"W4386503128","doi":"10.1016/j.peh.2023.100260","title":"Special considerations for muscle-building supplements policies in Canada: Social media and online markets, vulnerable populations, and social and commercial determinants of health","year":2023,"lang":"en","type":"article","venue":"Performance Enhancement & Health","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Social media; Business; Social determinants of health; Public relations; Political science; Economic growth; Economics; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001776017,0.0001866348,0.0005015394,0.0001502022,0.001603814,0.00001453929,0.00006356551,0.0001369425,0.0001435616],"category_scores_gemma":[0.00008173126,0.0002048781,0.00001994477,0.0001870041,0.0001611036,0.0001385486,0.00009067728,0.0006040884,4.8852e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003842458,"about_ca_system_score_gemma":0.00136038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0399902,"about_ca_topic_score_gemma":0.5010048,"domain_scores_codex":[0.9975241,0.0004522046,0.0008281209,0.0002733736,0.0001793974,0.0007428099],"domain_scores_gemma":[0.9988725,0.0005104197,0.0002899622,0.00005488857,0.00005777091,0.0002144833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003473461,0.0002273441,0.5610626,0.002110881,0.00003803647,0.000003142411,0.01223926,0.00001801725,0.0001848342,0.001508855,0.03617389,0.3860857],"study_design_scores_gemma":[0.002643338,0.0001534416,0.9670555,0.00007665106,0.00002234899,0.000003890603,0.002129725,0.005762917,0.0003858079,0.000378173,0.02117139,0.0002168273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758554,0.0004546197,0.000006912546,0.02125275,0.0007623483,0.0007715491,0.0008625766,0.00001565442,0.00001821135],"genre_scores_gemma":[0.9912724,0.003111811,0.0002612695,0.004127564,0.0009099605,0.00008186107,0.0001978694,0.00001447201,0.0000227957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4610146,"threshold_uncertainty_score":0.999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5214266950808921,"score_gpt":0.5487491807599456,"score_spread":0.02732248567905349,"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."}}