{"id":"W4413016938","doi":"10.12688/wellcomeopenres.24597.1","title":"States, law, and the regulation of controversial health-related claims: consolidating a research agenda between disciplines and contexts","year":2025,"lang":"en","type":"preprint","venue":"Wellcome Open Research","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Wellcome Trust","keywords":"Political science; Law; Law and economics; Engineering ethics; Sociology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","open_science"],"consensus_categories":["sts"],"category_scores_codex":[0.04862024,0.0002817498,0.001333045,0.0006320845,0.001686607,0.001161949,0.001442806,0.0003866482,0.00008998385],"category_scores_gemma":[0.003199227,0.0002040485,0.00008475932,0.0008993478,0.002743295,0.0004314913,0.01254502,0.002117324,0.00002007898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562823,"about_ca_system_score_gemma":0.0005642417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3021128,"about_ca_topic_score_gemma":0.003082401,"domain_scores_codex":[0.9927374,0.002774646,0.001506464,0.0008612517,0.0008463704,0.00127386],"domain_scores_gemma":[0.9903844,0.006761741,0.0007140931,0.0007617833,0.001284632,0.00009335023],"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":[0.0006207238,0.00004717912,0.003408128,0.003033329,0.0001964996,0.000003187517,0.0006939108,0.0002329611,0.000004302871,0.7330524,0.2529102,0.005797115],"study_design_scores_gemma":[0.005387387,0.00008212831,0.01432525,0.001531404,0.00004619677,0.000002585382,0.003230102,0.02572399,0.000002344113,0.3511289,0.5982037,0.0003359489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1656125,0.005330041,0.00007396981,0.6128525,0.0007624648,0.01298861,0.0005365007,0.00008579865,0.2017576],"genre_scores_gemma":[0.9903573,0.001027425,0.0000990542,0.00506108,0.0007061622,0.0002347343,0.0004720501,0.00003116832,0.002011021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8247448,"threshold_uncertainty_score":0.9999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2139893672156805,"score_gpt":0.4704795092288871,"score_spread":0.2564901420132067,"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."}}