{"id":"W4391969753","doi":"10.1016/j.oor.2024.100214","title":"Warning on every puff: Learning from Canada's innovative tobacco control strategy","year":2024,"lang":"en","type":"article","venue":"Oral Oncology Reports","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tobacco control; Aeronautics; Control (management); Business; Advertising; Engineering; Computer science; Medicine; Artificial intelligence; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01099029,0.0009610293,0.0004434634,0.00145176,0.01295116,0.009559178,0.002891005,0.008616732,0.006155514],"category_scores_gemma":[0.01678665,0.0004614697,0.0007631003,0.001423746,0.008199314,0.003763214,0.005734798,0.013833,0.0008422919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06911962,"about_ca_system_score_gemma":0.3264762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9373773,"about_ca_topic_score_gemma":0.974844,"domain_scores_codex":[0.9914642,0.002089023,0.0002380759,0.0003920673,0.003142363,0.00267434],"domain_scores_gemma":[0.9757625,0.004450747,0.0005405578,0.00046712,0.006493504,0.01228552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001568786,0.0006701887,0.01213634,0.0005992881,0.00008207526,0.002357698,0.01463237,0.001037907,0.001333298,0.06709523,0.6886712,0.2112275],"study_design_scores_gemma":[0.0001791632,0.0002904985,0.01069862,0.001542589,0.0001378816,0.0006677837,0.02504468,0.001017491,0.001527392,0.01606093,0.9425657,0.0002672213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01426474,0.006066284,0.0009299013,0.9505225,0.002734866,0.000119407,0.0001182776,0.0001065309,0.0251376],"genre_scores_gemma":[0.3362981,0.03585771,0.01531718,0.5447283,0.002634641,0.000245988,0.0003940508,0.0002276514,0.0642964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06911962,"threshold_uncertainty_score":0.5015002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187249826969043,"score_gpt":0.3241738236282818,"score_spread":0.2923013253585914,"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."}}