{"id":"W4376871288","doi":"10.1093/ije/dyad059","title":"Electronic cigarettes and health outcomes: epidemiological and public health challenges","year":2023,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Epidemiology; Public health; Environmental health; Medicine; Gerontology; Nursing; Pathology","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":[0.02452707,0.001086943,0.004004121,0.004902622,0.00115963,0.004763781,0.002541848,0.004579492,0.01031638],"category_scores_gemma":[0.05511769,0.0009610559,0.003805053,0.01089876,0.002304289,0.005849667,0.004215028,0.005850707,0.001103764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003360508,"about_ca_system_score_gemma":0.006944342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01692415,"about_ca_topic_score_gemma":0.01702851,"domain_scores_codex":[0.9763744,0.01099962,0.003740567,0.002570234,0.005549578,0.00076551],"domain_scores_gemma":[0.9018014,0.07495156,0.009264895,0.00181019,0.01108502,0.001087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008213907,0.0003822995,0.1039784,0.1185091,0.006831273,0.0005165434,0.001573221,0.001223566,0.0002035154,0.04052457,0.09488617,0.6305499],"study_design_scores_gemma":[0.0002135947,0.0006525861,0.217657,0.2488693,0.00858189,0.002670597,0.005366739,0.001801023,0.0003629666,0.08487418,0.4285495,0.0004006207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002879204,0.9578375,0.000607459,0.03305236,0.001144241,0.00005103187,0.002232897,0.00001160182,0.002183594],"genre_scores_gemma":[0.03909715,0.937073,0.001477153,0.01473539,0.005074583,0.0002447198,0.001822795,0.00001858795,0.0004565091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02452707,"threshold_uncertainty_score":0.1297131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2708613425341554,"score_gpt":0.4600491990142606,"score_spread":0.1891878564801051,"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."}}