{"id":"W2114810463","doi":"10.1136/tc.2010.041277","title":"Not just ‘a few wisps’: real-time measurement of tobacco smoke at entrances to office buildings","year":2010,"lang":"en","type":"article","venue":"Tobacco Control","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto; Ontario Tobacco Research Unit","funders":"School for Public Health Research","keywords":"Smoke; Tobacco smoke; Advertising; Environmental health; Business; Telecommunications; Computer science; Engineering; Medicine; Waste management","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007894385,0.0002411788,0.0005436521,0.0001429765,0.0001005408,0.00002908333,0.0002089421,0.0001797089,0.001003197],"category_scores_gemma":[0.0002624434,0.0002177678,0.0001693119,0.0002271022,0.00007246681,0.0001081887,0.00003861132,0.0002528845,0.00009084346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001830087,"about_ca_system_score_gemma":0.0001264835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007765538,"about_ca_topic_score_gemma":0.00030038,"domain_scores_codex":[0.9976589,0.00004089261,0.0004851593,0.0004000681,0.00101345,0.0004015315],"domain_scores_gemma":[0.9983912,0.00008575075,0.0002019223,0.0005731132,0.0004901079,0.0002578896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008215036,0.0001546286,0.4255231,0.00002366266,0.00006004795,0.000007213989,0.0001690981,0.000007192864,0.5586539,0.0001080344,0.001434751,0.01303692],"study_design_scores_gemma":[0.00395457,0.0002957956,0.8597506,0.0001202389,0.0004856611,0.00001837001,0.00006154017,0.000006196621,0.1296627,0.000004422033,0.005398375,0.0002416241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992408,0.0000382755,0.00006301906,0.001726375,0.0005897534,0.0008418432,0.00002918483,0.000122688,0.004180796],"genre_scores_gemma":[0.9980943,0.00001803014,0.0002161685,0.0007181963,0.0003571095,0.00006612932,0.00001532471,0.00003565083,0.0004791445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4342275,"threshold_uncertainty_score":0.99991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03039592188422275,"score_gpt":0.2850372643684123,"score_spread":0.2546413424841896,"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."}}