{"id":"W6913183253","doi":"10.5683/sp3/5hjhot","title":"Canadian Tobacco Use Monitoring Survey, 2005: Annual, Person File","year":2006,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Random digit dialing; Legislation; Legislature; Population; Telephone survey; Public health; National Health Interview Survey; Sample (material); Tobacco control; Official statistics","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":[0.001974702,0.0009019601,0.001183128,0.005690983,0.00189683,0.001795286,0.002770622,0.0007467421,0.05052723],"category_scores_gemma":[0.0107038,0.0007652365,0.0007085713,0.01929297,0.0002480851,0.001070038,0.0007147643,0.001081522,0.02364272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02125448,"about_ca_system_score_gemma":0.03897623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9637012,"about_ca_topic_score_gemma":0.9660637,"domain_scores_codex":[0.996903,0.0001707538,0.0003681763,0.0003568792,0.00186331,0.0003378933],"domain_scores_gemma":[0.9881127,0.0004090782,0.0006578625,0.0004344212,0.009876877,0.0005089553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005974829,0.00003391727,0.006682943,0.0002888794,0.00002502778,0.0000221756,0.00006347738,0.0001297813,0.00002872657,0.0003007631,0.9861442,0.006220387],"study_design_scores_gemma":[0.0002472986,0.00004004575,0.3380631,0.0003796034,0.00006986242,0.0001068098,0.0004758633,0.0007815021,0.00024406,0.0003552006,0.6591521,0.00008461612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004863517,0.00004277057,0.00005388212,0.00008622344,0.00001706808,0.0001302442,0.9968233,0.00005534564,0.002304846],"genre_scores_gemma":[0.004158589,0.0002632228,0.0009070507,0.000205101,0.00002316225,0.0006136324,0.9873815,0.00004082471,0.00640702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05052723,"threshold_uncertainty_score":0.1690304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04165760736729265,"score_gpt":0.271082660575117,"score_spread":0.2294250532078244,"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."}}