{"id":"W6931884166","doi":"10.5683/sp3/7flkhq","title":"Canadian Tobacco Use Monitoring Survey, 2010: Cycle 2, Person File","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Tobacco use; Data collection; Public health; Smoking epidemiology; National Health Interview Survey; Tobacco control; Smoking prevalence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267512,0.001815341,0.001644936,0.004551332,0.001644609,0.002031025,0.004031048,0.001269215,0.03234181],"category_scores_gemma":[0.007898341,0.001055544,0.001221995,0.01394889,0.0004305265,0.0008294707,0.001091305,0.001635278,0.02615994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01473607,"about_ca_system_score_gemma":0.02159162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9536105,"about_ca_topic_score_gemma":0.9737322,"domain_scores_codex":[0.9986419,0.00009218353,0.0001441738,0.0002589642,0.0005921281,0.000270592],"domain_scores_gemma":[0.9946919,0.0002997165,0.000361266,0.0004899711,0.003693163,0.0004639493],"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":[0.00005272611,0.00001816677,0.003154584,0.0002838465,0.00003009344,0.00001453636,0.00002024892,0.0002078137,0.00003091433,0.0003060823,0.994049,0.001832021],"study_design_scores_gemma":[0.0004537007,0.00002797053,0.1249374,0.0005784444,0.0001136562,0.0001042398,0.0002180087,0.001357407,0.0004480631,0.0008313239,0.8708438,0.00008596668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001449035,0.00003489253,0.00002569655,0.000027242,0.000007011432,0.00001359631,0.9992508,0.0000455798,0.0004501809],"genre_scores_gemma":[0.0007099328,0.00005806508,0.0001524607,0.00003392926,0.000004296423,0.00006131924,0.9979416,0.00001775654,0.001020562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04638952,"threshold_uncertainty_score":0.1081941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001686423607171,"score_gpt":0.3159610896613798,"score_spread":0.2157924473006626,"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."}}