{"id":"W6894174886","doi":"10.5683/sp3/mmhzr9","title":"Canadian Tobacco Use Monitoring Survey, 2003: Annual, Person File","year":2004,"lang":"en","type":"dataset","venue":"Borealis","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Legislation; Legislature; Telephone survey; Public health; Public use; Random digit dialing; Telephone number","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003474507,0.0003490149,0.0003271069,0.0003288678,0.0002855169,0.0007951992,0.001877031,0.0003664334,0.0001677306],"category_scores_gemma":[0.0008196008,0.0003563467,0.00007277803,0.0009624869,0.00004252758,0.0007918683,0.0001676765,0.0003848073,0.0001449038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008843892,"about_ca_system_score_gemma":0.002450046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965463,"about_ca_topic_score_gemma":0.9583634,"domain_scores_codex":[0.997867,0.0001144669,0.0002693368,0.0006351536,0.0004256831,0.0006883664],"domain_scores_gemma":[0.9964403,0.0001392222,0.000166268,0.002050901,0.0004342298,0.0007691078],"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":[0.000001149426,0.00002942499,0.00006510683,0.00000861973,0.00001929085,0.00002583571,0.00009268634,0.00001520076,1.54131e-7,0.00007861929,0.997131,0.002532938],"study_design_scores_gemma":[0.00008501608,0.00004458331,0.05759364,0.00007102508,0.00001039929,0.0000102108,0.00002648515,0.00001761638,0.000004300487,0.0000157072,0.9417558,0.0003651983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001289161,0.0001014705,0.0003157956,0.0003352486,0.0002783944,0.0002880816,0.9984285,0.00006996498,0.000169605],"genre_scores_gemma":[0.00003368772,0.0002988329,0.001194481,0.0003309356,0.0002444876,0.0000688856,0.9975514,0.00001996566,0.0002572925],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05752854,"threshold_uncertainty_score":0.9998888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05148451761933674,"score_gpt":0.2817021656047075,"score_spread":0.2302176479853708,"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."}}