{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001853494,0.0009687921,0.001173571,0.005294336,0.002183571,0.00191683,0.003023879,0.0007548109,0.07907738],"category_scores_gemma":[0.01045748,0.0009286082,0.0007802069,0.02005736,0.0003318584,0.001160099,0.0007724959,0.001146872,0.04103132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02714596,"about_ca_system_score_gemma":0.04729681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9777817,"about_ca_topic_score_gemma":0.9798049,"domain_scores_codex":[0.9972876,0.0001450776,0.0002499634,0.0003153532,0.001641378,0.0003605636],"domain_scores_gemma":[0.9866304,0.0004609354,0.0005015197,0.0005966518,0.01124775,0.0005626903],"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":[0.0000465436,0.00002105736,0.003186535,0.0001376626,0.0000108626,0.00001027516,0.00003807835,0.00009430183,0.00002308041,0.0002270167,0.9922394,0.003965156],"study_design_scores_gemma":[0.0002080565,0.00002682562,0.2088235,0.0002314069,0.00004856333,0.00007002456,0.0004418009,0.0007362643,0.0003595879,0.0004233804,0.7885578,0.00007275218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002511,0.00002104868,0.00003759307,0.00006737191,0.00001335402,0.00007296509,0.9973014,0.00005753778,0.002177728],"genre_scores_gemma":[0.00285201,0.0001619419,0.0006694666,0.0001463366,0.00001500907,0.0004104885,0.9856834,0.00007217666,0.00998927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07907738,"threshold_uncertainty_score":0.2645402,"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."}}