{"id":"W6920419841","doi":"10.6068/dp14ba80286b995","title":"Trend 1996 - 2004. Statistics Canada. CANSIM: Travel and Tourism - Domestic Travel | Country: Canada | Table: Canadian travel survey, traveller characteristics, by province of destination | Variable: Age group, 15 to 19 years, Overnight travel | Units: # Person-trips x 1,000, 1996-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-199.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Census; Economic statistics; Official statistics; Socioeconomic status; Descriptive statistics; Summary statistics; Statistical analysis","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":[0.0008857934,0.0009679844,0.001444842,0.0001996901,0.0002023806,0.0001696025,0.001525279,0.0006778775,0.0005182145],"category_scores_gemma":[0.0003668221,0.001003869,8.468406e-7,0.0003687019,0.0003094901,0.00002865763,0.0002832724,0.0006358896,0.000003816706],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003304163,"about_ca_system_score_gemma":0.01274941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998686,"about_ca_topic_score_gemma":0.9998028,"domain_scores_codex":[0.9949256,0.0004119385,0.0009908245,0.001624354,0.0009254892,0.001121818],"domain_scores_gemma":[0.9958217,0.0002989374,0.0007036724,0.001833238,0.0001202674,0.001222236],"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":[0.0001332408,0.0000987872,0.00003725101,0.0003730589,0.0004553117,0.0005299418,0.000005782829,0.000001905545,0.0006717164,0.0001539807,0.9972649,0.0002741075],"study_design_scores_gemma":[0.001086341,0.0002527776,0.0008960646,0.00003422721,0.0004155589,0.0001337157,0.0001832391,0.0002209112,0.000001886925,2.090607e-7,0.9956347,0.001140415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008109329,0.007243985,0.0001503922,0.000006866723,0.0006654284,0.0008952395,0.9895757,0.00001192878,0.001442389],"genre_scores_gemma":[0.0005272427,0.002159788,0.0003742635,0.0003660488,0.0002847378,0.00002297346,0.9871986,0.0002580016,0.008808365],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01241899,"threshold_uncertainty_score":0.9992412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767465501883041,"score_gpt":0.2272121737661876,"score_spread":0.2095375187473572,"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."}}