{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002340755,0.002561912,0.002577603,0.008253827,0.003357046,0.004812876,0.005109365,0.001369252,0.1065153],"category_scores_gemma":[0.01736403,0.001740057,0.002228352,0.03985889,0.0006062649,0.002608733,0.002132864,0.002991665,0.06051385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05381919,"about_ca_system_score_gemma":0.133555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995619,"about_ca_topic_score_gemma":0.9932033,"domain_scores_codex":[0.9958468,0.0003085117,0.0004821079,0.0005193772,0.001907078,0.0009361486],"domain_scores_gemma":[0.9684653,0.001005222,0.0008797299,0.0008953076,0.02724673,0.001507838],"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":[0.0000298435,0.000006871662,0.001118085,0.0002948531,0.00002265332,0.000007919756,0.00002544884,0.0001065095,0.00001008239,0.0003785191,0.9956578,0.002341496],"study_design_scores_gemma":[0.000138936,0.00001436023,0.02600678,0.0009902572,0.00007984537,0.00002955138,0.0005269051,0.0004589533,0.0001455576,0.0005882902,0.9709342,0.00008631647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006253827,0.00007447065,0.00003654288,0.0001456632,0.00004270808,0.00002317288,0.9981683,0.00007234469,0.0013742],"genre_scores_gemma":[0.001103527,0.0004561813,0.0005669636,0.0001983078,0.00002331825,0.0001782174,0.9909216,0.000157143,0.006394661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1065153,"threshold_uncertainty_score":0.3904874,"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."}}