{"id":"W6958093082","doi":"10.6068/dp14ba7c1cdc873","title":"Trend 2006 - 2010. Statistics Canada. CANSIM: Travel and Tourism - Tourism Indicators | Country: Canada | Table: Travel survey of residents of Canada, reallocated expenditures, by travel characteristics | Variable: Mode of transportation, all other modes, Overnight visits | Units: $CAD x 1,000, 2006-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-201.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Zeolite Catalysis and Synthesis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Census; Descriptive statistics; Economic statistics; Official statistics; Socioeconomic status; Comparability; Statistical analysis; Summary statistics; Product (mathematics)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006742792,0.001069143,0.002333642,0.0001707948,0.0001111777,0.00007448527,0.002298906,0.0009721779,0.004061696],"category_scores_gemma":[0.0001371309,0.001062883,8.961361e-7,0.0002984823,0.0003035398,0.0001840919,0.0001410098,0.0008202601,0.00000114145],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003132076,"about_ca_system_score_gemma":0.01662924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999943,"about_ca_topic_score_gemma":0.9999359,"domain_scores_codex":[0.9929114,0.0003457964,0.002334651,0.001334559,0.002140885,0.0009327107],"domain_scores_gemma":[0.9926373,0.0008420402,0.002589382,0.002899999,0.00020964,0.0008216468],"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":[0.0002421228,0.0001823455,0.0001726153,0.001330486,0.00114412,0.0002508419,0.00001173114,0.00001429084,0.000322728,0.00006477606,0.9962021,0.00006180382],"study_design_scores_gemma":[0.001037088,0.00003115864,0.0009190882,0.0001215424,0.0009764888,0.00002262062,0.0002031303,0.001029547,0.00002612375,2.084804e-7,0.9946116,0.001021358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001870573,0.002290648,0.00002440949,0.00000263413,0.0002991098,0.0003386804,0.9952708,0.00001699951,0.001738047],"genre_scores_gemma":[0.0007409951,0.001085648,0.00005831433,0.00009559128,0.0001062239,0.00001299032,0.9866229,0.0003254997,0.01095187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01631603,"threshold_uncertainty_score":0.9991822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682826210979977,"score_gpt":0.2277578795193896,"score_spread":0.2109296174095898,"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."}}