{"id":"W6957873275","doi":"10.6068/dp14ba86303e851","title":"Trend 1990 - 2008. Statistics Canada. CANSIM: Environment - Pollution and Waste | Country: Canada | Table: Direct plus indirect greenhouse gas emissions intensity, by industry | Variable: Truck transportation, Tonnes per thousand current dollars of production | Units: , 1990-2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-087.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Economic statistics; Summary statistics; Truck; Census; Production (economics); Pollution; Greenhouse gas","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":["metaepi_narrow"],"category_scores_codex":[0.0009213425,0.001324539,0.00181635,0.0002686057,0.0003244193,0.0001678347,0.001522264,0.000930935,0.002207563],"category_scores_gemma":[0.0001917043,0.001287447,4.51242e-7,0.0006689839,0.0005985508,0.000470204,0.000376354,0.001733969,0.00002432205],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009914837,"about_ca_system_score_gemma":0.01538896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993386,"about_ca_topic_score_gemma":0.9986941,"domain_scores_codex":[0.9921453,0.0007030763,0.0016315,0.002117288,0.00227158,0.001131269],"domain_scores_gemma":[0.9936568,0.0002845919,0.001672293,0.003188086,0.0001368913,0.001061349],"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":[0.0003958575,0.000227338,0.0001039054,0.0008079861,0.0005901151,0.0001833554,0.00001569112,0.0004590693,0.00006058065,0.00001978428,0.9969172,0.0002190651],"study_design_scores_gemma":[0.00134803,0.000116463,0.00001624888,0.0001856112,0.001598929,0.0002039642,0.0004191668,0.0008972331,0.000001152453,1.772036e-7,0.9938898,0.001323208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001431586,0.00656965,0.000006058511,0.000006872896,0.00121456,0.001307861,0.9903594,0.0001348437,0.0003863937],"genre_scores_gemma":[0.0001136649,0.003831373,0.0001324581,0.00006371751,0.0003482125,0.00003707745,0.9928154,0.0005637714,0.002094346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01439747,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199177310414451,"score_gpt":0.2351526384334052,"score_spread":0.2131608653292607,"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."}}