{"id":"W6920238331","doi":"10.6068/dp14ba7f7541c46","title":"Trend 1986 - 2009. Statistics Canada. CANSIM: Transportation - Transportation by Rail | Country: Canada | Table: Railway transport survey, diesel fuel consumption | Variable: Total diesel, Total companies | Units: , 1986-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-196.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Descriptive statistics; Census; Consumption (sociology); Statistical analysis; Summary statistics; Public transport; Fuel efficiency","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":[0.002075355,0.002217785,0.00251844,0.008908554,0.003335284,0.004475113,0.004742813,0.001399689,0.08638055],"category_scores_gemma":[0.01654563,0.001755116,0.0018414,0.04274493,0.0006360078,0.002580897,0.002110718,0.002998197,0.05682594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05432704,"about_ca_system_score_gemma":0.1379482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949595,"about_ca_topic_score_gemma":0.9928643,"domain_scores_codex":[0.9955956,0.0002816371,0.000452887,0.000552584,0.002097978,0.001019254],"domain_scores_gemma":[0.9678005,0.001024143,0.000952632,0.0009160979,0.02794513,0.001361534],"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":[0.00002355114,0.000006909498,0.001043653,0.0002477537,0.00001890455,0.000007374641,0.00002429732,0.0001253569,0.00001052851,0.0003952184,0.9964174,0.001679058],"study_design_scores_gemma":[0.0001187982,0.00001319914,0.02840126,0.000786611,0.00006597305,0.00002694872,0.0005331511,0.0004266885,0.0001690767,0.0005445072,0.9688363,0.00007741115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005693288,0.00004546649,0.00002654519,0.0001091942,0.00002885661,0.0000155687,0.9987136,0.00005168796,0.000952151],"genre_scores_gemma":[0.000969211,0.0003033763,0.0004148889,0.000139855,0.00001906837,0.0001320161,0.9926094,0.000109477,0.005302615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08638055,"threshold_uncertainty_score":0.3941721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970585288037617,"score_gpt":0.2469392262643412,"score_spread":0.217233373383965,"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."}}