{"id":"W6957913204","doi":"10.6068/dp14ba7ccfa6f81","title":"Trend 2005 - 2011. Statistics Canada. CANSIM: Transportation - Transportation by Road | Country: Canada | Table: Canadian passenger bus and urban transit industries, fuel consumption, by North American Industry Classification System (NAICS) | Variable: Diesel, Charter and sightseeing bus industry | Units: Litres x 1,000, 2005-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-197.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Charter; Economic statistics; Census; Descriptive statistics; Taxis; Official statistics; Tourism; 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":[0.001663871,0.002416411,0.002525259,0.007510901,0.003050718,0.004359533,0.004760068,0.001428619,0.0765489],"category_scores_gemma":[0.01455808,0.00154598,0.002001977,0.03721829,0.000573437,0.002515043,0.001996864,0.002939234,0.05342872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04241072,"about_ca_system_score_gemma":0.09582361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933546,"about_ca_topic_score_gemma":0.9914637,"domain_scores_codex":[0.9967573,0.0002179474,0.0003340621,0.0004715796,0.001453551,0.0007655288],"domain_scores_gemma":[0.9767339,0.0008090718,0.0006773387,0.0007533572,0.01995169,0.001074647],"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":[0.00001894518,0.000005515344,0.0008930172,0.000191591,0.00001702519,0.000006091396,0.00001706975,0.000115296,0.000007864718,0.000324921,0.9970028,0.001399715],"study_design_scores_gemma":[0.0001209161,0.00001119419,0.02033185,0.0007403148,0.00006852527,0.00002629907,0.000446744,0.0005576975,0.0001629374,0.0006212307,0.9768356,0.00007684948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000524476,0.0000456214,0.00002532027,0.0000971363,0.00002541634,0.000009877579,0.9990008,0.00005346332,0.000689752],"genre_scores_gemma":[0.0006399684,0.0002123465,0.0002823344,0.0001067442,0.00001410497,0.00007543195,0.9957874,0.00007983173,0.00280189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0765489,"threshold_uncertainty_score":0.3077127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406753483682667,"score_gpt":0.224563621638166,"score_spread":0.2004960868013393,"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."}}