{"id":"W6957557671","doi":"10.6068/dp14ba8cb9d2d84","title":"Trend 1986 - 2009. Statistics Canada. CANSIM: Transportation - Transportation by Rail | Country: Canada | Table: Railway transport survey, length of track operated at end of year | Variable: Regional railways, Line operated under lease, contract, trackage rights or jointly owned, first main track | Units: Kilometres, 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":"Census; Economic statistics; Track (disk drive); Official statistics; Summary statistics; Statistical analysis; Descriptive statistics; Transportation planning","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":[0.001917268,0.00221721,0.002508654,0.008440749,0.003426642,0.004372733,0.004769162,0.001361008,0.07843902],"category_scores_gemma":[0.01611397,0.001678953,0.001754078,0.0421577,0.0006147189,0.002575717,0.002140922,0.002956907,0.05185106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05259379,"about_ca_system_score_gemma":0.1267411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995449,"about_ca_topic_score_gemma":0.9938213,"domain_scores_codex":[0.9958009,0.0002524442,0.000428201,0.0005596731,0.001928306,0.001030469],"domain_scores_gemma":[0.9688199,0.0009203567,0.000942883,0.0008448072,0.02712403,0.001348],"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":[0.00002630215,0.000008178029,0.001514977,0.0002483039,0.00002017645,0.000007881838,0.0000292047,0.0001363648,0.00001173672,0.0004078694,0.9958017,0.00178733],"study_design_scores_gemma":[0.0001342798,0.00001436128,0.0349336,0.0008292651,0.0000678783,0.00002812677,0.0006691355,0.0005065166,0.0001996193,0.0005575698,0.9619746,0.00008504174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006909983,0.00004229027,0.00002593702,0.00009070217,0.00002495814,0.00001439443,0.9988285,0.00004783307,0.0008562187],"genre_scores_gemma":[0.001000007,0.0002602341,0.0003641251,0.0001078888,0.0000158261,0.0001131478,0.9936821,0.00009259661,0.004363962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07843902,"threshold_uncertainty_score":0.3815964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184365276317395,"score_gpt":0.2444829389900523,"score_spread":0.2126392862268784,"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."}}