{"id":"W6976581206","doi":"10.6068/dp14ba821ed1558","title":"Trend 1998 - 2008. Statistics Canada. CANSIM: Transportation - Transportation by Road | Country: Canada | Table: Couriers and local messengers industry, revenue and expenditures by size | Variable: Small carriers, under $1 million, Operating ratio | Units: $CAD, 1998-2008. 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":"Revenue; Summary statistics; Descriptive statistics; Official statistics; Economic statistics; Census; Taxis; Statistical analysis; Personal income","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":[0.001844512,0.00233533,0.002435534,0.007701737,0.003118179,0.004606449,0.0047973,0.001425129,0.09041137],"category_scores_gemma":[0.01553301,0.001627533,0.001881488,0.03684082,0.0005898623,0.002742427,0.002042628,0.003091183,0.05596168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05067441,"about_ca_system_score_gemma":0.1218359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951321,"about_ca_topic_score_gemma":0.9933908,"domain_scores_codex":[0.9961739,0.0002324817,0.0003616471,0.0004918668,0.001829206,0.0009109813],"domain_scores_gemma":[0.9710976,0.0008858545,0.0008128902,0.000789932,0.02508393,0.001329743],"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":[0.00002077819,0.000006174722,0.0009828721,0.0001920068,0.00001558126,0.000006165825,0.00001880403,0.0001154914,0.000008328068,0.0004082975,0.9966184,0.001607122],"study_design_scores_gemma":[0.0001219731,0.00001225004,0.02091784,0.0007170805,0.00005853235,0.00002549353,0.0004393463,0.0005596821,0.0001528528,0.0006158178,0.9763039,0.0000753666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000064728,0.00005528227,0.00003104957,0.0001395071,0.00003277678,0.00001476668,0.9983976,0.00006783093,0.001196387],"genre_scores_gemma":[0.00103799,0.0003178559,0.0004002807,0.0001679506,0.00001940358,0.000113878,0.9927222,0.0001260041,0.005094493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09041137,"threshold_uncertainty_score":0.3676703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723468107929574,"score_gpt":0.2349426489478351,"score_spread":0.2177079678685393,"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."}}