{"id":"W6976687861","doi":"10.6068/dp14ba87f707f11","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, Estimated number of carriers in population | 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; Census; Official statistics; Summary statistics; Economic statistics; Descriptive statistics; Taxis; Population; 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":[0.00183123,0.002408438,0.00252011,0.007245347,0.003119218,0.004679004,0.00479646,0.001463953,0.09172436],"category_scores_gemma":[0.01563073,0.001639443,0.001949638,0.03520038,0.0005943278,0.002803581,0.002122217,0.003173772,0.05935475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04703993,"about_ca_system_score_gemma":0.1113677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945552,"about_ca_topic_score_gemma":0.9925641,"domain_scores_codex":[0.9964144,0.000234532,0.0003433941,0.0004783748,0.001653278,0.0008759248],"domain_scores_gemma":[0.9735262,0.0008643338,0.0007470881,0.0007807808,0.02282024,0.001261383],"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":[0.00002033718,0.000005848048,0.0008914238,0.0001900192,0.00001516764,0.000006059941,0.00001795837,0.0001163737,0.000007649372,0.0003937195,0.9967673,0.001568254],"study_design_scores_gemma":[0.00012331,0.00001177807,0.01860679,0.0007445046,0.00005716619,0.00002512231,0.0004348726,0.0005778288,0.0001409638,0.0006501656,0.9785513,0.0000760687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005771166,0.00005516204,0.00003104227,0.0001361704,0.00003273147,0.00001383006,0.9984872,0.00006639316,0.001119737],"genre_scores_gemma":[0.0009285859,0.0003124032,0.000383229,0.0001632844,0.0000183009,0.0001085193,0.9934239,0.000120855,0.004540791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09172436,"threshold_uncertainty_score":0.3413001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819358086175799,"score_gpt":0.2518871686882187,"score_spread":0.2336935878264607,"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."}}