{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.000851092,0.001438615,0.001523302,0.0001376051,0.0004690966,0.0004397581,0.001353582,0.001464824,0.0012856],"category_scores_gemma":[0.0001326264,0.001538559,3.648538e-7,0.0005136767,0.0006804153,0.0006208341,0.00007196002,0.001978815,0.00001239543],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005832685,"about_ca_system_score_gemma":0.01769669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997733,"about_ca_topic_score_gemma":0.9997935,"domain_scores_codex":[0.99254,0.0006996442,0.00162058,0.002085607,0.001808411,0.001245776],"domain_scores_gemma":[0.9944252,0.0008966357,0.00128513,0.001932001,0.0001055856,0.00135547],"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":[0.0001803763,0.0000621762,0.00003081922,0.0006073244,0.0006526287,0.0006157556,0.00003044968,0.000435313,0.00006004153,0.00009044444,0.9971489,0.00008576465],"study_design_scores_gemma":[0.0020925,0.00009820878,0.00000796418,0.000117507,0.001251552,0.00009449333,0.00193596,0.002631785,5.120759e-7,2.338879e-7,0.9901217,0.001647628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000521523,0.01117119,0.00009332204,0.000007836393,0.0006026755,0.001185849,0.9866412,0.0001022637,0.0001904926],"genre_scores_gemma":[0.0001432423,0.001434069,0.0002462235,0.0004248183,0.0002074703,0.00005791274,0.9940569,0.0006505236,0.002778804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01711342,"threshold_uncertainty_score":0.9998364,"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."}}