{"id":"W2337784462","doi":"","title":"Productivity Trends in the Canadian Transport Sector: An Overview","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Agricultural economics; Truck; Multifactor productivity; Business; Economics; Economic growth; Engineering; Total factor productivity","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":[0.002020112,0.001600613,0.0006217441,0.02814975,0.003575183,0.005227766,0.001747972,0.0006498593,0.006553928],"category_scores_gemma":[0.005173358,0.0004786334,0.001469482,0.062973,0.0008710768,0.001857292,0.001421086,0.001263708,0.001205545],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09922135,"about_ca_system_score_gemma":0.1077818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969034,"about_ca_topic_score_gemma":0.9964529,"domain_scores_codex":[0.9960392,0.00008767885,0.0002014596,0.0002959774,0.002429862,0.0009457972],"domain_scores_gemma":[0.9865462,0.0003519005,0.0006686802,0.0001408786,0.01169054,0.0006018099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003320214,0.0001259275,0.3471935,0.004075815,0.0004348038,0.0005774757,0.003819755,0.005919626,0.001475498,0.01975831,0.1527208,0.4635666],"study_design_scores_gemma":[0.000008428321,0.0000610933,0.7305137,0.0009973678,0.0001656357,0.0002243211,0.002905135,0.001783595,0.0008660353,0.0005195712,0.2618034,0.000151697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2786692,0.2053567,0.004441006,0.02375276,0.001191557,0.0004279029,0.2524545,0.001286127,0.2324203],"genre_scores_gemma":[0.609415,0.2564918,0.00626448,0.001563943,0.0004569309,0.0001639291,0.08809741,0.000374173,0.03717237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9007787,"threshold_uncertainty_score":0.7199047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08207726159225799,"score_gpt":0.3069836804937316,"score_spread":0.2249064189014736,"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."}}