{"id":"W2245842094","doi":"","title":"ECONOMIC IMPACT OF FOR-HIRE AND PRIVATE TRUCKING IN MANITOBA: 1998 RESULTS AND METHODOLOGY","year":2001,"lang":"en","type":"article","venue":"","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trucking industry; Jurisdiction; Economic impact analysis; Business; Private sector; Economic analysis; Work (physics); Economic sector; Public sector; Economics; Public economics; Engineering; Economy; Economic growth; Agricultural economics; Political science","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":[0.001437347,0.0007109332,0.0004677374,0.004231198,0.0008843564,0.001259161,0.001776312,0.0005647237,0.007102923],"category_scores_gemma":[0.003678904,0.000415101,0.0008629626,0.007311653,0.000710032,0.0004222115,0.001423293,0.0008867076,0.001049778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006699353,"about_ca_system_score_gemma":0.003219657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6128516,"about_ca_topic_score_gemma":0.5623953,"domain_scores_codex":[0.9990001,0.0003634719,0.0000759502,0.0001074592,0.0001972939,0.0002555804],"domain_scores_gemma":[0.9969221,0.00126015,0.000600311,0.0001186318,0.0008174408,0.0002814344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003451472,0.000847951,0.972,0.0001240422,0.0002844361,0.0003461065,0.001062054,0.01255572,0.0003744587,0.000771141,0.002042502,0.009246428],"study_design_scores_gemma":[0.00005080877,0.000254439,0.984737,0.00003022707,0.0002081182,0.00008010802,0.005101101,0.00594157,0.0007731503,0.0001982594,0.002602674,0.00002260477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988262,0.0000937638,0.0002756297,0.00007695622,0.000004389638,0.0001859768,0.007593981,0.00001866222,0.003488728],"genre_scores_gemma":[0.9751564,0.0003127745,0.0009018733,0.00006485602,0.00001408846,0.0004405653,0.01572816,0.00002337881,0.00735796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3871484,"threshold_uncertainty_score":0.7788569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08001329049299091,"score_gpt":0.2914836503369702,"score_spread":0.2114703598439793,"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."}}