{"id":"W6888805493","doi":"10.22004/ag.econ.319308","title":"Canadian Coastal Shipping and CETA: Some Lessons From Four Market Deregulation Cases","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deregulation; Government (linguistics); Legislation; Boom","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":[0.002459456,0.0006343415,0.0008686508,0.002412066,0.008722996,0.006896931,0.002805844,0.005105168,0.01184968],"category_scores_gemma":[0.007960737,0.0003986468,0.001226697,0.004582806,0.006228399,0.003377704,0.002445337,0.004656414,0.0004127267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04723158,"about_ca_system_score_gemma":0.04122053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802044,"about_ca_topic_score_gemma":0.9888334,"domain_scores_codex":[0.9974195,0.0002681835,0.00005198582,0.0001726209,0.0007426551,0.001345122],"domain_scores_gemma":[0.995456,0.002105916,0.0002402399,0.0003854964,0.001436107,0.0003762946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001393506,0.0001339391,0.01812968,0.00009966842,0.00008664134,0.002763576,0.004555461,0.007606855,0.0003388382,0.903988,0.03681127,0.02534664],"study_design_scores_gemma":[0.0004664598,0.0001400483,0.09451531,0.0006094938,0.000773437,0.001394501,0.0690512,0.03237011,0.002923514,0.3133646,0.4839554,0.0004360186],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3197731,0.002527276,0.001835827,0.02604125,0.00009093885,0.0001241964,0.0009109657,0.00005747159,0.648639],"genre_scores_gemma":[0.955847,0.002196727,0.0008402485,0.002021244,0.00004759591,0.00004043066,0.0002437811,0.00002799733,0.03873482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04723158,"threshold_uncertainty_score":0.3426907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06102977389017526,"score_gpt":0.2841334476448011,"score_spread":0.2231036737546258,"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."}}