{"id":"W415237523","doi":"","title":"Is Protection Good or Bad for Growth? Lessons from Canada's Cotton Textile Mills","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Textile; Pulp and paper industry; Business; Agricultural economics; Economics; Engineering; Geography","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":[0.002719869,0.0004714138,0.0007268771,0.001325189,0.01288718,0.009449175,0.001544036,0.004009107,0.008562041],"category_scores_gemma":[0.00669888,0.000242961,0.0005086755,0.003179603,0.01098534,0.003606681,0.001839261,0.006151035,0.0003564604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1251449,"about_ca_system_score_gemma":0.1359547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955401,"about_ca_topic_score_gemma":0.9975154,"domain_scores_codex":[0.9972753,0.0002420382,0.00004404767,0.0002030675,0.0007480605,0.001487438],"domain_scores_gemma":[0.9928027,0.001968444,0.0002688931,0.0002057509,0.003397198,0.00135708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003006232,0.0001456933,0.02853211,0.0003751224,0.00008714444,0.001239489,0.01714284,0.002869482,0.0004795112,0.626188,0.2344641,0.0881758],"study_design_scores_gemma":[0.0001676124,0.00007890168,0.08306199,0.001671348,0.0002035048,0.0002781042,0.08330294,0.001646477,0.001282198,0.199314,0.6287659,0.0002268669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1718525,0.03777019,0.0006281784,0.462169,0.0006463591,0.00005099381,0.001219069,0.00004307797,0.3256206],"genre_scores_gemma":[0.882358,0.02220512,0.0004473796,0.02802411,0.000267386,0.00001812062,0.0002257389,0.00004117575,0.06641301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1251449,"threshold_uncertainty_score":0.9079942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05768336738254402,"score_gpt":0.3223697198875775,"score_spread":0.2646863525050334,"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."}}