{"id":"W3123010675","doi":"","title":"Deregulation and Regional Specialization: Evidence from Canadian Agriculture","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deregulation; Desk; Agriculture; Production (economics); Cropping; Agricultural economics; Business; Economics; Agricultural science; Geography; Market economy; Environmental science; Engineering","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":[0.001050228,0.0002816522,0.000452134,0.001664027,0.001863751,0.001783741,0.0009707355,0.0004564142,0.004231772],"category_scores_gemma":[0.004897479,0.0002065851,0.0004953985,0.006617534,0.001948641,0.0006287387,0.001215727,0.0005263941,0.0002239252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02200082,"about_ca_system_score_gemma":0.01517794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9769295,"about_ca_topic_score_gemma":0.9868918,"domain_scores_codex":[0.9984171,0.0001377483,0.00005601274,0.0003604972,0.0004505932,0.0005779575],"domain_scores_gemma":[0.9938368,0.001095701,0.001904901,0.0004868491,0.001858752,0.0008169473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002687682,0.0000610133,0.9555995,0.000250456,0.0003149632,0.0003867853,0.004180232,0.001640787,0.0009416167,0.003517576,0.005736574,0.02710161],"study_design_scores_gemma":[0.00001124742,0.0000153909,0.9887972,0.0000507087,0.00007321723,0.00004391502,0.002720344,0.0003353009,0.0001311642,0.0002661873,0.007540659,0.0000146948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732838,0.004560462,0.0003190276,0.001500069,0.00001349943,0.00002749129,0.00311636,0.00001625236,0.01716314],"genre_scores_gemma":[0.9963353,0.001507446,0.0001017481,0.0001580917,0.000005946878,0.000004964881,0.001040927,0.000004938761,0.0008407211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02307051,"threshold_uncertainty_score":0.1596279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07041540185830894,"score_gpt":0.299423944596177,"score_spread":0.2290085427378681,"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."}}