{"id":"W2973683919","doi":"10.1111/cjag.12204","title":"Agriculture trade restrictiveness in Canada: How important are the cross effects?","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Restrictiveness; Economics; Commodity; Econometrics; Welfare; Index (typography); Agriculture; Linkage (software); Microeconomics; Agricultural economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001953701,0.0002379586,0.0004990663,0.002666914,0.001889985,0.002482832,0.0009815183,0.0004184824,0.002566549],"category_scores_gemma":[0.007528332,0.0001585922,0.000524963,0.008445388,0.001107317,0.0008289898,0.001083402,0.0009449769,0.0001368569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0629047,"about_ca_system_score_gemma":0.05511137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969198,"about_ca_topic_score_gemma":0.997812,"domain_scores_codex":[0.9979879,0.0001382717,0.00008662378,0.0002776461,0.0009512386,0.0005583048],"domain_scores_gemma":[0.9915735,0.0009389478,0.001684543,0.0003346948,0.004679646,0.0007887254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001707177,0.00003764291,0.9350178,0.000178156,0.0003440389,0.0002697687,0.001857682,0.003844969,0.0005075283,0.008136701,0.00945871,0.04017615],"study_design_scores_gemma":[0.000005696902,0.00001416022,0.978437,0.0001354402,0.0001020219,0.00005055835,0.002015172,0.002904892,0.0004137646,0.0006380668,0.01525158,0.00003161215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235964,0.01074373,0.001814419,0.009479636,0.00008087442,0.00005241176,0.015409,0.00005987347,0.03876371],"genre_scores_gemma":[0.9926168,0.001436559,0.0005585096,0.0002824233,0.0000135135,0.000007277082,0.002363973,0.00001465543,0.00270634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0629047,"threshold_uncertainty_score":0.4564077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113211964142129,"score_gpt":0.1453489336246605,"score_spread":0.1242168139832392,"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."}}