{"id":"W2523469087","doi":"","title":"A competitividade das exportações agrícolas brasileiras para o Canadá","year":2007,"lang":"pt","type":"article","venue":"Revista de Política Agrícola","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Agricultural science; Business; Humanities; Art; Environmental 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":[0.0004848371,0.0003094406,0.0001990434,0.002433452,0.001375481,0.002232748,0.0003143846,0.0001708226,0.004777441],"category_scores_gemma":[0.001108694,0.0001522789,0.0003386601,0.006271822,0.0005209848,0.0004339352,0.0005082297,0.0002903097,0.000311374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01358368,"about_ca_system_score_gemma":0.01761211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9719876,"about_ca_topic_score_gemma":0.9898746,"domain_scores_codex":[0.9995415,0.00002621677,0.00001512142,0.00006299533,0.0002291366,0.0001250761],"domain_scores_gemma":[0.9987968,0.0000998429,0.0001055733,0.0000412895,0.0007828501,0.0001735093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002282057,0.00005576773,0.8392034,0.0003523393,0.0001519753,0.0006813217,0.006176447,0.001705001,0.005032769,0.008133364,0.007253289,0.1310261],"study_design_scores_gemma":[0.000006621446,0.00003301476,0.9643916,0.0001169402,0.00006854367,0.0001373198,0.005807699,0.0007901838,0.0008138376,0.0002486134,0.02756252,0.00002317207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245659,0.002009627,0.0007225526,0.0006999781,0.00001335136,0.00005650636,0.005221147,0.00006863756,0.06664225],"genre_scores_gemma":[0.9756013,0.002350802,0.00132054,0.00007018204,0.00000339346,0.00001689343,0.001909211,0.00002269897,0.01870498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02801239,"threshold_uncertainty_score":0.098557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03468303535675345,"score_gpt":0.2963580879672283,"score_spread":0.2616750526104749,"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."}}