{"id":"W7055656486","doi":"","title":"Demanda interna e comércio internacional do trigo","year":2013,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Per capita; Econometric model; Panel data; Per capita income; Work (physics); Measures of national income and output; Income elasticity of demand; Exchange rate; Point (geometry)","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":[0.0004335025,0.0002891248,0.0003787664,0.001869443,0.0002981176,0.00125971,0.0004279391,0.0003240417,0.009046381],"category_scores_gemma":[0.001705751,0.0001383389,0.0005643664,0.00335103,0.0001660499,0.0007250165,0.0003633976,0.0003667846,0.001914311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580289,"about_ca_system_score_gemma":0.0007596985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980842,"about_ca_topic_score_gemma":0.0262467,"domain_scores_codex":[0.9996536,0.00006371058,0.00002428604,0.00008446328,0.0001020001,0.00007189241],"domain_scores_gemma":[0.9989791,0.0004372635,0.0002798181,0.0000864808,0.0001518651,0.00006546928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003254697,0.0001844115,0.8066263,0.0005409442,0.0002010402,0.0007488999,0.002020257,0.02980512,0.003220782,0.03369738,0.01118372,0.1114458],"study_design_scores_gemma":[0.00002498676,0.0002484216,0.794161,0.000103779,0.0001889121,0.0009791405,0.003238014,0.0602151,0.001823183,0.01027373,0.1286444,0.00009942027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8453763,0.001683828,0.01468176,0.001188043,0.0001155327,0.00008141743,0.04604456,0.0004220019,0.09040655],"genre_scores_gemma":[0.9774708,0.0007950923,0.002708985,0.00005023398,0.00005672433,0.0000553944,0.01157387,0.00004683536,0.007242001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01980842,"threshold_uncertainty_score":0.03938621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005593804228285118,"score_gpt":0.1849064280378962,"score_spread":0.1793126238096111,"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."}}