{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001445652,0.0003197574,0.0004703242,0.0001073723,0.0001077328,0.0003098234,0.001246925,0.00007703466,0.1094265],"category_scores_gemma":[0.00006715726,0.0002515659,0.0001249684,0.0001315253,0.0004165233,0.002205133,0.0006260623,0.0001452052,0.01796266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004279052,"about_ca_system_score_gemma":0.00006771746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106477,"about_ca_topic_score_gemma":0.000003590284,"domain_scores_codex":[0.9977913,0.0001959433,0.0005489863,0.0005220709,0.0003720287,0.0005696081],"domain_scores_gemma":[0.9986951,0.0001057562,0.0002703673,0.0006077876,0.0000467192,0.0002742804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002253882,0.0001546325,0.0313051,0.00003607452,0.00005939102,0.00004504503,0.000387667,0.00002526349,0.7893119,0.001757434,0.1613425,0.01534959],"study_design_scores_gemma":[0.001589585,0.0006840294,0.1496564,0.0002034646,0.00004022914,0.00006173312,0.000590304,0.0001109537,0.7736565,0.001814016,0.07016547,0.001427276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988519,0.0002343836,0.0001684428,0.002500424,0.001241341,0.0003553109,0.00004177392,0.0004288766,0.006510503],"genre_scores_gemma":[0.9889078,0.00004141965,0.003018348,0.002907844,0.0003793102,0.0001059885,0.0000162378,0.00008248408,0.004540622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1183513,"threshold_uncertainty_score":0.9999937,"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."}}