{"id":"W4379745714","doi":"10.12660/rbt.v2n2.2022.88582","title":"CORREDORES MULTIMODAIS PARA EXPORTAÇÃO DE GRÃOS NO MATO GROSSO: UMA ANÁLISE DE CONCORRÊNCIA","year":2022,"lang":"pt","type":"article","venue":"Revista Brasileira de Transportes","topic":"Logistics and Infrastructure Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Agricultural science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001024511,0.0007245227,0.001094331,0.00008006852,0.001208879,0.0004252461,0.001195842,0.0003161871,0.01664859],"category_scores_gemma":[0.0001829323,0.0004151022,0.0009026985,0.000976849,0.0003544957,0.0002191902,0.0001206266,0.0008207989,0.00008315783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000380612,"about_ca_system_score_gemma":0.0002589775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003129565,"about_ca_topic_score_gemma":0.0005181554,"domain_scores_codex":[0.9953182,0.0004303802,0.001122069,0.001005342,0.0007113687,0.001412683],"domain_scores_gemma":[0.9977541,0.0003986357,0.0005907411,0.0003798075,0.0002042805,0.0006724311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002257753,0.0003871896,0.9584947,0.0001963933,0.0002527373,0.0006367331,0.001333215,0.0009239978,0.01901535,0.0009716802,0.01158059,0.005981601],"study_design_scores_gemma":[0.0005467072,0.0006584825,0.9619116,0.0001057449,0.0006842436,0.0001264011,0.002172496,0.009657951,0.0003144323,0.0001847901,0.02262787,0.001009263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916106,0.003028789,0.001003335,0.0003081423,0.0002843273,0.0005498828,0.002465771,0.0001660427,0.0005831243],"genre_scores_gemma":[0.9938377,0.0006089061,0.0005741623,0.001535229,0.0005813184,0.0001211989,0.0009407736,0.00002073693,0.001779987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01870092,"threshold_uncertainty_score":0.9998301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695009214636616,"score_gpt":0.256932683531063,"score_spread":0.2299825913846968,"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."}}