{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001202951,0.0003632989,0.0003370172,0.002821228,0.0004429902,0.001715746,0.000456607,0.0003997798,0.003681767],"category_scores_gemma":[0.003500724,0.0002023427,0.0007148699,0.006014795,0.0007115175,0.001097948,0.0008163977,0.0003951851,0.0003939951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402422,"about_ca_system_score_gemma":0.001230026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03644475,"about_ca_topic_score_gemma":0.08021242,"domain_scores_codex":[0.999249,0.0001273546,0.00005129848,0.0001289117,0.0003369639,0.0001062826],"domain_scores_gemma":[0.9967494,0.001364516,0.0008623682,0.0002122103,0.0006747711,0.0001367028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001331914,0.00003048776,0.954219,0.0002731012,0.0001435258,0.0003901369,0.003423094,0.003515615,0.005070668,0.002811105,0.0004091148,0.02958095],"study_design_scores_gemma":[0.000001918891,0.00007133904,0.9822572,0.00005864955,0.00006636479,0.0002527727,0.004660086,0.003542466,0.001392726,0.0008944008,0.006783894,0.00001819479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901574,0.0005925196,0.00167792,0.000131453,0.000004358848,0.00002707226,0.001602703,0.00002124977,0.005785302],"genre_scores_gemma":[0.9950892,0.000318753,0.001743765,0.00001325456,0.000003567213,0.00001744241,0.000516417,0.00001255343,0.002285036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03644475,"threshold_uncertainty_score":0.07246524,"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."}}