{"id":"W2759925838","doi":"10.11606/d.3.2017.tde-01092017-144127","title":"Análise operacional e de custo logístico do processo de transbordo de navio para navio - transshipment - no Brasil. Uma aplicação ao minério de ferro no porto de Santos","year":2017,"lang":"pt","type":"dissertation","venue":"","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Transshipment (information security); Port (circuit theory); Dredging; Business; Bulk cargo; Engineering; Operations management; Operations research; Marine engineering; Mechanical engineering","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00138369,0.001738114,0.001532847,0.0003332288,0.0008701854,0.0008291414,0.001545544,0.002091707,0.008415691],"category_scores_gemma":[0.0004846195,0.001862788,0.0006742708,0.0002182345,0.0002506523,0.0004034016,0.00004364999,0.002121247,0.0002565678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568719,"about_ca_system_score_gemma":0.003191176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004920306,"about_ca_topic_score_gemma":0.003051761,"domain_scores_codex":[0.9928559,0.0001913275,0.001659526,0.001428708,0.0009434837,0.002921023],"domain_scores_gemma":[0.9959738,0.0002690944,0.0004043279,0.001163947,0.0005903399,0.001598536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00987316,0.01182691,0.2322418,0.06445414,0.006376143,0.01688945,0.1279488,0.1766154,0.09228567,0.01307652,0.03448628,0.2139257],"study_design_scores_gemma":[0.01315095,0.001990207,0.268427,0.01206408,0.008845111,0.004021988,0.008726869,0.5544732,0.02616167,0.001931387,0.08305813,0.01714949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6651958,0.00446979,0.236932,0.0005272139,0.002064752,0.004561386,0.001581141,0.001171636,0.08349632],"genre_scores_gemma":[0.9500164,0.001612751,0.01727916,0.0004460627,0.0007385983,0.0007749467,0.00285829,0.0004400748,0.02583367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3778577,"threshold_uncertainty_score":0.9995365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385681389728113,"score_gpt":0.3005585646904628,"score_spread":0.2767017507931817,"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."}}