{"id":"W2902071571","doi":"10.2478/ntpe-2018-0057","title":"Assessment of Selected On-Board Ballast Water Treatment Systems in Terms of Technical and Operational Parameters","year":2018,"lang":"en","type":"article","venue":"New Trends in Production Engineering","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Independent Electricity System Operator; Uniwersytet Szczeciński","keywords":"Ballast; Convention; Process (computing); Selection (genetic algorithm); Set (abstract data type); Relation (database); Computer science; Risk analysis (engineering); Environmental science; Operations research; Environmental resource management; Engineering; Business; Law; Political science; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001824554,0.0005269425,0.0005836519,0.001512087,0.000509323,0.001792486,0.0005066569,0.0005175415,0.002676155],"category_scores_gemma":[0.001777406,0.0001652366,0.0006889849,0.00146829,0.0003429266,0.0008691272,0.0005932828,0.0003900238,0.0006120136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197028,"about_ca_system_score_gemma":0.0006301663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004712761,"about_ca_topic_score_gemma":0.006527223,"domain_scores_codex":[0.9969701,0.0005667984,0.000157824,0.0002675858,0.001840727,0.0001969692],"domain_scores_gemma":[0.9984171,0.0003074892,0.0003066777,0.00009185154,0.0008229701,0.00005374039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003305372,0.0007277277,0.0747055,0.001971512,0.0003268091,0.000467551,0.0004586153,0.0442216,0.6985408,0.00115122,0.002283194,0.1718401],"study_design_scores_gemma":[0.00008219935,0.008694982,0.2460923,0.0002390296,0.0005017173,0.0003487875,0.001819152,0.02545689,0.6847557,0.001156311,0.03074324,0.0001097506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766509,0.001284748,0.009896731,0.00007557343,0.0000334024,0.0003869007,0.001448958,0.0001017072,0.01012099],"genre_scores_gemma":[0.9898774,0.0008016854,0.003504214,0.00002764484,0.000005942373,0.00009904513,0.001191754,0.00004294697,0.004449565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004712761,"threshold_uncertainty_score":0.0142954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141663311241328,"score_gpt":0.2396576513867016,"score_spread":0.2282410182742883,"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."}}