{"id":"W3135582548","doi":"10.1016/j.scitotenv.2021.146078","title":"Inexact inventory-theory-based optimization of oily waste management system in shoreline spill response","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Water resources management and optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; Concordia University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Shore; Constraint (computer-aided design); Environmental science; Waste management; Computer science; Operations research; Operations management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001200001,0.0001001499,0.0001138159,0.0001150391,0.00005966606,0.00001791663,0.0003904965,0.00001985805,0.00004038922],"category_scores_gemma":[0.00001807124,0.00006642378,0.00005089621,0.0004552686,0.0002367388,0.00007132007,0.0002246569,0.0000570623,0.000004138585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850716,"about_ca_system_score_gemma":0.00001072629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002656173,"about_ca_topic_score_gemma":2.852539e-7,"domain_scores_codex":[0.9988647,0.000121458,0.0002706458,0.0001518085,0.000425974,0.000165432],"domain_scores_gemma":[0.999385,0.00002315254,0.00007941465,0.0004765213,0.00001027755,0.00002565379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005985606,0.0000265944,0.00001577898,0.00007820688,0.00001094749,0.000001809745,0.0001973333,0.9939258,0.005003279,0.0004371579,0.000006180349,0.0002370561],"study_design_scores_gemma":[0.0003209647,0.00002436605,0.0007333103,0.0001111153,0.00002798762,9.334584e-7,0.0004645371,0.9624162,0.03574889,0.0000357076,0.00003812285,0.00007785294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715524,0.0001123474,0.02521332,0.0002209304,0.0001900161,0.0004438993,0.000004255485,0.0000304935,0.002232353],"genre_scores_gemma":[0.9975111,0.00002102882,0.001884572,0.000006530552,0.000009009009,0.00001343941,0.000002783795,0.00001179161,0.000539773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03150959,"threshold_uncertainty_score":0.2708683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006225607351175522,"score_gpt":0.1713101278578646,"score_spread":0.1650845205066891,"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."}}