{"id":"W2068313547","doi":"10.1139/l08-147","title":"Size distribution as a measure of dispersant performanceA paper submitted to the Journal of Environmental and Engineering Science.","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gravimetric analysis; Particle-size distribution; Dispersion (optics); Dispersant; Environmental science; Particle size; Measure (data warehouse); Petroleum engineering; Biological system; Statistics; Materials science; Soil science; Mathematics; Chemistry; Computer science; Geology; Engineering; Data mining; Chemical engineering; Optics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006451372,0.00008942195,0.0001244288,0.00009044944,0.00009197515,0.00002711952,0.0001818443,0.00003062533,0.0002736924],"category_scores_gemma":[0.0002358416,0.00006915454,0.00004809694,0.0002559758,0.00007909047,0.0003853748,0.000011439,0.0001815965,0.000003489217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003530929,"about_ca_system_score_gemma":0.00008652201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001288485,"about_ca_topic_score_gemma":0.001520745,"domain_scores_codex":[0.999105,0.000009714086,0.0002849503,0.00006128822,0.0003325531,0.0002064808],"domain_scores_gemma":[0.9993358,0.00002322031,0.0001284312,0.00007700752,0.00002461178,0.0004109518],"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":[0.00003188525,0.00002003353,0.007997666,0.00001261378,0.00002617937,0.00002435551,0.002312985,0.1297105,0.8440608,0.00005051346,0.000405778,0.01534666],"study_design_scores_gemma":[0.0004280476,0.0004585254,0.9672176,0.0001343957,0.00004251166,0.0007000075,0.0003334423,0.003960875,0.0185673,0.0000136482,0.007971251,0.0001723468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997564,0.0002412147,0.00144528,0.0003271205,0.0002205411,0.00005439184,0.000008015102,0.000002252179,0.0001371755],"genre_scores_gemma":[0.9997134,0.00004212883,0.0001076276,0.00006039879,0.00006154915,2.577262e-7,2.886281e-7,0.000005647155,0.000008693743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.95922,"threshold_uncertainty_score":0.2996739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00221653204111744,"score_gpt":0.1504723308211174,"score_spread":0.14825579878,"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."}}