{"id":"W2036712514","doi":"10.1109/wsc.2012.6465189","title":"Simulation of coalescence with stratified sampling","year":2012,"lang":"en","type":"article","venue":"","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Coalescence (physics); Monte Carlo method; Numerical integration; Statistical physics; Variance (accounting); Monte Carlo integration; Population; Unit cube; Statistics; Mathematics; Computer science; Applied mathematics; Hybrid Monte Carlo; Markov chain Monte Carlo; Physics; Mathematical analysis; Geometry","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":[0.00181876,0.0004231143,0.0005871424,0.0005877379,0.0004481648,0.0007327537,0.001126602,0.0007859056,0.001409486],"category_scores_gemma":[0.006314675,0.0003297935,0.0007181985,0.0006648917,0.0007814443,0.0007637849,0.0007124494,0.0005939487,0.0002183478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007847426,"about_ca_system_score_gemma":0.0009643965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006466215,"about_ca_topic_score_gemma":0.0029985,"domain_scores_codex":[0.9993304,0.0002775997,0.00004098068,0.00007506418,0.0001851001,0.00009082229],"domain_scores_gemma":[0.9973442,0.001447403,0.0002701175,0.0003893363,0.0003736445,0.0001753277],"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":[0.00009763162,0.0000736141,0.00386707,0.00003692013,0.00004925062,0.00009572326,0.00009962838,0.951704,0.004402187,0.03232894,0.0002557959,0.006989239],"study_design_scores_gemma":[0.000008953651,0.00002224636,0.0002066523,0.000002095109,0.000003803487,0.000008112086,0.000005049419,0.9963571,0.0005906841,0.002623375,0.0001669775,0.000004738123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.250914,0.0001387421,0.7458332,0.0001136422,0.00004176465,0.0001691633,0.0001279458,0.0003121146,0.002349383],"genre_scores_gemma":[0.8055086,0.0001053955,0.192596,0.00006337177,0.0000119367,0.0003581443,0.0002679316,0.0000525141,0.001036091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006466215,"threshold_uncertainty_score":0.01285714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05940183880813535,"score_gpt":0.3007852746517296,"score_spread":0.2413834358435943,"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."}}