{"id":"W3176362319","doi":"","title":"Improving Monte Carlo simulations for an accurate modeling of nanoparticles coagulation","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Monte Carlo method; Coagulation; Computer science; Statistical physics; Nanoparticle; Materials science; Nanotechnology; Physics; Mathematics; Medicine; Statistics","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":[0.001464097,0.0009792901,0.001685497,0.0009113082,0.001153261,0.001400394,0.001720057,0.002638862,0.002827986],"category_scores_gemma":[0.007660182,0.0009811658,0.00110857,0.001138278,0.0007949311,0.001174699,0.001123784,0.002138624,0.0006906616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543672,"about_ca_system_score_gemma":0.002259006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022408,"about_ca_topic_score_gemma":0.01218845,"domain_scores_codex":[0.9993263,0.0002562829,0.00004123664,0.00005805938,0.0002308836,0.00008719246],"domain_scores_gemma":[0.9954311,0.003079666,0.0002275671,0.0004661557,0.0006352735,0.0001601348],"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":[0.00003222096,0.00003858287,0.000350646,0.00002596014,0.00001525153,0.00002461512,0.00002113133,0.9932911,0.0008735706,0.003165582,0.0002310378,0.00193033],"study_design_scores_gemma":[0.000005193363,0.000003495068,0.00003028148,0.000001670534,0.000002098294,0.00000224921,0.000001767954,0.9990114,0.0002490722,0.0005757249,0.0001150392,0.000001926697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.311996,0.001539401,0.658657,0.001354145,0.0004251958,0.0003121956,0.000754661,0.002807207,0.02215422],"genre_scores_gemma":[0.842154,0.0005528292,0.1513874,0.0003275781,0.0001549367,0.0004978284,0.0005330409,0.0009007136,0.003491648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02022408,"threshold_uncertainty_score":0.04021275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0388516925503064,"score_gpt":0.2657081335646013,"score_spread":0.2268564410142949,"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."}}