{"id":"W4391787532","doi":"10.1016/j.heliyon.2024.e26320","title":"A generalized analytical energy balance model for evaluating agglomeration from a binary collision of wet particles","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Natural Resources Canada","funders":"","keywords":"Collision; Economies of agglomeration; Mechanics; Particle (ecology); Energy balance; Materials science; Capillary action; Monte Carlo method; Collision frequency; Thermodynamics; Physics; Composite material; Mathematics; Computer science; Engineering; Statistics; Geology; Plasma","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001443127,0.0001041211,0.000171649,0.00006867923,0.00002897187,0.00003516191,0.00005621768,0.00007378415,0.00002218884],"category_scores_gemma":[0.00002888293,0.00009672056,0.00008989726,0.0001631985,0.00001385847,0.0000947251,0.00001349845,0.00004630817,0.000009744906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000339788,"about_ca_system_score_gemma":0.00002669025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001089254,"about_ca_topic_score_gemma":0.000009344124,"domain_scores_codex":[0.9992557,0.00002296193,0.000244997,0.000161469,0.0001594531,0.0001554283],"domain_scores_gemma":[0.9996825,0.00008205497,0.00001307517,0.000134395,0.00004318065,0.00004481959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005584084,0.0000197396,0.00003507299,0.0002854263,0.00005002403,0.000002876477,0.0002416522,0.1881277,0.8016886,0.004688319,0.0008649784,0.003939802],"study_design_scores_gemma":[0.0003907187,0.00004638154,0.00002166429,0.0002116327,0.00005378389,6.004952e-7,0.000007832144,0.9032039,0.09420653,0.001177394,0.0005820179,0.00009754596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7295076,0.007621346,0.2623191,0.00005400443,0.00016733,0.00008990888,0.00007604308,0.0001145645,0.00005009316],"genre_scores_gemma":[0.9858465,0.0006380741,0.01315231,0.00002724833,0.00009456697,0.00004801821,0.00007756223,0.00003002733,0.00008566624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7150762,"threshold_uncertainty_score":0.394415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347165953144073,"score_gpt":0.2877123145245341,"score_spread":0.2542406549930933,"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."}}