{"id":"W4307268249","doi":"10.32920/21263016.v1","title":"Collective nonlinear behavior of interacting polydisperse microbubble clusters","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Ultrasound and Cavitation Phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Constructive; Nonlinear system; Physics; Bubble; Dynamics (music); Cluster (spacecraft); Statistical physics; Excited state; Bifurcation; Mechanics; Computer science; Process (computing); Acoustics; Atomic physics; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001246625,0.0001666304,0.0001965286,0.0003344124,0.0003844888,0.0003010463,0.0002907377,0.0002851047,0.0009006934],"category_scores_gemma":[0.0004267659,0.0001242004,0.0001317291,0.0001477956,0.0004876102,0.0002717222,0.0003578881,0.0002710432,0.0001036981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004620038,"about_ca_system_score_gemma":0.0002582272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00254879,"about_ca_topic_score_gemma":0.001773454,"domain_scores_codex":[0.9999266,0.000009320369,0.000002314512,0.00001977828,0.00002606643,0.00001597822],"domain_scores_gemma":[0.9997684,0.00008571507,0.00005949757,0.00001264879,0.00003614465,0.00003762276],"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":[0.0003404563,0.0001500174,0.009108181,0.0001516407,0.00007952976,0.001322232,0.001070779,0.4511907,0.5112703,0.01172295,0.001093322,0.01249981],"study_design_scores_gemma":[0.000007444721,0.00006432478,0.003292053,0.000003745391,0.000006397067,0.00006852963,0.00007229306,0.978968,0.01611346,0.001063556,0.0003229323,0.00001722923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895359,0.00007636075,0.00826725,0.0001088583,0.000009139834,0.00001287971,0.0000266984,0.00007025644,0.001892687],"genre_scores_gemma":[0.9968362,0.00002907395,0.001788095,0.0000144485,0.000003360573,0.00001182429,0.00002227772,0.000009533685,0.001285202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00254879,"threshold_uncertainty_score":0.005067945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072026536031067,"score_gpt":0.286303630975293,"score_spread":0.2655833656149824,"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."}}