{"id":"W4235146699","doi":"10.32920/ryerson.14646120.v1","title":"Study of impact of sonic energy waves on the rate of precipitation of particles in liquid","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Settling; Viscosity; Amplitude; Range (aeronautics); Particle (ecology); Materials science; Mechanics; Particle velocity; Particle size; Particle density; Physics; Thermodynamics; Chemistry; Composite material; Optics; Geology; Volume (thermodynamics)","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":[0.0005898213,0.0002683608,0.000453983,0.0002643475,0.0001489352,0.0002935961,0.0002447335,0.0002948652,0.0008850473],"category_scores_gemma":[0.001549841,0.0001658089,0.0003519887,0.000287532,0.0002578217,0.0002540316,0.0001862002,0.0004383781,0.0002300704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457935,"about_ca_system_score_gemma":0.0002277189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314891,"about_ca_topic_score_gemma":0.0008194974,"domain_scores_codex":[0.9995177,0.0000853271,0.00003133906,0.00007812704,0.0002258795,0.00006160726],"domain_scores_gemma":[0.9984961,0.00104795,0.0001474568,0.00005538926,0.0001981148,0.00005510969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003310215,0.00008209178,0.001601559,0.00008866162,0.00001482947,0.00005348823,0.00007888924,0.0006997643,0.9891986,0.00004557815,0.00003334528,0.007772205],"study_design_scores_gemma":[0.000008252398,0.0009056739,0.005942252,0.00000311388,0.00001449792,0.00003169108,0.00003762419,0.005090443,0.9876835,0.00002024851,0.0002546658,0.000008138998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951947,0.0005226714,0.00356064,0.00002574566,0.0000157279,0.00002402051,0.00008434933,0.00002451295,0.0005474604],"genre_scores_gemma":[0.9950991,0.0003732189,0.003218425,0.0000206244,0.000008699315,0.00002753882,0.00009726363,0.00001985428,0.001135207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001314891,"threshold_uncertainty_score":0.00311929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403142559299984,"score_gpt":0.3096788151499189,"score_spread":0.2856473895569191,"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."}}