{"id":"W4380853192","doi":"10.21105/joss.05435","title":"APECSS: A software library for cavitation bubbledynamics and acoustic emissions","year":2023,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Ultrasound and Cavitation Phenomena","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Deutsche Forschungsgemeinschaft","keywords":"Bubble; Cavitation; Acoustics; Shock (circulatory); Shock wave; Compressibility; Mechanics; Acoustic attenuation; Attenuation; Physics; Aerospace engineering; Computer science; Engineering; Optics","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":[0.0009658747,0.000123677,0.0002197229,0.00009120686,0.0004654367,0.000388995,0.0006942169,0.00004815951,0.0001514628],"category_scores_gemma":[0.0008877828,0.00008055558,0.00006033614,0.0002743476,0.00008865173,0.0008512556,0.0002275409,0.0001330037,0.00003412641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002330811,"about_ca_system_score_gemma":0.0001501103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004842254,"about_ca_topic_score_gemma":0.000002246437,"domain_scores_codex":[0.9989139,0.0001207847,0.0003717055,0.0001237946,0.0002453018,0.0002245288],"domain_scores_gemma":[0.9976271,0.001562027,0.0003597355,0.000176466,0.0001434062,0.0001312277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002271597,0.0004276792,0.01118187,0.0008999851,0.0002860248,0.00004585549,0.07202064,0.06145389,0.5954539,0.0009323391,0.1879874,0.06703883],"study_design_scores_gemma":[0.0228728,0.00591018,0.05912467,0.003895532,0.00300108,0.002781063,0.18714,0.008754845,0.03018775,0.3917377,0.279865,0.004729445],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141011,0.0002826163,0.08305694,0.001370824,0.0003231504,0.0004777088,0.0001882967,0.0001499566,0.00004939042],"genre_scores_gemma":[0.9362258,0.000272762,0.05041067,0.001299115,0.0004287891,0.00004704786,0.00008716052,0.000130281,0.01109836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5652662,"threshold_uncertainty_score":0.3751087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136928768483539,"score_gpt":0.2836092090233336,"score_spread":0.2622399213384983,"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."}}