{"id":"W2622446411","doi":"10.1121/1.4987297","title":"Towards the accurate characterization of the shell parameters of microbubbles based on attenuation and sound speed measurements","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Attenuation; Acoustics; Speed of sound; Nonlinear system; Subharmonic; Sound pressure; Materials science; Shell (structure); Mechanics; Nonlinear acoustics; Range (aeronautics); Computational physics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001500884,0.0006616499,0.0005609454,0.0009838729,0.0001744974,0.0005058725,0.0005505064,0.0007612373,0.000657408],"category_scores_gemma":[0.005425022,0.0003852171,0.0002844732,0.0004155336,0.0005789807,0.001719318,0.0006042943,0.0006912664,0.0004697172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003490269,"about_ca_system_score_gemma":0.0003587643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005801138,"about_ca_topic_score_gemma":0.0005014089,"domain_scores_codex":[0.9995528,0.0001097703,0.0000237579,0.00007704904,0.0002114653,0.00002513526],"domain_scores_gemma":[0.9982406,0.0007194511,0.0003986147,0.0002296105,0.0003669263,0.0000448649],"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":[0.00007120407,0.00004215167,0.001925167,0.0001505976,0.0000123444,0.00002997787,0.00009627023,0.01267773,0.9609688,0.001258074,0.0001080508,0.02265953],"study_design_scores_gemma":[0.000007865706,0.0001091096,0.002537962,0.0000162067,0.00001305906,0.00007688221,0.00002855572,0.2109481,0.784143,0.0009535548,0.001134233,0.00003147684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2202955,0.0008380652,0.7766872,0.0001197352,0.00002377348,0.00007332936,0.000157016,0.0008386876,0.0009665681],"genre_scores_gemma":[0.6157402,0.001314682,0.3814303,0.0000524174,0.00002205779,0.0001343974,0.000298273,0.0002142373,0.0007935095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001500884,"threshold_uncertainty_score":0.007937551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062991932492056,"score_gpt":0.2408900547362403,"score_spread":0.2102601354113198,"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."}}