{"id":"W4387025148","doi":"10.32920/24192189.v1","title":"Optimizing Ultrasound Settings in Ultrasound and Microbubble Treatment of ARDS","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Ultrasound; Cavitation; ARDS; Medicine; Therapeutic ultrasound; Biomedical engineering; Lung; Radiology; Internal medicine; Acoustics","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":[0.0009219566,0.0005163737,0.0004453271,0.0005325906,0.0002092475,0.0007060607,0.0003659321,0.0005706656,0.001056962],"category_scores_gemma":[0.001432455,0.0003516308,0.0002519089,0.0004167268,0.0003892842,0.0007545207,0.0004327942,0.0005698158,0.0004417238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004751667,"about_ca_system_score_gemma":0.0003931921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006258729,"about_ca_topic_score_gemma":0.0009067946,"domain_scores_codex":[0.999461,0.0001796622,0.00003571962,0.00008232952,0.0001753846,0.00006592752],"domain_scores_gemma":[0.9994986,0.0002200824,0.0001435331,0.00002700751,0.00006959587,0.00004110391],"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":[0.0001903571,0.0000851391,0.0004020442,0.0002257187,0.00001207001,0.00005447552,0.00004906424,0.001583265,0.9864498,0.0002170604,0.0001726073,0.01055837],"study_design_scores_gemma":[0.0000305685,0.0007742615,0.002001385,0.00003468763,0.00003831465,0.0001559485,0.00005782168,0.005620112,0.9871831,0.0001606579,0.003912116,0.00003099911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8398834,0.04054379,0.1132576,0.0008199702,0.0002349108,0.0003457988,0.0002250849,0.0008037759,0.00388568],"genre_scores_gemma":[0.9174573,0.01031141,0.06994461,0.0002923541,0.00006848578,0.0002141617,0.0001753916,0.0002309086,0.001305362],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001056962,"threshold_uncertainty_score":0.004875779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193879586608255,"score_gpt":0.2404769426958251,"score_spread":0.2210889840349997,"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."}}