{"id":"W7030219347","doi":"","title":"Modelling dissolved oxygen content in water for ultrasound power measurements","year":2018,"lang":"en","type":"article","venue":"NPARC","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Ultrasound; Water content; Oxygen; Content (measure theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002870717,0.0001174913,0.0001502821,0.0000753624,0.00004504023,0.00003050638,0.0001044512,0.00004468924,0.00036453],"category_scores_gemma":[0.00001297721,0.0000916924,0.00007731147,0.00006126883,0.00001824278,0.00006911025,0.000007748338,0.00005218777,0.00006044767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006569224,"about_ca_system_score_gemma":0.000003546528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001242647,"about_ca_topic_score_gemma":0.0000469781,"domain_scores_codex":[0.9991466,0.000009723408,0.0001943851,0.0001440454,0.0001972992,0.0003079189],"domain_scores_gemma":[0.9997088,0.00001288618,0.000009532218,0.0001427189,0.00007748172,0.0000485474],"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":[0.00002669543,0.00003246629,0.001824345,0.00002360157,0.0001239299,5.503837e-7,0.0006769863,0.02199421,0.9735163,0.00003983635,0.001497084,0.0002439936],"study_design_scores_gemma":[0.001757282,0.00008874077,0.0004919133,0.00008685999,0.00009157559,7.428077e-7,0.0001721906,0.4780519,0.5080555,0.002250114,0.008421439,0.0005317644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175907,0.00005250275,0.06671411,0.00008324886,0.0003116614,0.0002489889,0.000004257173,0.0001083591,0.01488621],"genre_scores_gemma":[0.9972316,0.00000579512,0.002231752,0.00003720773,0.00009414454,0.00003376712,0.00001242835,0.00002593983,0.0003273727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4654608,"threshold_uncertainty_score":0.3991348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07976377433110816,"score_gpt":0.2312838775316053,"score_spread":0.1515201032004972,"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."}}