{"id":"W1989027130","doi":"10.1007/bf03016478","title":"Shear rates derived from ultrasound images and particle image velocimetry","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Particle image velocimetry; Shear (geology); Velocimetry; Particle tracking velocimetry; Ultrasound; Optics; Geology; Physics; Materials science; Acoustics; Mechanics; Turbulence; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003510043,0.0002596607,0.0004009858,0.0003401048,0.0004046375,0.0001285886,0.0003098938,0.0001550484,0.0001765642],"category_scores_gemma":[0.0001726449,0.0002587137,0.0001145573,0.0002986283,0.0002334849,0.0005686417,0.000003842104,0.0006615366,0.00001989395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693787,"about_ca_system_score_gemma":0.0006200156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001952225,"about_ca_topic_score_gemma":0.00105567,"domain_scores_codex":[0.9984506,0.00006513073,0.0005371475,0.0001424147,0.0001862018,0.0006184924],"domain_scores_gemma":[0.9977568,0.0001813355,0.0001491646,0.0001586367,0.0002192281,0.00153488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0000887118,0.00004406822,0.1102811,0.00007789951,0.0006612482,0.8086939,0.007835083,0.01498832,0.03463332,0.0001890577,0.01936166,0.003145585],"study_design_scores_gemma":[0.0005666462,0.0001205303,0.1839186,0.00005492924,0.00006223227,0.8052008,0.0003966684,0.0002732053,0.006609868,0.00014793,0.002303981,0.0003446132],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929516,0.005284045,0.0005080121,0.0007606332,0.0002764748,0.00005552019,0.000009410037,0.00003136998,0.000122989],"genre_scores_gemma":[0.9966149,0.0005395217,0.002277569,0.00004302826,0.000408234,0.000001486019,0.000004132914,0.0000533035,0.00005780694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07363744,"threshold_uncertainty_score":0.9999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008314268983097438,"score_gpt":0.1914930292850491,"score_spread":0.1831787603019517,"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."}}