{"id":"W4389007346","doi":"10.1096/fasebj.30.1_supplement.724.3","title":"An Experimentally‐Derived Wall Shear Rate Equation for Use in Microvascular Preparations","year":2016,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shear rate; Shear (geology); Mechanics; Materials science; Geometry; Chemistry; Anatomy; Biomedical engineering; Mathematics; Composite material; Physics; Rheology; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001480882,0.001150436,0.0005652062,0.001127477,0.0002613963,0.000571439,0.001531012,0.0008112662,0.003312259],"category_scores_gemma":[0.003056477,0.0004456292,0.0007016489,0.0007149987,0.0003312382,0.001057828,0.0005323011,0.00162939,0.002385281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007520535,"about_ca_system_score_gemma":0.0008139737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392397,"about_ca_topic_score_gemma":0.001563045,"domain_scores_codex":[0.9992617,0.0001169247,0.00008796545,0.0002057179,0.0002739386,0.00005378082],"domain_scores_gemma":[0.9992363,0.0002663474,0.0001608439,0.00009135343,0.0002253975,0.00001983904],"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":[0.0002670493,0.0003193541,0.00817324,0.001098069,0.0001173193,0.000670056,0.000466155,0.05138544,0.6889142,0.04422645,0.01041521,0.1939473],"study_design_scores_gemma":[0.00006006881,0.0005707492,0.01196095,0.0002819145,0.000172062,0.0009837878,0.00009490875,0.5840244,0.3311417,0.01363101,0.05692215,0.0001562693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04443775,0.002068424,0.9440857,0.0002908703,0.0002298539,0.0002995377,0.001149303,0.001440015,0.005998567],"genre_scores_gemma":[0.3088005,0.004418121,0.6687058,0.0003389545,0.0001387142,0.001917777,0.002619974,0.000667139,0.01239308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003312259,"threshold_uncertainty_score":0.01108062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05796608408071273,"score_gpt":0.3296002399966302,"score_spread":0.2716341559159174,"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."}}