{"id":"W2946784778","doi":"10.1016/j.advengsoft.2019.05.002","title":"An automated method for size and velocity distribution measurement in a particle-laden flow","year":2019,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Blood properties and coagulation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Range (aeronautics); Tracking (education); Particle (ecology); Image processing; Breakage; Ellipse; Computer science; Mechanics; Particle-size distribution; Particle size; Flow (mathematics); Computer vision; Optics; Materials science; Physics; Image (mathematics); Mathematics; Geometry; Engineering; Geology","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":[0.0009598992,0.0008880994,0.001040113,0.002978554,0.0007506934,0.001374447,0.001367517,0.001319221,0.003869448],"category_scores_gemma":[0.003011894,0.000668667,0.0004395085,0.001162075,0.0004812324,0.0008672688,0.001007679,0.0009066876,0.001766243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005592611,"about_ca_system_score_gemma":0.001347578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002667822,"about_ca_topic_score_gemma":0.003060789,"domain_scores_codex":[0.9986458,0.0001525357,0.00007197984,0.0002676458,0.0008028944,0.00005907859],"domain_scores_gemma":[0.9978175,0.0007922658,0.0001969747,0.0003099662,0.0007751351,0.0001080474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003481172,0.0002438662,0.005438771,0.0002259506,0.0001107347,0.0001804289,0.0002056996,0.008314719,0.3011893,0.003081202,0.006208784,0.6744524],"study_design_scores_gemma":[0.0001553517,0.0002306367,0.009620314,0.00004471123,0.00009434374,0.0009606584,0.00006915098,0.7020427,0.268501,0.003412738,0.01466064,0.0002076613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009481674,0.0001204799,0.9804283,0.00005804591,0.0000633085,0.00007820039,0.0001665549,0.0089397,0.0006638494],"genre_scores_gemma":[0.1424241,0.0001581003,0.8531525,0.0001610971,0.00008120179,0.0002987373,0.0003791649,0.0007597757,0.002585435],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003869448,"threshold_uncertainty_score":0.01294458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108112072339162,"score_gpt":0.2800388310056328,"score_spread":0.2692276237717166,"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."}}