{"id":"W2002404691","doi":"10.1016/j.measurement.2013.04.030","title":"Motion video image processing (MVIP) method for measuring microfluidic–structure interactions","year":2013,"lang":"en","type":"article","venue":"Measurement","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Microfluidics; Microchannel; Microsystem; Materials science; Deflection (physics); Finite element method; Microelectromechanical systems; Fluid–structure interaction; Acoustics; Mechanical engineering; Mechanics; Nanotechnology; Engineering; Optics; Structural engineering; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003492,0.0001605838,0.0001744858,0.00004122753,0.0001907324,0.0001319028,0.0001292329,0.0000322365,0.001056624],"category_scores_gemma":[0.00007028314,0.0001288246,0.0001252795,0.00009268339,0.00001458387,0.0002216194,0.00003722028,0.0001600817,0.00006022616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009002261,"about_ca_system_score_gemma":0.00003867955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009997797,"about_ca_topic_score_gemma":0.000004472898,"domain_scores_codex":[0.9987568,0.00005067321,0.0002629052,0.0002851625,0.0003505179,0.0002939691],"domain_scores_gemma":[0.9991482,0.00003969677,0.00008074406,0.0001553799,0.0004341455,0.0001418099],"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":[0.00001108966,0.0001190481,0.0001922779,0.0000492452,0.00004739675,9.940263e-8,0.00006023445,0.000005116139,0.6402839,0.002840661,0.002439172,0.3539518],"study_design_scores_gemma":[0.0009178711,0.00007316231,0.001379499,0.0001582573,0.0001111032,0.000001170426,0.0002281807,0.009279396,0.8935482,0.0493486,0.04453391,0.0004206705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009198302,0.0001429846,0.9868921,0.0008880713,0.0002189683,0.0006240468,0.00001439881,0.00004368569,0.001977423],"genre_scores_gemma":[0.9492528,6.940704e-7,0.04988789,0.0001022485,0.0003273277,0.0002132053,0.00001149106,0.00002283365,0.0001815154],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9400545,"threshold_uncertainty_score":0.9998565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753384257352996,"score_gpt":0.2841528024295264,"score_spread":0.2466189598559964,"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."}}