{"id":"W1976508197","doi":"10.1117/12.2040612","title":"Modeling particle flow and blockages in microfluidic channels supported by periodic posts","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Microfluidics; Particle (ecology); Flow (mathematics); Computer science; Nanotechnology; Particle flow; Mechanics; Materials science; Physics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002505212,0.0002613931,0.0002468144,0.0003277905,0.00027074,0.0006360533,0.0004470889,0.0007383631,0.0008934533],"category_scores_gemma":[0.0007556079,0.000250757,0.000374669,0.0001924773,0.0004113125,0.0003153897,0.000308481,0.0002627669,0.0001207824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006037618,"about_ca_system_score_gemma":0.001000446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007242165,"about_ca_topic_score_gemma":0.00472849,"domain_scores_codex":[0.9998962,0.00001448576,0.000006096334,0.00002437596,0.00003166613,0.00002713207],"domain_scores_gemma":[0.9995541,0.0002558934,0.00008896365,0.00003549291,0.00003839046,0.0000271279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002834723,0.00002876899,0.00204967,0.00002087393,0.000005617794,0.00007424855,0.00002868439,0.9848745,0.008977668,0.001150962,0.00005484783,0.002705769],"study_design_scores_gemma":[0.000002846156,0.00002079271,0.0004261416,0.000001547714,0.000001845146,0.00001011616,0.000005246642,0.9977753,0.001498297,0.0001475921,0.0001077761,0.000002551232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8636623,0.000154579,0.1308297,0.00008770704,0.00002938597,0.00008531509,0.0002350708,0.0002798879,0.004636105],"genre_scores_gemma":[0.973309,0.0001421878,0.02413867,0.00001336141,0.00000565713,0.00007743269,0.00008558879,0.00002641728,0.00220165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007242165,"threshold_uncertainty_score":0.01440006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00881398985234077,"score_gpt":0.2024468125236024,"score_spread":0.1936328226712616,"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."}}