{"id":"W2418321294","doi":"10.1007/s10404-015-1693-y","title":"Production of monodispersed magnetic polymeric microspheres in a microfluidic chip and 3D simulation","year":2016,"lang":"en","type":"article","venue":"Microfluidics and Nanofluidics","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Kempe Foundation","keywords":"Microfluidics; Microsphere; Microfluidic chip; Nanotechnology; Lab-on-a-chip; Chip; Materials science; Computer science; Chemical engineering; Engineering; Telecommunications","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":[0.0002321519,0.0002587672,0.0002234019,0.0002112608,0.000289429,0.0004208937,0.0004142847,0.0003748158,0.002392687],"category_scores_gemma":[0.000250808,0.0002930634,0.0003519786,0.0001564817,0.0002104042,0.0002300741,0.0002258694,0.0002233552,0.0003687439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007604985,"about_ca_system_score_gemma":0.0006512335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002999729,"about_ca_topic_score_gemma":0.003227774,"domain_scores_codex":[0.9998996,0.000006652776,0.00000629725,0.00001949409,0.00005002733,0.00001784819],"domain_scores_gemma":[0.9999235,0.00002773744,0.00001301496,0.00001238329,0.00001571954,0.000007651058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001757027,0.0001340562,0.001212587,0.0002141884,0.00004270138,0.0002627326,0.0001024608,0.387448,0.5865581,0.008038462,0.0007747958,0.01503617],"study_design_scores_gemma":[0.00005354671,0.000115125,0.0009761378,0.000006492615,0.00001272825,0.00004105984,0.00001737451,0.6912069,0.3036696,0.0006714024,0.00320219,0.00002735251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7513412,0.0004588752,0.2278459,0.0003935004,0.0001225228,0.0002638921,0.001336454,0.00191202,0.0163257],"genre_scores_gemma":[0.8973367,0.0001831202,0.09835755,0.00002950456,0.0000119394,0.000158244,0.0003941516,0.00009789218,0.003431008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002999729,"threshold_uncertainty_score":0.008004308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008203312388636103,"score_gpt":0.2141510366203316,"score_spread":0.2059477242316955,"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."}}