{"id":"W1554327355","doi":"10.1002/9780470979228.ch3","title":"Introduction to Microfluidics","year":2011,"lang":"en","type":"other","venue":"","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfluidics; Nanotechnology; Computer science; Materials science","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":[0.0004225977,0.001288974,0.000870652,0.001938608,0.0007115364,0.001769425,0.001168978,0.001099321,0.08107147],"category_scores_gemma":[0.0006291884,0.0005897296,0.0006024828,0.001633223,0.0005211045,0.001855117,0.001379031,0.001789294,0.04600852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088446,"about_ca_system_score_gemma":0.001464313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110158,"about_ca_topic_score_gemma":0.002033629,"domain_scores_codex":[0.9994,0.00004098041,0.0000295413,0.0001058511,0.000372158,0.00005141777],"domain_scores_gemma":[0.999762,0.00006057839,0.00001189687,0.00002662859,0.0001125015,0.00002637323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004069288,0.0001248497,0.0001319219,0.001304896,0.00001457412,0.0001546377,0.00008218102,0.001296589,0.01643923,0.06306277,0.385807,0.5315407],"study_design_scores_gemma":[0.000002292248,0.00001481608,0.00008082642,0.00008994619,0.00000330753,0.0001023135,0.000009254407,0.0003401115,0.003208186,0.004549501,0.9915895,0.000009978707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001660952,0.1502657,0.1694248,0.004584753,0.01847507,0.0004337577,0.003076535,0.004604532,0.6474739],"genre_scores_gemma":[0.007541101,0.114928,0.05541213,0.003054676,0.004008836,0.0003912354,0.002257363,0.0006834552,0.8117232],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08107147,"threshold_uncertainty_score":0.2712111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00562156393196916,"score_gpt":0.1849103484704265,"score_spread":0.1792887845384574,"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."}}