{"id":"W2110410634","doi":"10.3390/s7091901","title":"Hybrid Integrated Silicon Microfluidic Platform for Fluorescence Based Biodetection","year":2007,"lang":"en","type":"article","venue":"Sensors","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Concordia University","funders":"","keywords":"Microfluidics; Microfabrication; Nanotechnology; Lab-on-a-chip; Biosensor; Materials science; Silicon; Chip; Microfluidic chip; Microelectromechanical systems; Biochip; Digital microfluidics; Biomolecule; Fabrication; Optoelectronics; Engineering; Electrowetting; Electrical engineering","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":[0.0003231782,0.0002908092,0.000246526,0.000295958,0.000141025,0.0004506604,0.0006206604,0.0003546588,0.001341851],"category_scores_gemma":[0.0001521752,0.0002080461,0.0002092134,0.0001764066,0.0002042242,0.0003316512,0.0002893765,0.0002400132,0.0004291846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003474496,"about_ca_system_score_gemma":0.0004231768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002612332,"about_ca_topic_score_gemma":0.0006238055,"domain_scores_codex":[0.9998425,0.00001651337,0.000008164316,0.00004224262,0.00006965036,0.0000209482],"domain_scores_gemma":[0.99992,0.00002697435,0.00001173664,0.000007934264,0.00002418565,0.000009165237],"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":[0.00005663996,0.0000351079,0.0001178469,0.00007735145,0.00001001323,0.00004529275,0.00001494232,0.0006839696,0.9858339,0.001351214,0.0003562574,0.01141746],"study_design_scores_gemma":[0.00003861427,0.000353801,0.0005912896,0.0000109216,0.00002488623,0.0001618909,0.00001219758,0.01719154,0.9697886,0.000342524,0.0114598,0.0000239936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6199424,0.009483013,0.3540038,0.0006927266,0.0007667042,0.0002701168,0.001049783,0.002150535,0.01164102],"genre_scores_gemma":[0.7346307,0.003236207,0.2513137,0.0003243822,0.0001191543,0.0002333178,0.0008684603,0.00005517377,0.009218823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001341851,"threshold_uncertainty_score":0.004488945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008984346028726392,"score_gpt":0.2113327919077509,"score_spread":0.2023484458790245,"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."}}