{"id":"W315872696","doi":"","title":"CMOS AND MEMS BASED MICROSYSTEMS FOR MANIPULATION AND DETECTION OF MAGNETIC BEADS FOR BIOMEDICAL APPLICATIONS","year":2014,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal; CMC Microsystems","keywords":"Humanities; Physics; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003640939,0.000449911,0.0003160814,0.000386966,0.0003116953,0.0006203647,0.0004078216,0.0007227042,0.002974812],"category_scores_gemma":[0.0004217884,0.0003070061,0.000339235,0.0003256289,0.0002897235,0.0004477516,0.0004254827,0.0005215165,0.001350924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006684092,"about_ca_system_score_gemma":0.0006507846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005339157,"about_ca_topic_score_gemma":0.0009954975,"domain_scores_codex":[0.9995016,0.00003915552,0.00002940684,0.00007556975,0.0003070327,0.00004722548],"domain_scores_gemma":[0.9998325,0.00004242266,0.00003940197,0.00001505465,0.00005558254,0.00001503549],"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":[0.00008109748,0.00001811862,0.0002702373,0.0004733508,0.00001692505,0.0001337374,0.00006175334,0.0005500882,0.9523897,0.005867241,0.001798362,0.03833955],"study_design_scores_gemma":[0.00002799041,0.0003978264,0.002950608,0.0000978944,0.00003892819,0.0006515951,0.00007579678,0.006502775,0.8690733,0.001193886,0.1189497,0.00003956623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3014768,0.1357131,0.4490364,0.00666675,0.00459365,0.001273618,0.002715214,0.003812709,0.0947118],"genre_scores_gemma":[0.5186954,0.03611973,0.3568784,0.002128021,0.0007897752,0.001085375,0.001130927,0.0001607246,0.08301154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002974812,"threshold_uncertainty_score":0.009951711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00807182547884515,"score_gpt":0.202935451123745,"score_spread":0.1948636256448999,"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."}}