{"id":"W2802901241","doi":"10.3390/ht7020010","title":"Red Blood Cell Agglutination for Blood Typing Within Passive Microfluidic Biochips","year":2018,"lang":"en","type":"article","venue":"High-Throughput","topic":"Blood groups and transfusion","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Indigenous and Northern Affairs Canada; LABoratoires d’EXcellence ARCANE","keywords":"Biochip; Agglutination (biology); Blood typing; Microfluidics; Whole blood; Typing; Biomedical engineering; Computer science; Medicine; Materials science; Immunology; Nanotechnology; Antibody","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":[0.0007234425,0.0006168487,0.0004014102,0.0004052767,0.0002003765,0.0006264616,0.0006338832,0.0005358347,0.0006490939],"category_scores_gemma":[0.0008736428,0.0003166687,0.0003556994,0.0002795593,0.0003123156,0.0004650952,0.0003905255,0.0004425299,0.0005461563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003156881,"about_ca_system_score_gemma":0.0003089684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002355123,"about_ca_topic_score_gemma":0.0003852045,"domain_scores_codex":[0.9994197,0.0001067875,0.00004858747,0.0001690911,0.0002138768,0.00004195266],"domain_scores_gemma":[0.9994816,0.0002067124,0.0001150863,0.00007070223,0.0000970443,0.00002887095],"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":[0.00004437305,0.00001783995,0.000411551,0.00008693167,0.000007243508,0.00002630855,0.00003036658,0.0001943275,0.9912197,0.0002767706,0.00009554125,0.007589138],"study_design_scores_gemma":[0.000005627422,0.0001172489,0.001129792,0.000008395074,0.00002290104,0.0001259209,0.000007887676,0.005241221,0.9909858,0.0001146305,0.002229323,0.00001130159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4196705,0.005160793,0.5689089,0.0003478166,0.000420133,0.0003101467,0.0005283316,0.001776274,0.002877127],"genre_scores_gemma":[0.6948358,0.002540316,0.2985488,0.0003473799,0.0001384311,0.0002479925,0.0003891141,0.0001023343,0.002849772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007234425,"threshold_uncertainty_score":0.003825963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314327830937267,"score_gpt":0.2444214674246653,"score_spread":0.2312781891152927,"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."}}