{"id":"W3201906158","doi":"10.1093/clinchem/hvab180","title":"Digital Microfluidic Hemagglutination Assays for Blood Typing, Donor Compatibility Testing, and Hematocrit Analysis","year":2021,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Abbott Diagnostics; University of Toronto; Canadian Blood Services","keywords":"Hematocrit; Compatibility (geochemistry); Typing; Hemagglutination; Blood typing; Biology; Computational biology; Immunology; Medicine; Internal medicine; Microbiology; Antibody; Engineering","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":[0.00134287,0.0007168832,0.0003014774,0.0009192015,0.0002608235,0.0009061396,0.0007668213,0.0005763345,0.002341687],"category_scores_gemma":[0.002374241,0.0002463155,0.0003538617,0.0005009724,0.0004789467,0.0005220355,0.0007567296,0.0005448849,0.001162604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006624347,"about_ca_system_score_gemma":0.0006644489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000373151,"about_ca_topic_score_gemma":0.0007448593,"domain_scores_codex":[0.9986745,0.0002382953,0.00008796677,0.0002709009,0.0006504149,0.00007794256],"domain_scores_gemma":[0.9987519,0.0003882208,0.000310949,0.0001531627,0.0002877309,0.0001079412],"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":[0.0003559622,0.0002843559,0.01371677,0.000571045,0.000065893,0.0001945533,0.0001638027,0.001200169,0.8316997,0.003813409,0.006566744,0.1413676],"study_design_scores_gemma":[0.00005515551,0.0006287473,0.01062369,0.00008911649,0.00008340704,0.001210698,0.00007381608,0.01273366,0.9296889,0.001372042,0.04336759,0.00007302425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3549602,0.01619335,0.5920666,0.003195978,0.001506083,0.001459435,0.004000627,0.005100675,0.02151701],"genre_scores_gemma":[0.6296539,0.004304957,0.3573424,0.001051157,0.0003030735,0.0007011021,0.001486515,0.0001121238,0.005044831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002341687,"threshold_uncertainty_score":0.007833719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0535003367641594,"score_gpt":0.3153056002050388,"score_spread":0.2618052634408794,"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."}}