{"id":"W2035745977","doi":"10.1111/vox.12207","title":"<scp>PCR</scp>‐free blood group genotyping using a nanobiosensor","year":2014,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Héma-Québec","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genotyping; Flow cytometry; DNA; genomic DNA; Molecular biology; Biology; SNP genotyping; Whole blood; Genotype; Genetics; Gene; Immunology","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":[0.0003362101,0.0002598698,0.000171914,0.0002726353,0.0001315482,0.0002720036,0.0002716064,0.0004931075,0.0007419045],"category_scores_gemma":[0.0005172441,0.0001407418,0.000155324,0.0001327702,0.0002837078,0.0001975435,0.0002168802,0.0002649879,0.0004119826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003131593,"about_ca_system_score_gemma":0.0001903794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003524791,"about_ca_topic_score_gemma":0.000514476,"domain_scores_codex":[0.9995535,0.0000660924,0.00002559116,0.0001406612,0.0001906598,0.00002345002],"domain_scores_gemma":[0.9997072,0.0001021806,0.00006750371,0.00002730241,0.00007396926,0.00002181104],"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":[0.00003942414,0.00001565485,0.0004112121,0.0000342764,0.000003549915,0.00002565894,0.00001190423,0.0001945531,0.9934357,0.00008805339,0.0001308447,0.005609104],"study_design_scores_gemma":[0.0000109301,0.000119486,0.002111921,0.000007546202,0.00001061357,0.0001614151,0.0000132697,0.004665271,0.9909261,0.0001072832,0.001856641,0.000009369956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7431649,0.001347249,0.2460783,0.0005801038,0.0002186675,0.0002589636,0.0003912114,0.001261155,0.00669954],"genre_scores_gemma":[0.8183552,0.0005131634,0.1750665,0.0006636586,0.00006614549,0.0003111426,0.0003211169,0.00004646812,0.004656577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007419045,"threshold_uncertainty_score":0.002481878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00964069066255233,"score_gpt":0.1930769338029154,"score_spread":0.1834362431403631,"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."}}