{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001781222,0.0002258355,0.0002465665,0.0001354849,0.0001318485,0.00007612416,0.0001894455,0.0001832976,0.00003808486],"category_scores_gemma":[0.0002746494,0.0002221028,0.0001370552,0.000311489,0.00004669028,0.0000896994,0.00005323298,0.0002217748,0.0001010539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000362616,"about_ca_system_score_gemma":0.000005217762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004863687,"about_ca_topic_score_gemma":0.00002219899,"domain_scores_codex":[0.9988033,0.00003892653,0.0002653582,0.0002638797,0.0001796334,0.0004489269],"domain_scores_gemma":[0.9992365,0.0001257145,0.00003924864,0.000416311,0.00003765404,0.0001446076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004875034,0.0001062379,0.0009069159,0.000285048,0.0002713237,0.00003618007,0.0004539994,0.002710648,0.9723981,0.00253259,0.005718239,0.01457583],"study_design_scores_gemma":[0.001958579,0.0002791195,0.006141083,0.0002384748,0.0004444269,0.0001494484,0.0002853821,0.6067096,0.2276482,0.002823839,0.1526493,0.0006725278],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763519,0.0004927421,0.00972262,0.00003003923,0.0006684609,0.0001207495,0.00001646263,0.0006636603,0.01193342],"genre_scores_gemma":[0.994266,0.00003448474,0.004517792,0.0001281959,0.0006859838,0.000004258344,0.000004471687,0.0000722682,0.0002865008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7447499,"threshold_uncertainty_score":0.9057087,"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."}}