{"id":"W4388024635","doi":"10.1016/j.ab.2023.115369","title":"Microarray fabrication techniques for multiplexed bioassay applications","year":2023,"lang":"en","type":"review","venue":"Analytical Biochemistry","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Fabrication; DNA microarray; Microarray; Computer science; Nanotechnology; Protein microarray; Multiplexing; Materials science; Biology","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":[0.0009189782,0.001566399,0.001418144,0.002085317,0.0002878634,0.001205015,0.001896755,0.00141467,0.003702599],"category_scores_gemma":[0.0009457686,0.0007123384,0.0006966435,0.002530203,0.0005843254,0.001456879,0.0009728929,0.002562386,0.004563951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000922167,"about_ca_system_score_gemma":0.0007015718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038967,"about_ca_topic_score_gemma":0.001676369,"domain_scores_codex":[0.9994926,0.00005777771,0.0000304221,0.0001041992,0.0002670111,0.00004790484],"domain_scores_gemma":[0.9996368,0.0001658858,0.00004395573,0.00002150952,0.0001118664,0.00001989561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006873153,0.0001072889,0.00009664179,0.009110395,0.00007597359,0.000174697,0.0000398677,0.0006695556,0.04143561,0.007650206,0.03506411,0.9055068],"study_design_scores_gemma":[0.00001470054,0.0001016983,0.0004352953,0.0009068916,0.00007970047,0.0006591415,0.00002624731,0.0006057804,0.02062294,0.002680873,0.9738212,0.00004545269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003369698,0.9864302,0.007542948,0.0003899539,0.0007818611,0.00003297497,0.0001062299,0.00008970385,0.004289245],"genre_scores_gemma":[0.002028673,0.9815137,0.008239551,0.0005716056,0.0004377817,0.00007083398,0.0002487383,0.00002098286,0.006868121],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003702599,"threshold_uncertainty_score":0.01238644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04552113391997275,"score_gpt":0.3849502154818872,"score_spread":0.3394290815619145,"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."}}