{"id":"W1983132383","doi":"10.1021/ac8012434","title":"Digitized Molecular Diagnostics: Reading Disk-Based Bioassays with Standard Computer Drives","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Chemistry; Reading (process); Streptavidin; Multiplex; Biosensor; Computer hardware; Software; Autofluorescence; Protocol (science); SIGNAL (programming language); Nanotechnology; Microfluidics; Fluorescence; Computer science; Optoelectronics; Biotin; Optics; Bioinformatics; Physics","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":[0.002084477,0.001450239,0.0008902645,0.002572106,0.0004654045,0.001420847,0.002362377,0.0007982688,0.0134045],"category_scores_gemma":[0.004679981,0.000616673,0.0002755877,0.001315772,0.0006790215,0.0009346954,0.0008756042,0.001376517,0.008581801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005879362,"about_ca_system_score_gemma":0.000817842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003035155,"about_ca_topic_score_gemma":0.0006487404,"domain_scores_codex":[0.994686,0.001002735,0.0005878357,0.0008887209,0.002684278,0.0001504297],"domain_scores_gemma":[0.9970781,0.0008811639,0.0002483785,0.0007098883,0.0009339363,0.0001486428],"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":[0.0007875183,0.0004512054,0.003300814,0.0009003895,0.00006922647,0.0002739851,0.000257837,0.000617774,0.7567098,0.003032088,0.01551476,0.2180847],"study_design_scores_gemma":[0.0001834816,0.001714061,0.007041266,0.0001145266,0.0001516254,0.002208123,0.0001789639,0.01186108,0.904249,0.001577741,0.07060175,0.0001183788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06068822,0.002703452,0.897052,0.0006421867,0.000795863,0.003394243,0.003780589,0.01596057,0.01498292],"genre_scores_gemma":[0.1255958,0.002690136,0.8336377,0.0008755659,0.0003316257,0.006357167,0.005631791,0.00112085,0.02375937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0134045,"threshold_uncertainty_score":0.04484248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005094977862273016,"score_gpt":0.1829916658877446,"score_spread":0.1778966880254716,"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."}}