{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003913969,0.0002137249,0.0002737572,0.00002990125,0.00007140054,0.00004508729,0.0001015448,0.0001292396,0.0001108364],"category_scores_gemma":[0.00005153493,0.0001785456,0.0001145322,0.0002180236,0.0001890598,0.00005199494,0.00001864791,0.0002420852,0.00002232345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009023793,"about_ca_system_score_gemma":0.00002302355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003107505,"about_ca_topic_score_gemma":3.220092e-7,"domain_scores_codex":[0.9989556,0.00000766824,0.0002058608,0.0002530227,0.0002620448,0.000315811],"domain_scores_gemma":[0.9993443,0.0001238205,0.00002119445,0.0002322908,0.00005938958,0.000218967],"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":[0.001458416,0.001726083,0.05345533,0.004447408,0.004456955,0.01544225,0.0005405117,0.2915711,0.5378591,0.006223054,0.06211907,0.02070061],"study_design_scores_gemma":[0.001081741,0.0001165797,0.0005402429,0.0001333787,0.0001414109,0.0000636469,0.00001549359,0.5599615,0.4340075,0.0002612509,0.003042598,0.0006346643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7844689,0.00008276798,0.2054082,0.0001808516,0.0000421968,0.00007203009,0.00003294677,0.0005321301,0.009180014],"genre_scores_gemma":[0.9977282,0.00005042146,0.001808289,0.0000935722,0.0001279533,0.000004774049,0.00002533368,0.00003639431,0.0001250993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2683904,"threshold_uncertainty_score":0.7280877,"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."}}