{"id":"W2415877070","doi":"10.1038/srep11727","title":"Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Barcode; Computer science; Multiplex; Point of care; Instrumentation (computer programming); Human–computer interaction; Bioinformatics; Medicine; Biology; Operating system","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":[0.001437659,0.001375332,0.0007168028,0.0008112859,0.0003615137,0.001275371,0.000945438,0.001581084,0.002517671],"category_scores_gemma":[0.005626457,0.0006847577,0.0005318659,0.0004530227,0.0008824987,0.001051775,0.001189595,0.001471029,0.002209321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003514386,"about_ca_system_score_gemma":0.0004306181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000364041,"about_ca_topic_score_gemma":0.0008587132,"domain_scores_codex":[0.9975496,0.0005575304,0.0001560518,0.0004390279,0.001151488,0.0001464099],"domain_scores_gemma":[0.9965557,0.001590519,0.0005090551,0.0003363218,0.0008882363,0.0001201711],"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":[0.00009456245,0.00004418236,0.0005808612,0.000341182,0.00002387377,0.0002097924,0.0001649266,0.000191169,0.9741489,0.001020103,0.001002107,0.02217821],"study_design_scores_gemma":[0.000009866899,0.0002074876,0.000965001,0.00006401997,0.00002852483,0.0004796343,0.00006060549,0.003162261,0.9853225,0.0003033432,0.009352148,0.00004460662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2237193,0.01048897,0.7422373,0.00194481,0.001967828,0.001341621,0.0008802319,0.004972632,0.01244738],"genre_scores_gemma":[0.4303771,0.006557695,0.5438255,0.00170582,0.0003342296,0.001651126,0.0007695619,0.0003890862,0.01438987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002517671,"threshold_uncertainty_score":0.008422434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594162242450556,"score_gpt":0.2136904104253147,"score_spread":0.1977487880008092,"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."}}