{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006225912,0.00009454945,0.0001705472,0.00008852912,0.00006019401,0.00006375245,0.00004449855,0.00004984733,0.000007438273],"category_scores_gemma":[0.0003690789,0.00007597165,0.00005175878,0.0002996759,0.00008915134,0.00007857806,0.00001331167,0.00005643627,0.000004643817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003846258,"about_ca_system_score_gemma":0.00003171065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001392476,"about_ca_topic_score_gemma":0.00002175021,"domain_scores_codex":[0.9990003,0.000008429582,0.000276592,0.0002511451,0.000262394,0.0002012175],"domain_scores_gemma":[0.9992619,0.00007477016,0.00007057521,0.0003121908,0.0001544224,0.0001262141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001249882,0.0003413395,0.01729584,0.000993751,0.0003650943,0.0008137646,0.001429617,0.09543706,0.3619689,0.0008679202,0.4882577,0.03210402],"study_design_scores_gemma":[0.0004718034,0.000184763,0.00146409,0.0002551104,0.0001274639,0.0001873658,0.0001876294,0.07053213,0.7848187,0.00656018,0.1346938,0.0005169839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90554,0.0006553272,0.05564032,0.00009365842,0.009788508,0.0006801601,0.00003068219,0.0005005577,0.02707076],"genre_scores_gemma":[0.9962301,0.000007514594,0.002299628,0.000003565242,0.00006930067,0.00001348203,0.00001751829,0.000019704,0.001339173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4228498,"threshold_uncertainty_score":0.3098034,"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."}}