{"id":"W3007465495","doi":"10.1117/12.2552534","title":"Ultrafast VCSEL-based plasmonic polymerase chain reaction with real-time label-free amplicon detection for point-of-care diagnostics","year":2020,"lang":"en","type":"article","venue":"","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University","funders":"","keywords":"Amplicon; Polymerase chain reaction; Point of care; Ultrashort pulse; Plasmon; Optoelectronics; Materials science; Computer science; Laser; Chemistry; Medicine; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00080658,0.0005759092,0.0004434433,0.0004065264,0.0001707563,0.0005750541,0.0009097618,0.0007092995,0.001090463],"category_scores_gemma":[0.0007092459,0.0004737183,0.0002891165,0.0003561472,0.0005655702,0.0007091647,0.0005526764,0.0006428776,0.0007054032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005992802,"about_ca_system_score_gemma":0.0003581398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002965437,"about_ca_topic_score_gemma":0.0008086759,"domain_scores_codex":[0.9991477,0.0001466368,0.00005223327,0.0002826667,0.0003081506,0.00006265063],"domain_scores_gemma":[0.9996116,0.0001862657,0.00007503834,0.00004072071,0.00006097747,0.00002536807],"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":[0.00002472921,0.00001911499,0.0001068207,0.00007919552,0.000005898597,0.00003149066,0.00002905214,0.0002488973,0.9905184,0.0004557635,0.0001235685,0.008357119],"study_design_scores_gemma":[0.000007888114,0.0001032405,0.0003126626,0.000007864304,0.00001226421,0.0001773962,0.00000999153,0.009107753,0.9876884,0.0001601113,0.002395573,0.00001700622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.381216,0.01105892,0.5977655,0.000635315,0.000469327,0.0002923072,0.0004841974,0.003416341,0.00466208],"genre_scores_gemma":[0.5795228,0.003803765,0.4087877,0.0003959164,0.0001306875,0.0003554279,0.0003624678,0.0001287918,0.006512314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001090463,"threshold_uncertainty_score":0.004348099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007896796865158203,"score_gpt":0.1923108427974872,"score_spread":0.184414045932329,"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."}}