{"id":"W2606992672","doi":"10.1039/c7an00304h","title":"Real time plasmonic qPCR: how fast is ultra-fast? 30 cycles in 54 seconds","year":2017,"lang":"en","type":"article","venue":"The Analyst","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Genome Canada","keywords":"Plasmon; Amplicon; Scalability; Footprint; Computer science; Nanotechnology; Multiplexing; Polymerase chain reaction; Materials science; Computational biology; Optoelectronics; Chemistry; Biology; Telecommunications","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":[0.01559654,0.004061352,0.00351268,0.002399512,0.00126103,0.003169007,0.002189417,0.002937019,0.01844426],"category_scores_gemma":[0.01483333,0.003660672,0.001594746,0.001935164,0.003209256,0.003363749,0.002013067,0.006837891,0.01609348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428963,"about_ca_system_score_gemma":0.002266928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006071184,"about_ca_topic_score_gemma":0.001868399,"domain_scores_codex":[0.9751153,0.008809919,0.002222884,0.005062069,0.007388286,0.001401525],"domain_scores_gemma":[0.9925208,0.003500686,0.0007255805,0.0009210761,0.001951105,0.0003809248],"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":[0.001345324,0.0007476741,0.00350041,0.002541306,0.000201277,0.0002405773,0.001352502,0.001126124,0.7435521,0.00787414,0.0366631,0.2008555],"study_design_scores_gemma":[0.0002476487,0.002558979,0.005231843,0.00102249,0.0002799628,0.0009089105,0.0006830698,0.01920248,0.6965604,0.009805114,0.2628203,0.0006787744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04048968,0.01685912,0.8920999,0.00950186,0.008382296,0.002640432,0.001866526,0.01499925,0.01316098],"genre_scores_gemma":[0.04621225,0.008222912,0.907559,0.003770744,0.0007419833,0.005593647,0.001981111,0.003408865,0.02250952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01844426,"threshold_uncertainty_score":0.08248335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009902367181853357,"score_gpt":0.2176180115952356,"score_spread":0.2077156444133822,"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."}}