{"id":"W1995284342","doi":"10.1016/j.aca.2009.12.006","title":"Nanostructured biochip for label-free and real-time optical detection of polymerase chain reaction","year":2009,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biochip; Chemistry; Substrate (aquarium); Polymerase chain reaction; DNA; Real-time polymerase chain reaction; Recombinase Polymerase Amplification; Fluorescence; Nanotechnology; Molecular beacon; Detection limit; Analytical Chemistry (journal); Molecular biology; Chromatography; Oligonucleotide; Materials science; Biochemistry; Optics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001045484,0.0001839827,0.0002822921,0.000165009,0.00006699013,0.00002706282,0.00009889135,0.0001883276,0.00001053472],"category_scores_gemma":[0.0001315721,0.0001716734,0.00009605521,0.0002505642,0.00005985445,0.0001004643,0.00001483423,0.0001330355,0.000003043602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003885166,"about_ca_system_score_gemma":0.000007959668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001042709,"about_ca_topic_score_gemma":0.000009589169,"domain_scores_codex":[0.9990579,0.00001552984,0.0002958457,0.000240913,0.0001333496,0.0002564205],"domain_scores_gemma":[0.9994075,0.00007323094,0.00005144206,0.000291468,0.00004689544,0.0001294585],"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":[0.00007808168,0.00003001541,0.000003557435,0.00002947025,0.00004942618,5.736067e-7,0.00001730901,0.000001385991,0.9910815,0.0004891728,0.0002206091,0.007998923],"study_design_scores_gemma":[0.0008972127,0.0004319242,0.00537418,0.00003372033,0.0001969949,0.00002186197,0.00001529614,0.1160691,0.8732947,0.003135073,0.0002416702,0.0002882243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966099,0.00001934798,0.0003022438,0.0008064599,0.0001248425,0.0002165609,0.00003361158,0.0002088421,0.001678208],"genre_scores_gemma":[0.998647,0.0001361181,0.0008697498,0.0000433093,0.0001375365,0.00000344275,0.00001339594,0.00002355698,0.0001258649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1177867,"threshold_uncertainty_score":0.7000636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006140092426071006,"score_gpt":0.2079741333182762,"score_spread":0.2018340408922052,"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."}}