{"id":"W2627068101","doi":"","title":"Toward the Development of Nucleic Acid Assays Using Fluorescence Resonance Energy Transfer (FRET) and a Novel Label Free Molecular Switching Construct","year":2012,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Förster resonance energy transfer; Construct (python library); Nucleic acid; Fluorescence; Energy transfer; Chemistry; Computational biology; Biophysics; Nanotechnology; Combinatorial chemistry; Biochemistry; Materials science; Computer science; Biology; Chemical physics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002125757,0.0008238661,0.000759828,0.0006732175,0.000344222,0.001671095,0.001605868,0.0009713562,0.001282618],"category_scores_gemma":[0.00135387,0.0005920386,0.0005264088,0.0003761585,0.0006717697,0.001475838,0.0007643692,0.001978168,0.001016151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008453388,"about_ca_system_score_gemma":0.000814175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002817229,"about_ca_topic_score_gemma":0.0003608443,"domain_scores_codex":[0.9984187,0.0003106082,0.00009491083,0.0003522698,0.0007136253,0.0001099577],"domain_scores_gemma":[0.9992029,0.0002530239,0.0001526753,0.00008494757,0.0002432143,0.00006316803],"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":[0.00004936059,0.0001084206,0.0003253232,0.0002086949,0.00001245677,0.00006764845,0.00009665523,0.001262999,0.9645497,0.00974279,0.0001936623,0.02338233],"study_design_scores_gemma":[0.000006603489,0.0002666407,0.0002145702,0.00003107677,0.00001728017,0.0002035383,0.00003787614,0.006380679,0.9823238,0.000659177,0.009838261,0.00002055597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2052386,0.00373276,0.7802484,0.0008590171,0.0002579697,0.0005400163,0.000251516,0.001003577,0.007868131],"genre_scores_gemma":[0.2467614,0.004136325,0.7366133,0.0003475341,0.00008755877,0.000586433,0.0005653902,0.0001538344,0.0107482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002125757,"threshold_uncertainty_score":0.01124221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516664387103063,"score_gpt":0.2456119136912324,"score_spread":0.2304452698202018,"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."}}