{"id":"W2104976030","doi":"10.1109/tnb.2005.864020","title":"Computational Modeling of a New Fluorescent Biosensor for Caspase Proteolytic Activity Improves Dynamic Range","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on NanoBioscience","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Förster resonance energy transfer; Biosensor; Yellow fluorescent protein; Fluorescence; Green fluorescent protein; Biophysics; Dynamic range; Protease; Fluorescent protein; Chemistry; Molecular biophysics; Fusion protein; Biochemistry; Biology; Computer science; Enzyme; Recombinant DNA; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009915723,0.0001734179,0.0001504666,0.0001023541,0.0001579379,0.0000177465,0.000201521,0.0001063449,0.000001773106],"category_scores_gemma":[0.000009663344,0.0001704373,0.0001240164,0.0001948924,0.0001820513,0.00001802895,0.000003231299,0.00008023108,0.000001178379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005865171,"about_ca_system_score_gemma":0.0002135589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001366086,"about_ca_topic_score_gemma":0.00007868101,"domain_scores_codex":[0.9988858,0.00001919868,0.0002204693,0.0004446857,0.0001626093,0.0002672102],"domain_scores_gemma":[0.9994528,0.00001741862,0.00009548712,0.0002522173,0.0001188026,0.00006324203],"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":[0.0001666487,0.0001708592,0.000003955737,0.00002463422,0.00000515423,3.885619e-7,0.00001242271,0.05977126,0.9365554,0.00001126312,0.00003147324,0.003246584],"study_design_scores_gemma":[0.0004321782,0.0003410757,0.00003633112,0.00002942023,0.00001202484,0.000006115911,0.000007824074,0.1462926,0.8524421,0.0002066977,0.00003442357,0.0001592138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2789233,0.00003044518,0.7201337,0.00007687261,0.00009362789,0.0005948138,0.0001113786,0.00003009362,0.000005856652],"genre_scores_gemma":[0.8783405,0.00001662989,0.1212875,0.0000347134,0.00002278623,0.0000700483,0.00000947466,0.00001814773,0.0002001815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5994173,"threshold_uncertainty_score":0.695023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092294124402851,"score_gpt":0.2768886008267562,"score_spread":0.2659656595827277,"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."}}