{"id":"W2064689138","doi":"10.1016/j.bpj.2009.12.3163","title":"Fretting About FRET: Breakdown of the Ideal Dipole Approximation","year":2010,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Förster resonance energy transfer; Ideal (ethics); Dipole; Fluorescence; Chemistry; Computer science; Biophysics; Nanotechnology; Physics; Materials science; Biology; Optics; Quantum mechanics","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":[0.0001186653,0.000097289,0.00009854491,0.00001644844,0.0001225235,0.00002426369,0.0003093956,0.0001088208,0.00001340217],"category_scores_gemma":[0.00007791872,0.00006602196,0.0001244669,0.00007130903,0.0001980616,0.00000709614,0.0001066794,0.0003463221,0.000003528125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007334006,"about_ca_system_score_gemma":0.00004582248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006547218,"about_ca_topic_score_gemma":0.000002930418,"domain_scores_codex":[0.9993249,0.00003136012,0.0001971268,0.0001339303,0.0001481393,0.0001645453],"domain_scores_gemma":[0.9994081,0.000007311705,0.0001840096,0.0002513467,0.00009494374,0.00005430118],"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":[0.0000142219,0.00003826835,0.001093872,0.000004822661,0.000008793038,4.431469e-7,0.00001703798,0.00000258746,0.9942538,0.0004034823,0.0005292719,0.003633396],"study_design_scores_gemma":[0.0001238944,0.00006415813,0.005961475,0.00001905075,0.000007544212,0.00004038226,0.00001043729,0.00007901962,0.9907798,0.000570007,0.002262508,0.00008175787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779576,0.00003767358,0.02119857,0.0001643122,0.000235292,0.00009206316,0.00001049733,0.00001058641,0.0002933804],"genre_scores_gemma":[0.9809878,0.000014697,0.01821621,0.00008912779,0.0006070922,0.000003562253,0.00000480042,0.00001388831,0.0000628288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004867603,"threshold_uncertainty_score":0.2692297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004393971236994958,"score_gpt":0.2565062766546703,"score_spread":0.2521123054176753,"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."}}