{"id":"W2764254818","doi":"","title":"Quantitative Characterization of Pyrene-Labeled Macromolecules in Solution by Global Analysis of Fluorescence Decays","year":2012,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; McMaster University","keywords":"Characterization (materials science); Pyrene; Macromolecule; Fluorescence; Chemistry; Nanotechnology; Analytical Chemistry (journal); Biophysics; Chromatography; Materials science; Biochemistry; Physics; Biology; Organic chemistry; Optics","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":[0.0003784354,0.0004660568,0.0004404486,0.0003870798,0.0001689388,0.0003500588,0.0002391251,0.0003498936,0.0005989279],"category_scores_gemma":[0.0006147036,0.0001696088,0.0002989949,0.000322645,0.0002787125,0.0005724473,0.0002517188,0.0006301704,0.0002732789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003786852,"about_ca_system_score_gemma":0.0001759473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000402392,"about_ca_topic_score_gemma":0.0003650358,"domain_scores_codex":[0.9998041,0.00003059775,0.000009005205,0.00007647565,0.00005273804,0.00002709233],"domain_scores_gemma":[0.9996717,0.0001144991,0.0000776069,0.00002649197,0.00008337136,0.00002632476],"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":[0.00003036278,0.000007618189,0.0002297382,0.00004692072,0.000006024116,0.00001865673,0.00005004564,0.0004689185,0.9970589,0.00008748281,0.00001147303,0.00198397],"study_design_scores_gemma":[0.00000264194,0.00009646353,0.001603045,0.000004139803,0.00001332024,0.00003903412,0.00001734883,0.004969591,0.9928039,0.00005029154,0.0003931164,0.000007056867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303346,0.001231252,0.06662784,0.00003458005,0.000008945978,0.00006689059,0.0004061465,0.0002930258,0.0009967338],"genre_scores_gemma":[0.9483429,0.001893616,0.04566047,0.00005503698,0.000009646858,0.0002721045,0.0007493778,0.0001338557,0.002883063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005989279,"threshold_uncertainty_score":0.002747536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008309775757783676,"score_gpt":0.2190915362996958,"score_spread":0.2107817605419121,"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."}}