{"id":"W2484309028","doi":"10.1090/cln/020/10","title":"Refined profile of solutions at quenching time","year":2010,"lang":"en","type":"book-chapter","venue":"Courant lecture notes in mathematics","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quenching (fluorescence); Materials science; Computer science; Physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066225,0.0009020374,0.0009706842,0.001929563,0.001220693,0.002732608,0.002314374,0.00198297,0.01145563],"category_scores_gemma":[0.007051328,0.000645504,0.0009037692,0.0006518168,0.001977818,0.003319756,0.001744794,0.002992332,0.001519114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002635699,"about_ca_system_score_gemma":0.001462083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004242181,"about_ca_topic_score_gemma":0.002113753,"domain_scores_codex":[0.9995745,0.00008491524,0.00001667554,0.0000811697,0.0001158223,0.0001268959],"domain_scores_gemma":[0.9977726,0.00049022,0.0002468948,0.0002069401,0.0006446703,0.0006385466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003467757,0.000136484,0.001426044,0.0002050997,0.00003918281,0.0004389964,0.0006014417,0.07988069,0.02762967,0.8732406,0.004978308,0.01107672],"study_design_scores_gemma":[0.00005649538,0.0001100945,0.002872095,0.00008876553,0.00002908707,0.0003167759,0.0002621576,0.6368094,0.007470706,0.3462726,0.005588287,0.0001235386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4012487,0.001731838,0.4600729,0.002533842,0.0007214331,0.000320958,0.001352285,0.001793112,0.1302249],"genre_scores_gemma":[0.8896745,0.0007411942,0.04426453,0.0006061849,0.0002285083,0.0002366499,0.0008045475,0.0007658629,0.06267798],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01145563,"threshold_uncertainty_score":0.03832287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964157062599611,"score_gpt":0.2358823642026899,"score_spread":0.2162407935766938,"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."}}