{"id":"W4386037969","doi":"10.1039/d3cp02958a","title":"Probing the inner local density of complex macromolecules by pyrene excimer formation","year":2023,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macromolecule; Pyrene; Macromolecular crowding; Chemistry; Polystyrene; Polymer chemistry; Covalent bond; Methyl methacrylate; Methacrylate; Polymer; Copolymer; Organic chemistry","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":[0.0002783962,0.0002233844,0.0002554055,0.0003715106,0.0003405996,0.0005176644,0.0003377135,0.0004049749,0.002288802],"category_scores_gemma":[0.0008346742,0.0002076454,0.0001391804,0.0002865264,0.0006364462,0.001255117,0.0004639346,0.0008845288,0.0002902057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567945,"about_ca_system_score_gemma":0.0001120801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002925899,"about_ca_topic_score_gemma":0.0003013277,"domain_scores_codex":[0.9998397,0.0000226099,0.000004411738,0.00006303023,0.00004523025,0.00002511249],"domain_scores_gemma":[0.9994959,0.0002399855,0.0001182395,0.00005643054,0.0000369202,0.00005256826],"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":[0.00006887184,0.00002862383,0.0009348771,0.00003193173,0.00000879123,0.00003271008,0.00008824726,0.0005026843,0.9938927,0.002009622,0.00005887523,0.002342185],"study_design_scores_gemma":[0.000005974391,0.00009341341,0.003916031,0.000003138771,0.000009869646,0.00008868664,0.00004523739,0.00693472,0.9872185,0.0008376419,0.000832368,0.00001432495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967448,0.000429652,0.0290412,0.0001120544,0.00000948368,0.00001463771,0.00008952396,0.0001131951,0.002742268],"genre_scores_gemma":[0.9937165,0.0002094561,0.005195551,0.00003652107,0.00000633033,0.00001176306,0.00006868073,0.00001705973,0.0007381294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002288802,"threshold_uncertainty_score":0.007656753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726907163687124,"score_gpt":0.2567549802190809,"score_spread":0.2394859085822096,"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."}}