{"id":"W2021922917","doi":"10.1039/c4sm01402b","title":"Synthesis, self-assembly and photophysical properties of oligo(2,5-dihexyloxy-1,4-phenylene vinylene)-block-poly(ethylene glycol)","year":2014,"lang":"en","type":"article","venue":"Soft Matter","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ethylene glycol; Materials science; Differential scanning calorimetry; Copolymer; Micelle; Polymer; Dynamic light scattering; Polymer chemistry; Phenylene; Transmission electron microscopy; Crystallography; PEG ratio; Lamellar structure; Self-assembly; Fluorescence; Chemical engineering; Nanoparticle; Chemistry; Nanotechnology; Physical chemistry; Optics; Composite material; Aqueous solution","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005874126,0.000553397,0.0008703569,0.0001696819,0.0002395771,0.0001850334,0.0007313483,0.0002504407,0.0003318562],"category_scores_gemma":[0.0001074323,0.0004658039,0.0001619718,0.0002434665,0.0002836094,0.0004418554,0.0004740666,0.0002255261,0.001051518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007196114,"about_ca_system_score_gemma":0.0001154464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003986124,"about_ca_topic_score_gemma":0.00003961265,"domain_scores_codex":[0.9965415,0.0003472988,0.0007295567,0.0009159544,0.000605688,0.0008599796],"domain_scores_gemma":[0.9978861,0.0003272835,0.0003285731,0.001012225,0.0001703874,0.0002754253],"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":[0.0001031575,0.0002857202,0.001294349,0.000334039,0.00005084559,0.000005421666,0.000482352,0.000001646761,0.9945166,0.0002074389,0.00116864,0.001549774],"study_design_scores_gemma":[0.0005506944,0.0001555317,0.003436532,0.000213082,0.0001410409,0.00004207152,0.00007932279,0.0003764622,0.9927911,0.000238549,0.001391593,0.0005839893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949735,0.001030052,0.0002237922,0.001234792,0.0004798896,0.0004064173,0.00001861945,0.0003426855,0.001290189],"genre_scores_gemma":[0.9955673,0.00003009217,0.002305903,0.001173072,0.0003716999,0.0001747649,0.000001859675,0.000111362,0.0002639539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002142183,"threshold_uncertainty_score":0.9997793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007137053810052176,"score_gpt":0.2007666879354838,"score_spread":0.1936296341254317,"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."}}