{"id":"W2064955622","doi":"10.1016/j.polymer.2009.09.016","title":"NMR quantification of the partition of coronal chain segments of block copolymer vesicles","year":2009,"lang":"en","type":"article","venue":"Polymer","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Copolymer; Vesicle; Relaxation (psychology); Reagent; Materials science; Chemistry; Polymer chemistry; Polymer; Membrane; Physical chemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957077,0.0002832688,0.0001627383,0.0002016263,0.0002546289,0.000362024,0.0002010634,0.0003599196,0.00116663],"category_scores_gemma":[0.0002270804,0.0001253425,0.0001034992,0.0001250071,0.000258709,0.0005291321,0.0002207074,0.0005136337,0.0002691595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003163033,"about_ca_system_score_gemma":0.0002475072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009287556,"about_ca_topic_score_gemma":0.0008006953,"domain_scores_codex":[0.9999024,0.00001404643,0.000002523161,0.00003354028,0.00001847877,0.00002908666],"domain_scores_gemma":[0.9998951,0.00003484922,0.00001812662,0.00000720741,0.00002604266,0.00001868542],"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":[0.00007818348,0.00000786207,0.00009494275,0.0000115858,0.000002794648,0.000009598649,0.00001143809,0.00004718938,0.9988422,0.0001120491,0.00001573738,0.0007664444],"study_design_scores_gemma":[0.000005829491,0.00009098402,0.001767392,0.000004047355,0.0000124862,0.0000445357,0.00002013139,0.00186037,0.9956769,0.00004913418,0.0004649409,0.000003214433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886325,0.0008416484,0.008114929,0.00006865567,0.00001871558,0.00001848457,0.0002601626,0.00005046854,0.001994444],"genre_scores_gemma":[0.9888822,0.0007895661,0.006504994,0.00006947535,0.00002921926,0.00005254569,0.0005163209,0.00003991195,0.00311581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00116663,"threshold_uncertainty_score":0.003902793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401645518018146,"score_gpt":0.2399732242499767,"score_spread":0.2259567690697952,"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."}}