{"id":"W2053457372","doi":"10.1021/ma802801h","title":"Multistep Thermosensitivity of Poly(<i>N</i>-<i>n</i>-propylacrylamide)-<i>block</i>-poly(<i>N</i>-isopropylacrylamide)-<i>block</i>-poly(<i>N</i>,<i>N</i>-ethylmethylacrylamide) Triblock Terpolymers in Aqueous Solutions As Studied by Static and Dynamic Light Scattering","year":2009,"lang":"en","type":"article","venue":"Macromolecules","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Micelle; Copolymer; Poly(N-isopropylacrylamide); Polymer chemistry; Chain transfer; Chemistry; Polymerization; Raft; Monomer; Dispersity; Dynamic light scattering; Krafft temperature; Chemical engineering; Aqueous solution; Materials science; Polymer; Radical polymerization; Organic chemistry; Critical micelle concentration; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001361154,0.001671142,0.001797302,0.0006931868,0.0007406184,0.0002060477,0.001303008,0.0008173851,0.0000256137],"category_scores_gemma":[0.0005320771,0.001735258,0.0005423989,0.001295634,0.001271837,0.000103497,0.0008620398,0.0009127069,0.00005213845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429474,"about_ca_system_score_gemma":0.0004907868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563816,"about_ca_topic_score_gemma":0.0008982875,"domain_scores_codex":[0.9908074,0.0009959033,0.002279409,0.00255979,0.001039672,0.002317882],"domain_scores_gemma":[0.9954449,0.0002324102,0.001014107,0.00227871,0.0003590236,0.0006708747],"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":[0.0005327397,0.0009167967,0.0006326567,0.0001710432,0.0002966663,0.00009945027,0.0006657252,0.00004736281,0.9410456,0.0001269545,0.0005028762,0.05496212],"study_design_scores_gemma":[0.003787598,0.001494137,0.002259094,0.0003746555,0.0003180047,0.000560267,0.001110086,0.001390074,0.9791114,0.0009548395,0.006225027,0.00241479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363427,0.05368705,0.001365084,0.003654387,0.0002305476,0.002223304,0.0005354959,0.0002662539,0.001695216],"genre_scores_gemma":[0.9906971,0.003017737,0.002567598,0.002090196,0.0001330537,0.0003837046,0.0002573529,0.0002991566,0.0005540494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05435449,"threshold_uncertainty_score":0.9996036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008474021748997028,"score_gpt":0.2396539762194786,"score_spread":0.2311799544704815,"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."}}