{"id":"W2965176276","doi":"10.1002/app.48295","title":"<i>In situ</i> compatibilization of a polyethylene, polypropylene, and polystyrene ternary blend through Friedel–Crafts alkylation","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Fundação Araucária; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Compatibilization; Materials science; Polystyrene; Polypropylene; High-density polyethylene; Polyethylene; Polymer blend; Polymer chemistry; Ternary operation; Ultimate tensile strength; Composite material; Phase (matter); Polymer; Organic chemistry; Copolymer; Chemistry","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":[0.0001768896,0.0003741127,0.0001684612,0.0002477017,0.0001483876,0.0001953775,0.0001531205,0.0001757987,0.001066781],"category_scores_gemma":[0.0001803331,0.0001435285,0.0001952907,0.0002012675,0.0001692056,0.000356274,0.00020393,0.000251599,0.0002699104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983636,"about_ca_system_score_gemma":0.0001496726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003989768,"about_ca_topic_score_gemma":0.0007778113,"domain_scores_codex":[0.9998844,0.00001790426,0.000008469999,0.00002461484,0.00003537081,0.00002923603],"domain_scores_gemma":[0.9999125,0.00001458277,0.00003960076,0.000007627908,0.00001299266,0.00001272735],"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":[0.00003505925,0.000008537397,0.00003275488,0.00002385269,0.00000294445,0.00002077132,0.000009020979,0.00004708011,0.9991111,0.00005745027,0.00001377478,0.0006377359],"study_design_scores_gemma":[0.000001429083,0.00002727606,0.0001754734,8.974037e-7,0.00000290562,0.00001509979,0.00000209526,0.0001601882,0.9993265,0.000004862361,0.0002825133,8.915578e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920008,0.0005416808,0.004625494,0.0000361015,0.00002475221,0.00002331909,0.00007733375,0.00009759144,0.002572968],"genre_scores_gemma":[0.9961713,0.0002401788,0.002060643,0.00001408202,0.000007019471,0.000007532683,0.000054429,0.00003604825,0.001408756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066781,"threshold_uncertainty_score":0.003568709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009013917030983348,"score_gpt":0.2370230185251092,"score_spread":0.2280091014941259,"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."}}