{"id":"W3193686012","doi":"10.3390/ma14174813","title":"Interface Strengthening of PS/aPA Polymer Blend Nanocomposites via In Situ Compatibilization: Enhancement of Electrical and Rheological Properties","year":2021,"lang":"en","type":"article","venue":"Materials","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; Petroleum Technology Development Fund; Tertiary Education Trust Fund; University of Toronto","keywords":"Materials science; Compatibilization; Polystyrene; Maleic anhydride; Nanocomposite; Polymer blend; Rheology; Polyamide; Polymer; Phase (matter); Carbon nanotube; Composite material; Chemical engineering; Polymer chemistry; Copolymer; Organic chemistry; 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":[0.0001526387,0.0004521158,0.0002284833,0.0003015648,0.0001317002,0.0002271155,0.0001709549,0.0002407062,0.000778836],"category_scores_gemma":[0.0002203486,0.0001824941,0.000221182,0.0001930662,0.0001379769,0.0004780217,0.0002307092,0.0004680532,0.0001944587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131799,"about_ca_system_score_gemma":0.00009009935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002071439,"about_ca_topic_score_gemma":0.0005144714,"domain_scores_codex":[0.9998888,0.00001420985,0.00001061979,0.0000318426,0.00003432518,0.0000201827],"domain_scores_gemma":[0.9998726,0.0000262763,0.00004919177,0.000008663797,0.0000231171,0.00002018404],"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":[0.00001010005,0.000006218148,0.00002188696,0.00001612493,0.000001450564,0.00001000495,0.000006332022,0.00002237521,0.9994162,0.00001216153,0.00000394235,0.0004731168],"study_design_scores_gemma":[0.000001839017,0.00004171775,0.0002966749,0.000001489666,0.00000496528,0.00001934624,0.000004571722,0.0004536213,0.998893,0.000005663902,0.0002756451,0.000001547702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926863,0.000946969,0.005106549,0.00004328737,0.00002825316,0.00002448668,0.00005762544,0.00009819671,0.00100831],"genre_scores_gemma":[0.9930362,0.0006168574,0.005215408,0.00002333543,0.00001249744,0.0000287272,0.00005235957,0.00003468997,0.0009797844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000778836,"threshold_uncertainty_score":0.002605438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838853791713953,"score_gpt":0.2407408241053506,"score_spread":0.2223522861882111,"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."}}