{"id":"W2086908499","doi":"10.1002/pc.22319","title":"Preparation and properties of polyester nanocomposites: Effects of mixing","year":2012,"lang":"en","type":"article","venue":"Polymer Composites","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Materials science; Thermosetting polymer; Mixing (physics); Nanocomposite; Composite material; Viscoelasticity; Microstructure; Thermoplastic; Polyester; Dispersion (optics); Nanoparticle; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001739197,0.0002126939,0.0003941794,0.0001224085,0.0001098164,0.00004257897,0.0001955907,0.00007001204,0.00003107744],"category_scores_gemma":[0.00001590523,0.0001611984,0.0000756035,0.0001242118,0.0002653029,0.0005518888,0.0001630643,0.00005635114,0.00001541675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001154187,"about_ca_system_score_gemma":0.00001974484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002643805,"about_ca_topic_score_gemma":0.000002092951,"domain_scores_codex":[0.9986072,0.0001436735,0.0004418186,0.0002042583,0.0002399375,0.0003630849],"domain_scores_gemma":[0.9991814,0.0001424365,0.0002416392,0.0002635624,0.00005719053,0.000113739],"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":[0.0001484753,0.0001655364,0.02081407,0.0005192794,0.00002955717,3.346398e-7,0.003091978,0.000001724793,0.974281,0.0003796621,0.0000183361,0.0005500352],"study_design_scores_gemma":[0.0003293842,0.000212355,0.003215554,0.0003417293,0.00007622992,0.00001987759,0.00004107276,0.00006976556,0.9954188,0.0000115503,0.00006769621,0.0001959743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259552,0.07296548,0.00009750447,0.00005377603,0.0002577814,0.00028061,0.000007042114,0.00004787138,0.0003347672],"genre_scores_gemma":[0.9986901,0.0000460878,0.0008859025,0.00007118843,0.00008709366,0.00002688232,0.000002943063,0.00002214168,0.0001676441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07291939,"threshold_uncertainty_score":0.6573482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305974432451338,"score_gpt":0.2344051989817213,"score_spread":0.2213454546572079,"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."}}