{"id":"W1993099147","doi":"10.5539/mas.v4n9p157","title":"Influence of Polymer Blending on Mechanical and Thermal Properties","year":2010,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Miscibility; Differential scanning calorimetry; Polystyrene; Polymer; Glass transition; Composite material; Plastics extrusion; Tensile testing; Acrylonitrile butadiene styrene; Ultimate tensile strength; Work (physics); Thermal; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001602095,0.00008440663,0.00008361697,0.00008470663,0.0000947175,0.00002433333,0.000279098,0.00004465264,0.00000342385],"category_scores_gemma":[0.00003410708,0.0000655344,0.000008893708,0.00009646795,0.0004826559,0.00006917389,0.0001232419,0.000218995,0.000005175361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007570441,"about_ca_system_score_gemma":0.00001072476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003192312,"about_ca_topic_score_gemma":8.837963e-7,"domain_scores_codex":[0.9993888,0.000001660318,0.00008486709,0.0001754316,0.0001615998,0.000187643],"domain_scores_gemma":[0.9997129,0.00002149728,0.00001834216,0.0002033376,0.00001232926,0.00003162943],"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":[0.000002700011,0.00000402881,0.00001693519,0.000009756293,0.000001555781,2.302078e-7,0.0001146362,0.003020788,0.9733356,0.007502461,9.946976e-7,0.01599027],"study_design_scores_gemma":[0.0000438776,0.00001012924,0.00245286,0.00001201063,0.000001385074,0.000001248986,0.00002141627,0.03257539,0.9636032,0.001186655,0.000009770749,0.0000820472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961524,0.00001049163,0.001348213,0.00002390039,0.00003714845,0.00005801968,0.000001019468,0.0002929822,0.00207585],"genre_scores_gemma":[0.9993597,0.000002634534,0.0005874272,0.00001253384,0.000009672261,0.00000977794,6.285585e-8,0.000008077737,0.00001006939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02955461,"threshold_uncertainty_score":0.2672415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110641409787318,"score_gpt":0.1986819338725945,"score_spread":0.1876177928938627,"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."}}