{"id":"W3034075326","doi":"10.1002/pi.6058","title":"Compatibility, crystallinity and mechanical properties of poly(lactic acid)‐poly(ether‐ <i>block</i> ‐amide) based copper nanocomposites","year":2020,"lang":"en","type":"article","venue":"Polymer International","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Materials science; Crystallinity; Nanocomposite; Copper; Fourier transform infrared spectroscopy; Nanoparticle; Chemical engineering; Polymer chemistry; Ternary operation; Lactic acid; Dynamic mechanical analysis; Polymer; Composite material; Nanotechnology","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":[0.0002163447,0.0002975395,0.0001231393,0.0003766625,0.0001420534,0.0002397292,0.0001113663,0.0001779208,0.0009041319],"category_scores_gemma":[0.0003218293,0.000190488,0.0001255773,0.0002019401,0.0002082469,0.0002175314,0.0001138676,0.0002117183,0.000161562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886932,"about_ca_system_score_gemma":0.0001073913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005256996,"about_ca_topic_score_gemma":0.0009987458,"domain_scores_codex":[0.9998525,0.00002278717,0.00001005311,0.00003104682,0.00005836716,0.00002519954],"domain_scores_gemma":[0.9997476,0.00006646544,0.00007617778,0.00001219242,0.00005494587,0.0000426882],"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":[0.00006876057,0.00001166579,0.0001450037,0.00001899686,0.000002374314,0.00001777429,0.00001604083,0.00007155213,0.9990504,0.00002230118,0.000009541503,0.0005655626],"study_design_scores_gemma":[0.000005020456,0.0001482087,0.002489991,0.000002737202,0.000008683261,0.00003516161,0.00001328883,0.0007975271,0.9962367,0.000007706587,0.000251447,0.000003517635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977824,0.000423824,0.0007785549,0.00001279936,0.000007271273,0.000006190885,0.0000470911,0.00002580384,0.0009160868],"genre_scores_gemma":[0.9982315,0.0001100427,0.0007306354,0.000004181844,0.000003077253,0.000008762768,0.00004728324,0.00001322474,0.0008512957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009041319,"threshold_uncertainty_score":0.003024638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04642448180606772,"score_gpt":0.2453086488801313,"score_spread":0.1988841670740635,"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."}}