{"id":"W3093552840","doi":"10.1002/pi.6146","title":"Anchored metallocene linear low‐density polyethene cellulose nanocrystal composites","year":2020,"lang":"en","type":"article","venue":"Polymer International","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Institute for Critical Technologies and Applied Science, Virginia Tech; Virginia Polytechnic Institute and State University","keywords":"Materials science; Linear low-density polyethylene; Dynamic mechanical analysis; Thermogravimetric analysis; Composite material; Ultimate tensile strength; Polymer; Cellulose; Chemical engineering","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":[0.0001215953,0.0002881638,0.0001637739,0.000143542,0.00009133927,0.0001825119,0.0001556033,0.0002393477,0.00105635],"category_scores_gemma":[0.000196921,0.0001270488,0.0001461938,0.0001183172,0.0001250136,0.0001873569,0.0001180163,0.0002831074,0.0002167636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029605,"about_ca_system_score_gemma":0.000154404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009871419,"about_ca_topic_score_gemma":0.003036453,"domain_scores_codex":[0.9998709,0.000008629643,0.00001071774,0.00003625033,0.00004651152,0.00002700777],"domain_scores_gemma":[0.9998603,0.00004083835,0.00003444005,0.00001305844,0.00002845161,0.00002286459],"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":[0.00001577653,0.000004917474,0.00004683133,0.00001198271,0.000001913582,0.000016195,0.000002688767,0.00006685134,0.9993858,0.00001639672,0.000007596464,0.0004231328],"study_design_scores_gemma":[0.000003177444,0.0000359887,0.0009507744,0.000001730396,0.000003748643,0.00002568163,0.000004387321,0.0004715395,0.9981812,0.00000567461,0.0003139528,0.000001991831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944935,0.0004049744,0.003174526,0.00002458887,0.00001683765,0.00001598715,0.0001365787,0.00004462451,0.001688445],"genre_scores_gemma":[0.994414,0.0002608443,0.003557633,0.00002522625,0.000004741627,0.00002411885,0.0001494669,0.00001655189,0.001547426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00105635,"threshold_uncertainty_score":0.00353384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530126916829224,"score_gpt":0.2839945327868618,"score_spread":0.2586932636185695,"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."}}