{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001553223,0.0002223174,0.0002731547,0.00007215884,0.0001398427,0.00007849097,0.0005893357,0.00005213296,0.002111155],"category_scores_gemma":[0.0001610878,0.0002002866,0.0001227714,0.0001605319,0.0002351318,0.0003079333,0.0005098662,0.0001794795,0.0008017686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007589311,"about_ca_system_score_gemma":0.00005391796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007213906,"about_ca_topic_score_gemma":0.000006491794,"domain_scores_codex":[0.997891,0.00008088194,0.0003298555,0.0004931047,0.0007977178,0.0004074141],"domain_scores_gemma":[0.9991173,0.000130266,0.0001232444,0.0001936299,0.0001874919,0.0002480292],"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":[0.0001542037,0.00009110115,0.0005478246,0.000018093,0.00007360905,0.00005132157,0.0004612798,0.00005311253,0.9963715,0.000905876,0.0008449038,0.0004271433],"study_design_scores_gemma":[0.0005062659,0.00006165408,0.0003369756,0.00001563881,0.00001476679,0.000009223674,0.00005812781,0.003115415,0.9912987,0.0001301855,0.004239104,0.0002139293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783784,0.001593797,0.009642289,0.006356695,0.0007790934,0.0001935115,0.0002323846,0.0002239441,0.002599958],"genre_scores_gemma":[0.9935313,0.00004813652,0.00322824,0.0008935258,0.0007338177,0.00001677456,0.00008249807,0.00002837058,0.001437319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01515299,"threshold_uncertainty_score":0.9999762,"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."}}