{"id":"W4400829806","doi":"10.1002/pen.26864","title":"Tailoring <scp>LLDPE</scp> properties with modified palygorskite fillers: A comprehensive study","year":2024,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Linear low-density polyethylene; Palygorskite; Chemical engineering; Microfiber; Materials science; Composite material; Chemistry; Polymer science; Polymer; Mineralogy; Engineering; Clay minerals","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":[0.0002455175,0.000260726,0.0002379996,0.0002596285,0.0003323947,0.0008455447,0.0003606719,0.00003137482,0.000006999226],"category_scores_gemma":[0.00002945199,0.0001710559,0.0000308527,0.0006353897,0.0003502996,0.0006726112,0.0001896482,0.0001491518,0.00003070512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003166087,"about_ca_system_score_gemma":0.0000940117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000235704,"about_ca_topic_score_gemma":0.000003504144,"domain_scores_codex":[0.9981269,0.00002262516,0.0002086466,0.0006002235,0.0004650539,0.0005765416],"domain_scores_gemma":[0.9993539,0.00009339015,0.00002858073,0.0002752159,0.00005705985,0.000191787],"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":[0.000007546798,0.00003058488,0.0002161527,0.00009415469,0.00001736727,0.0000308543,0.004953258,0.002736167,0.9907034,0.0002488497,0.00001526444,0.000946417],"study_design_scores_gemma":[0.0002878341,0.0003746682,0.00175433,0.0003484571,0.00004375628,0.00009041045,0.001693324,0.07477425,0.9195216,0.000005850984,0.0008682815,0.0002372781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826354,0.0153998,0.0004682208,0.00005539479,0.0004723881,0.0002440946,0.000006321581,0.0003775996,0.0003407803],"genre_scores_gemma":[0.9987833,0.00003912388,0.0002792965,0.00003446838,0.00008396997,0.00005634599,4.59291e-7,0.00002753174,0.0006955084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07203808,"threshold_uncertainty_score":0.8153607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227992117979352,"score_gpt":0.2174712727637262,"score_spread":0.1951913515839327,"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."}}