{"id":"W2099750653","doi":"10.1002/pen.20108","title":"Melt processing of PA‐66/clay, HDPE/clay and HDPE/PA‐66/clay nanocomposites","year":2004,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; High-density polyethylene; Differential scanning calorimetry; Nanocomposite; Composite material; Montmorillonite; Exfoliation joint; Scanning electron microscope; Crystallinity; Crystallization; Ultimate tensile strength; Polyethylene; Chemical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005230762,0.0003236472,0.0003916202,0.0002642605,0.0004316211,0.0003818206,0.0005099697,0.00008616261,0.00002389734],"category_scores_gemma":[0.00004539268,0.0002610651,0.00005210651,0.0006154218,0.0007664621,0.0007889798,0.000269384,0.0001446813,0.00001027036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004394143,"about_ca_system_score_gemma":0.0001724237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003821407,"about_ca_topic_score_gemma":0.000003729765,"domain_scores_codex":[0.997721,0.00002157657,0.0004161684,0.0006255198,0.0005079088,0.0007077897],"domain_scores_gemma":[0.9991133,0.00006131038,0.0001311963,0.0003125757,0.00008497842,0.0002966683],"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":[0.00001603279,0.00003374292,0.0003516017,0.0001327822,0.000005355576,0.00000512588,0.001232962,0.0004703013,0.9917837,0.0007639225,0.000004107459,0.005200374],"study_design_scores_gemma":[0.0003904332,0.0001325372,0.001105628,0.000264026,0.00002443178,0.00008975592,0.00004663947,0.003522571,0.9937201,0.00007939913,0.0002534092,0.0003710277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797704,0.01782816,0.0009230832,0.000281011,0.0002989702,0.0002366717,0.00001601532,0.0001477696,0.000497913],"genre_scores_gemma":[0.9960129,0.0001454147,0.003453299,0.00009377048,0.00007983626,0.00003156123,0.000001361156,0.00002748019,0.0001543352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01768274,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00826438431380272,"score_gpt":0.2124426329176247,"score_spread":0.204178248603822,"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."}}