{"id":"W2099701592","doi":"10.1002/cjce.5450800610","title":"Polymer‐Clay Nanocomposites Based on Blends of Polyamide‐6 and Polyethylene","year":2002,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Polyamide; Differential scanning calorimetry; High-density polyethylene; Nanocomposite; Polyethylene; Scanning electron microscope; Fourier transform infrared spectroscopy; Crystallization; Montmorillonite; Composite material; Polymer clay; Low-density polyethylene; Polymer; Chemical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001811616,0.0001246789,0.0002151588,0.0001393062,0.00006223967,0.00005077523,0.0002872543,0.00005473281,0.0002202988],"category_scores_gemma":[0.0000445735,0.0000845999,0.00006943844,0.0001151181,0.0001176408,0.00007514703,0.00001372462,0.0001667741,0.000005287033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004879892,"about_ca_system_score_gemma":0.00008566344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100794,"about_ca_topic_score_gemma":0.00002209655,"domain_scores_codex":[0.9991753,0.000020955,0.0002850298,0.00008253446,0.0001711961,0.0002649762],"domain_scores_gemma":[0.9992796,0.000123906,0.0001095855,0.0001441377,0.00004024619,0.0003025368],"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":[0.00001431411,0.000006254007,0.00008045347,0.00001824938,0.000008989055,0.000009807487,0.0001615134,0.0009595457,0.9978944,0.000109517,0.00009003987,0.0006468936],"study_design_scores_gemma":[0.0002252683,0.00008606383,0.00004078824,0.0001250325,0.00001971214,0.00007618598,0.000003509463,0.006383508,0.9926506,0.00001017769,0.0002785877,0.0001005398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914,0.006390119,0.00003508385,0.001628326,0.0001751224,0.00003941062,0.00001693122,0.000008749242,0.0003062297],"genre_scores_gemma":[0.9993619,0.000005701028,0.0002838073,0.000178988,0.000107689,9.398173e-7,3.774741e-7,0.00001548118,0.00004511459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007961874,"threshold_uncertainty_score":0.3449884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008908685074055926,"score_gpt":0.1737635222316471,"score_spread":0.1648548371575912,"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."}}