{"id":"W1996065253","doi":"10.1002/app.21597","title":"Compounding of nanocomposites by thermokinetic mixing","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compounding; Masterbatch; Organoclay; Nanocomposite; Mixing (physics); Materials science; Plastics extrusion; Composite material; Rheology; Extrusion; Dispersion (optics); Montmorillonite","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004003017,0.0004932788,0.0005395089,0.0005555075,0.0002440701,0.0004137207,0.0002210574,0.0002699371,0.00148195],"category_scores_gemma":[0.0005853084,0.000329461,0.0003556979,0.0002658589,0.000247285,0.0004536629,0.0003418441,0.0008013239,0.0003508832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003199052,"about_ca_system_score_gemma":0.0002004365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002020978,"about_ca_topic_score_gemma":0.0004908396,"domain_scores_codex":[0.9996998,0.00003145784,0.00003310516,0.00008567225,0.0001066595,0.0000432272],"domain_scores_gemma":[0.999694,0.00009104555,0.00009178581,0.00004047557,0.00004901025,0.00003371221],"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":[0.00003195742,0.00001082798,0.00002686899,0.00003210477,0.000003983517,0.00001573249,0.00001580043,0.00009642024,0.9984109,0.00008959371,0.00001368006,0.001252082],"study_design_scores_gemma":[0.000006227586,0.00004989779,0.0001120922,0.000001564074,0.000004657615,0.00002411305,0.000002604252,0.0004709655,0.9988249,0.00001351263,0.0004876667,0.000001880397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638687,0.0012268,0.03141124,0.00006395393,0.00006205755,0.0001703798,0.0001249536,0.0003574999,0.002714443],"genre_scores_gemma":[0.9635739,0.0007085078,0.03251744,0.00002449417,0.00002425271,0.0001043132,0.0001974933,0.0001460284,0.002703541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00148195,"threshold_uncertainty_score":0.004957616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007512869988227307,"score_gpt":0.2250752216548817,"score_spread":0.2175623516666544,"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."}}