{"id":"W167327212","doi":"10.1016/b978-0-08-098258-8.00020-1","title":"Introduction to Clay–Polymer Nanocomposites (CPN)","year":2013,"lang":"en","type":"book-chapter","venue":"Developments in clay science","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nanocomposite; Clay minerals; Polymer; Materials science; Polymer nanocomposite; Polymer clay; Mineral; Composite material; Chemical engineering; Polymer science; Mineralogy; Chemistry; Metallurgy; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008968172,0.0005581331,0.0005417786,0.000874651,0.0004636065,0.0005353191,0.00165867,0.0002509755,0.004003973],"category_scores_gemma":[0.00005294667,0.0004805258,0.00006871187,0.0004154134,0.0007045498,0.001027379,0.0008069964,0.0003294921,0.01033283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005295657,"about_ca_system_score_gemma":0.0006451171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001162644,"about_ca_topic_score_gemma":0.00001758242,"domain_scores_codex":[0.9955772,0.00003049098,0.0008028636,0.0014743,0.001179722,0.0009354128],"domain_scores_gemma":[0.9984071,0.0000514762,0.0002568638,0.0007198443,0.0002269993,0.0003377737],"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":[0.00002812334,0.00002572368,0.00008484117,0.0000274352,0.000007249166,0.00000902682,0.0005936468,0.00001971033,0.9737345,0.007905771,0.004799361,0.01276461],"study_design_scores_gemma":[0.0001527467,0.00006645095,0.0003866932,0.000219275,0.000008246275,0.00002298807,0.000008738669,0.00001180347,0.74742,0.0006251861,0.2503796,0.0006983294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1131373,0.002430214,0.0001715661,0.002648033,0.008561047,0.002114402,0.00005704569,0.0003401544,0.8705403],"genre_scores_gemma":[0.08543009,0.0001496513,0.01608357,0.001897824,0.00101909,0.000168463,0.00002955259,0.0001125755,0.8951092],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2455802,"threshold_uncertainty_score":0.9997646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732910882862974,"score_gpt":0.2412443434476789,"score_spread":0.2239152346190492,"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."}}