{"id":"W7033267470","doi":"","title":"Polypropylene Based Nanocomposites with Synthetic Clay","year":2005,"lang":"en","type":"other","venue":"NPARC","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polypropylene; Nanocomposite; Composite number; Nanoparticle; Rheology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005211532,0.0003296482,0.000240214,0.000437125,0.0003517738,0.0006823111,0.0004066378,0.0004730264,0.01361443],"category_scores_gemma":[0.0009816964,0.0002104642,0.0001670332,0.0003110518,0.0001968843,0.0005031653,0.0005073809,0.0004236525,0.003547282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003091605,"about_ca_system_score_gemma":0.0003408312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000502787,"about_ca_topic_score_gemma":0.001674148,"domain_scores_codex":[0.9995354,0.00004673843,0.00002950042,0.000105739,0.0002313,0.00005122874],"domain_scores_gemma":[0.9994954,0.0001091039,0.00008644451,0.00006568491,0.0001608172,0.00008249647],"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":[0.0002362379,0.00008825602,0.0009090968,0.0002550059,0.00001332641,0.0002568454,0.00007866634,0.0003515127,0.9592765,0.0007216336,0.002533847,0.03527898],"study_design_scores_gemma":[0.00002780818,0.0002799563,0.00383888,0.00001606467,0.00002614897,0.0003582171,0.00005256532,0.002359747,0.9573337,0.0001744651,0.03551592,0.0000164896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8499171,0.001266813,0.01648509,0.0007198867,0.0006945527,0.0004651055,0.0009667048,0.001233762,0.128251],"genre_scores_gemma":[0.8065729,0.0004959248,0.01507291,0.0001254727,0.00005988066,0.0001282571,0.0007167959,0.0002142837,0.1766136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361443,"threshold_uncertainty_score":0.04554474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00520692274003584,"score_gpt":0.2039712467442291,"score_spread":0.1987643240041932,"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."}}