{"id":"W7070628946","doi":"","title":"Polyolefin Nanocomposites with Improved Performance","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polyolefin; Nanocomposite; Composite number; Compounding; Polyethylene","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":[0.0003190268,0.0003424276,0.0003306195,0.0003808542,0.0003388706,0.0006315952,0.000332918,0.000825004,0.01267446],"category_scores_gemma":[0.0007292468,0.0002134046,0.0001989119,0.000282005,0.0001787089,0.0008707992,0.0003044281,0.0004670346,0.002932264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002539069,"about_ca_system_score_gemma":0.0002153297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003555537,"about_ca_topic_score_gemma":0.001027689,"domain_scores_codex":[0.999683,0.00002768738,0.00001493781,0.00006802088,0.000140804,0.00006552168],"domain_scores_gemma":[0.9995247,0.00007594872,0.00005151012,0.00003394736,0.0002401694,0.00007376395],"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":[0.0003994885,0.00007988604,0.0001740469,0.000127498,0.000009910714,0.00006715502,0.00002707766,0.0001148375,0.9858084,0.0002497197,0.001153461,0.01178856],"study_design_scores_gemma":[0.00002535162,0.0001688445,0.0005847241,0.000004922357,0.00001680415,0.00006095543,0.00001280364,0.0006601088,0.9933811,0.00004422899,0.005032592,0.000007507888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540877,0.003141231,0.007296104,0.001120609,0.0008049073,0.0001034782,0.0002570476,0.001133719,0.03205528],"genre_scores_gemma":[0.9307433,0.0008041943,0.006707224,0.0002927095,0.0001207068,0.00003218262,0.000320917,0.0002816348,0.06069713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01267446,"threshold_uncertainty_score":0.04240024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006355921994219319,"score_gpt":0.197251448459163,"score_spread":0.1908955264649437,"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."}}