{"id":"W4239114024","doi":"10.1002/pen.20571","title":"Preface","year":2006,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001840036,0.00008257696,0.00007519578,0.00006995968,0.0001565608,0.0001485493,0.0001855617,0.00001644163,0.00003378154],"category_scores_gemma":[0.000008346798,0.00006518252,0.00001271516,0.0001971596,0.0001845185,0.000243236,0.00007097593,0.00003599445,0.00003208615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001098307,"about_ca_system_score_gemma":0.00002543283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003032874,"about_ca_topic_score_gemma":0.000001381075,"domain_scores_codex":[0.9992219,0.000004191784,0.00009517742,0.0002094102,0.0001778724,0.0002914672],"domain_scores_gemma":[0.9997534,0.00001667351,0.0000166201,0.0001283495,0.00001475561,0.00007025469],"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":[0.000001326693,0.000005372592,0.0002975722,0.000005382822,2.748842e-7,8.527128e-7,0.00004313277,0.0002494635,0.9965367,0.002301005,0.00002562137,0.0005333484],"study_design_scores_gemma":[0.00005832742,0.00001537466,0.003196145,0.00001039495,0.000002400903,0.00001571459,0.000004657614,0.005025287,0.9904385,0.00002483311,0.001097399,0.0001110296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926232,0.004643072,0.0005513853,0.0001114879,0.0002379287,0.00003325713,0.000002663364,0.0001202321,0.001676844],"genre_scores_gemma":[0.9982534,0.000006905214,0.0007522375,0.00003053934,0.00006409873,0.000004583399,2.529197e-7,0.000005927418,0.000882022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006098211,"threshold_uncertainty_score":0.2658066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004856315925328833,"score_gpt":0.1830463943688591,"score_spread":0.1781900784435302,"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."}}