{"id":"W2089296391","doi":"10.1002/app.30177","title":"Multiple percolation in a carbon‐filled polymer composites via foaming","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Composite material; Carbon black; Composite number; Percolation (cognitive psychology); Percolation threshold; Electrical resistivity and conductivity; Conductivity; Electrical conductor; Polymer; Fiber; Carbon fibers; Copolymer; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000125696,0.0002795031,0.0002029417,0.0002738619,0.0002098991,0.0002074805,0.0001346145,0.0002701364,0.0008742803],"category_scores_gemma":[0.0003060837,0.0001763193,0.0002122596,0.0001104097,0.0003316822,0.0004732386,0.0002451298,0.0002926906,0.0001178326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521707,"about_ca_system_score_gemma":0.00009439544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002471959,"about_ca_topic_score_gemma":0.0004251267,"domain_scores_codex":[0.9998719,0.00001703065,0.000004921732,0.00002913419,0.00004553893,0.00003151527],"domain_scores_gemma":[0.9997315,0.0001394292,0.00004157909,0.00001804088,0.00003224918,0.00003719158],"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":[0.0000421223,0.00001254774,0.0001889824,0.00003570165,0.000004126653,0.0001409513,0.00002846859,0.0002364435,0.9974208,0.00007690434,0.00001826833,0.0017947],"study_design_scores_gemma":[0.000005475201,0.00009916574,0.0008542394,0.000003901053,0.000007012713,0.0002029743,0.00001030766,0.00207215,0.9962179,0.00009341603,0.0004296341,0.000003847053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944785,0.0004875103,0.004287702,0.00003162596,0.00001318429,0.00001229607,0.0000283272,0.0001131884,0.0005478291],"genre_scores_gemma":[0.9980435,0.00008437534,0.001580785,0.0000085232,0.000003384909,0.000004528662,0.0000186028,0.000009369506,0.0002468683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008742803,"threshold_uncertainty_score":0.00292474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006753516928395632,"score_gpt":0.2268281203283636,"score_spread":0.220074603399968,"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."}}