{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048067,0.0002230025,0.000399087,0.0006414053,0.0002279892,0.0002029845,0.0008854,0.00007104821,0.00003458592],"category_scores_gemma":[0.00002018801,0.0001897429,0.00008688859,0.001025956,0.000310888,0.0005434435,0.0000811811,0.0002560649,0.00001616555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001364428,"about_ca_system_score_gemma":0.0002447464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001127933,"about_ca_topic_score_gemma":0.00001075594,"domain_scores_codex":[0.9974098,0.00004457356,0.0007194441,0.0003534321,0.0008845724,0.000588213],"domain_scores_gemma":[0.9987419,0.0001447182,0.0004770131,0.0002957174,0.0001078945,0.0002327617],"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":[0.0001388399,0.0001312769,0.001271456,0.000003180617,0.000002918302,0.00001408477,0.001176261,0.00003286921,0.9871144,0.0004898775,0.000007312702,0.009617526],"study_design_scores_gemma":[0.000796016,0.0001731255,0.008339064,0.00005450854,0.00001671331,0.0001009216,0.0001706038,0.004230665,0.985617,0.0002611389,0.0000115058,0.0002286667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919162,0.003403782,0.0003176149,0.000316451,0.0004076766,0.0001009097,0.000001418173,0.00003496658,0.003500927],"genre_scores_gemma":[0.9981628,0.000006953204,0.001235453,0.0003706452,0.0001581112,0.000003159981,4.665875e-7,0.0000110164,0.00005137114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009388859,"threshold_uncertainty_score":0.7737489,"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."}}