{"id":"W2767821295","doi":"10.1002/slct.201701929","title":"Cobalt Catalyst Grown Carbon Nanotube/Poly(Vinylidene Fluoride) Nanocomposites: Effect of Synthesis Temperature on Morphology, Electrical Conductivity and Electromagnetic Interference Shielding","year":2017,"lang":"en","type":"article","venue":"ChemistrySelect","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Carbon nanotube; Nanocomposite; Crystallinity; Polyvinylidene fluoride; Percolation threshold; Thermogravimetric analysis; Composite material; Cobalt; Dispersion (optics); Chemical engineering; Polymer; Electrical resistivity and conductivity","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000904542,0.0005579228,0.001007554,0.0001110087,0.0004241015,0.0003152221,0.0009550696,0.0003912847,0.0003008354],"category_scores_gemma":[0.002140352,0.0004908524,0.0001227828,0.000175887,0.0006121865,0.0001640155,0.000226943,0.0004503199,0.00001866597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678129,"about_ca_system_score_gemma":0.0001410326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003869112,"about_ca_topic_score_gemma":0.00001413215,"domain_scores_codex":[0.9969162,0.0003181393,0.0005726219,0.001005369,0.0003794443,0.0008082551],"domain_scores_gemma":[0.997104,0.0008395633,0.0005638741,0.001157728,0.0001291487,0.0002056795],"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":[0.0004652054,0.00007391895,0.001180905,0.0002235592,0.00003527699,0.0000289749,0.00003790003,6.616163e-7,0.997391,0.00004620504,0.0001542472,0.0003621497],"study_design_scores_gemma":[0.0006778618,0.001695806,0.003183628,0.0002076507,0.0001434903,0.0002900955,0.000004615088,0.00003062189,0.9932274,0.00008746022,0.000007536334,0.0004437979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971108,0.0006169938,0.000002065973,0.0001846932,0.0002698759,0.0003892623,0.0000350892,0.0001087877,0.001282385],"genre_scores_gemma":[0.9990929,0.00006507926,0.0002083539,0.00003444656,0.0002051361,0.0001203572,0.0000146854,0.00004942929,0.0002096528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00416356,"threshold_uncertainty_score":0.9997543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009392726348299003,"score_gpt":0.2460051054192824,"score_spread":0.2366123790709834,"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."}}