{"id":"W1987195442","doi":"10.1117/12.2084220","title":"Poly(vinylidene fluoride)/graphene nano-platelets electrically conductive composite foam for thermoelectric applications","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Composite material; Thermoelectric effect; Composite number; Graphene; Thermal conductivity; Polymer; Casting; Polyvinylidene fluoride; Nanotechnology","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":[0.0008853559,0.0004077482,0.0006189308,0.0001485046,0.0001638337,0.0001781588,0.001175543,0.0002155679,0.00002054404],"category_scores_gemma":[0.0004573429,0.0003310039,0.0004966322,0.0006193327,0.0002108292,0.0006336519,0.0001325903,0.0001990325,0.000005350752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231317,"about_ca_system_score_gemma":0.00009576967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001879161,"about_ca_topic_score_gemma":1.861414e-7,"domain_scores_codex":[0.9971914,5.691447e-8,0.0008679101,0.0005821062,0.0007273272,0.0006311696],"domain_scores_gemma":[0.9959468,0.0002805382,0.0006741067,0.00009545954,0.002780288,0.0002228454],"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":[0.00024717,0.0001198578,0.00003028374,0.0001888022,0.000164204,5.586514e-8,0.00009792301,0.00003653335,0.7495589,0.2479671,0.0009394228,0.0006498048],"study_design_scores_gemma":[0.001380243,0.0005566487,0.0001031385,0.00008080795,0.0001566014,0.00002515384,0.0002722449,0.003689298,0.9742876,0.01379162,0.005247694,0.0004089118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936572,0.0008787314,0.001365224,0.0008003114,0.000287141,0.001380433,0.0001139353,0.0001557581,0.001361259],"genre_scores_gemma":[0.8178071,0.0001233648,0.1797102,0.000188396,0.0006690601,0.001127484,0.00002441046,0.0001028115,0.0002471165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2341754,"threshold_uncertainty_score":0.9999142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370995826822987,"score_gpt":0.2441078253686761,"score_spread":0.2303978671004463,"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."}}