{"id":"W4407197618","doi":"10.1021/acsami.4c15911","title":"Wood Bark-Based Films as Electrical Insulators with Ultralow Dielectric Constant and Loss Factor","year":2025,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs; Canada Foundation for Innovation","keywords":"Materials science; Dielectric; Loss factor; Composite material; Bark (sound); Dielectric loss; Constant (computer programming); Optoelectronics; Acoustics","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":[0.0001282087,0.0004497844,0.0005914202,0.0002497983,0.00009929509,0.0003310696,0.0002540347,0.0001943649,0.0004388689],"category_scores_gemma":[0.00003051469,0.0003573991,0.0000161315,0.0004198054,0.0001018607,0.0001003772,0.00002467644,0.0001578434,0.00004234926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006361457,"about_ca_system_score_gemma":0.00008138445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003294486,"about_ca_topic_score_gemma":0.000003641514,"domain_scores_codex":[0.9983101,0.00003076634,0.0004609496,0.0004188103,0.0001976572,0.0005817328],"domain_scores_gemma":[0.9993849,0.000130706,0.00008259385,0.0002669929,0.00003951055,0.00009526721],"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":[0.0002681412,0.00003646482,0.00005781432,0.0001629138,0.0001403494,0.000009655312,0.00006607891,0.0001364406,0.9932026,0.003910094,0.0002534227,0.001755971],"study_design_scores_gemma":[0.0008437166,0.000172607,0.0002159873,0.00008047403,0.00005495435,0.00000624499,0.00002916097,0.00004171965,0.997089,0.0007833296,0.0002625787,0.0004202111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933676,0.0003805209,0.0003467749,0.00003475907,0.0003511239,0.0004872713,0.0000709505,0.0004294932,0.004531564],"genre_scores_gemma":[0.9990584,0.0002044081,0.0002715918,0.0001623813,0.00004017296,0.0001117922,0.00001873474,0.00005902028,0.00007353052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005690825,"threshold_uncertainty_score":0.9998878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003187873770667039,"score_gpt":0.1916635884737967,"score_spread":0.1884757147031296,"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."}}