{"id":"W4283793540","doi":"10.1016/j.carbpol.2022.119809","title":"Highly ordered asymmetric cellulose-based honeycomb membrane for moisture-electricity generation and humidity sensing","year":2022,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Materials science; Honeycomb; Membrane; Moisture; Cellulose; Chemical engineering; Porosity; Humidity; Composite material; Nanotechnology; Chemistry; Meteorology","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":[0.00008757838,0.0001998164,0.0001340249,0.0001328457,0.0001139629,0.0002629301,0.0002278266,0.00032214,0.0006894729],"category_scores_gemma":[0.000132754,0.00009899712,0.0001358313,0.0001560475,0.0001082869,0.0003363855,0.0001924235,0.0003399715,0.0003558974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772467,"about_ca_system_score_gemma":0.0001348596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002503686,"about_ca_topic_score_gemma":0.0008482412,"domain_scores_codex":[0.9999362,0.000008019933,0.000004505713,0.00001291775,0.00002190225,0.00001637862],"domain_scores_gemma":[0.9999399,0.00001114381,0.0000129094,0.000006902953,0.00001410701,0.00001510248],"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":[0.00002730777,0.00001619366,0.00006721109,0.000042962,0.000004338644,0.0000527318,0.000007961889,0.0001580768,0.9963869,0.0003221158,0.0001332714,0.002780926],"study_design_scores_gemma":[0.000006478403,0.00004336602,0.0004663289,0.000002554013,0.000003799847,0.00005110341,0.00001206993,0.002967301,0.9951379,0.00006299395,0.001240803,0.00000538286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820801,0.001335007,0.01226716,0.0002043826,0.0001266921,0.00002746027,0.0002451151,0.000178348,0.003535719],"genre_scores_gemma":[0.9892858,0.0005469566,0.007677953,0.00006979032,0.00001761526,0.00001895879,0.0001603495,0.00001519303,0.002207404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006894729,"threshold_uncertainty_score":0.002306521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685208983946464,"score_gpt":0.2146869128728688,"score_spread":0.1978348230334042,"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."}}