{"id":"W2952290599","doi":"10.1002/adfm.201902971","title":"Gradually Crosslinking Carbon Nanotube Array in Mimicking the Beak of Giant Squid for Compression‐Sensing Supercapacitor","year":2019,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China; Ministry of Science and Technology of the People's Republic of China; Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"Materials science; Supercapacitor; Carbon nanotube; Capacitance; Squid; Compression (physics); Nanotechnology; Electronics; Composite material; Strain (injury); Optoelectronics; Electrode; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005061319,0.0002139547,0.00007717046,0.0001114739,0.00009267291,0.0001360991,0.0001174534,0.000235595,0.0005429449],"category_scores_gemma":[0.0001010862,0.00009067538,0.00009550413,0.00007479479,0.0001760562,0.000182369,0.0001038811,0.0001546645,0.00009948297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340654,"about_ca_system_score_gemma":0.0001019985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005642045,"about_ca_topic_score_gemma":0.00118705,"domain_scores_codex":[0.9999543,0.000005682879,0.000003120296,0.00001214689,0.00001731722,0.00000739449],"domain_scores_gemma":[0.999931,0.000009462934,0.00001991856,0.000008115734,0.00001437356,0.00001707573],"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":[0.000008892522,0.000003389966,0.00004159953,0.000008352755,0.000001310918,0.00001563706,0.00000444488,0.0001253243,0.9992866,0.00005620815,0.00001413526,0.0004341613],"study_design_scores_gemma":[0.000005328141,0.0001384268,0.0007892759,0.00000245294,0.000005148588,0.00006847084,0.00001272479,0.002896289,0.9947812,0.0000419325,0.00125231,0.000006466207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939839,0.0002695385,0.004039804,0.00005991314,0.00004082535,0.00001801633,0.00005336113,0.00006733261,0.001467126],"genre_scores_gemma":[0.9959999,0.000103272,0.002890036,0.00002574804,0.000004959448,0.00001278486,0.00003700487,0.000007371382,0.0009189648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005642045,"threshold_uncertainty_score":0.001816332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421205676210514,"score_gpt":0.2157058855239965,"score_spread":0.2014938287618914,"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."}}