{"id":"W4367041933","doi":"10.1021/acsapm.3c00037","title":"Highly Conductive Cellulose Strain Sensor with Excellent Negative Resistance Variation and Joule Heating Property","year":2023,"lang":"en","type":"article","venue":"ACS Applied Polymer Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology; Canada First Research Excellence Fund; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Materials science; Composite material; Strain (injury); Cellulose; Joule heating; Conductivity; Electrical conductor; Electrical resistance and conductance; Coating; Electrical resistivity and conductivity; Thermal stability; Yarn; Heating element; Chemical engineering; Electrical engineering; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0002148611,0.000294878,0.0003715134,0.00008474352,0.0001381201,0.00013477,0.00008561838,0.00009921539,0.00007698534],"category_scores_gemma":[0.00001878326,0.0002160467,0.00001206448,0.0002103213,0.00008298752,0.0001618005,0.00004298845,0.00007341611,0.0000540299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004254015,"about_ca_system_score_gemma":0.00001559177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001053583,"about_ca_topic_score_gemma":0.00001073998,"domain_scores_codex":[0.9986669,0.00005956117,0.0003529846,0.000348712,0.0001742206,0.0003976569],"domain_scores_gemma":[0.9994575,0.0001030816,0.0001026635,0.0002162433,0.00003565171,0.00008483401],"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":[0.0001023948,0.000008007251,0.000004549276,0.0001542355,0.00005185405,0.00001067188,0.001550716,0.002016624,0.9939872,0.001788998,0.0001534609,0.0001712712],"study_design_scores_gemma":[0.0005531272,0.00002682411,0.0008264275,0.00005970007,0.00002852172,0.000004382884,0.0003509634,0.00004707463,0.9967921,0.0007426445,0.0002221678,0.000346041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953805,0.00005586321,0.0002369312,0.0000707279,0.0003090617,0.0003519711,0.0001768059,0.0006783838,0.002739807],"genre_scores_gemma":[0.9948841,0.00004426778,0.002120062,0.00004437752,0.0001805306,0.0001344566,0.00008473425,0.00009506909,0.002412381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002804909,"threshold_uncertainty_score":0.8810128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369452049521515,"score_gpt":0.2064667700247501,"score_spread":0.1927722495295349,"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."}}