{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002367052,0.0004450795,0.0003056478,0.0002057258,0.00009507632,0.0002776725,0.0002821982,0.0004536802,0.0005616053],"category_scores_gemma":[0.0003769207,0.0001815557,0.0002033207,0.0002108977,0.0001874228,0.0004708168,0.0002238362,0.0004384203,0.0002691094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000248113,"about_ca_system_score_gemma":0.0001677364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002696226,"about_ca_topic_score_gemma":0.0006452329,"domain_scores_codex":[0.9998,0.00001957786,0.00001519417,0.00005632113,0.00007939734,0.00002954067],"domain_scores_gemma":[0.9998106,0.00004511276,0.00006375512,0.00001487486,0.00003983439,0.00002578439],"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":[0.00001313174,0.000006102643,0.00008734837,0.00002741935,0.000002353507,0.00003374797,0.000006407486,0.00006113353,0.998136,0.00005189918,0.00002683087,0.001547672],"study_design_scores_gemma":[0.00000369644,0.00005967863,0.0009358387,0.000002168206,0.000005925316,0.000116067,0.000008365899,0.00210364,0.9962575,0.00001866764,0.0004823523,0.000006010808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452332,0.001975491,0.04839371,0.0002486904,0.00009619118,0.00005141712,0.0002023754,0.0004280755,0.003370837],"genre_scores_gemma":[0.9715365,0.0007587146,0.02548312,0.00008717245,0.00002610489,0.00003514895,0.0001207688,0.00002971802,0.001922809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005616053,"threshold_uncertainty_score":0.001878738,"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."}}