{"id":"W4313592635","doi":"10.1039/d2mh01491b","title":"Intelligent matter endows reconfigurable temperature and humidity sensations for in-sensor computing","year":2023,"lang":"en","type":"article","venue":"Materials Horizons","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Basic Research Program of Jiangsu Province; Nanjing University of Posts and Telecommunications; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Humidity; Materials science; Computer science; Meteorology; Physics","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":[0.00007608347,0.0001899203,0.0002077634,0.0001398594,0.0002311628,0.000516738,0.0003794773,0.0004935885,0.002273906],"category_scores_gemma":[0.0001546004,0.0001233536,0.0001791892,0.0001293052,0.0002987632,0.000747729,0.0004266209,0.0002873029,0.0005860335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001222846,"about_ca_system_score_gemma":0.0001044075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005643461,"about_ca_topic_score_gemma":0.0001772929,"domain_scores_codex":[0.9999487,0.000004876714,0.000002877056,0.00001272379,0.00001836916,0.00001249557],"domain_scores_gemma":[0.999931,0.00001370977,0.00001435444,0.00001449351,0.00001157788,0.00001492036],"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":[0.00007518289,0.00004878872,0.0002454282,0.0001992149,0.00001594803,0.0002545144,0.00007770109,0.001885475,0.9639803,0.01315987,0.001053587,0.01900395],"study_design_scores_gemma":[0.00002938516,0.0004765569,0.001637695,0.00002743505,0.00004747201,0.0007324415,0.0001231281,0.04950894,0.9089069,0.007665348,0.0307972,0.00004754604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8232668,0.002603292,0.1270586,0.0008916758,0.0008348112,0.00007809949,0.0001893962,0.001298785,0.04377859],"genre_scores_gemma":[0.9718876,0.0004473471,0.02237555,0.0001795425,0.00005802231,0.00002545347,0.0000443235,0.00004555701,0.004936532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002273906,"threshold_uncertainty_score":0.007606983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480375132359983,"score_gpt":0.2570596928626606,"score_spread":0.2322559415390608,"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."}}