{"id":"W4310592779","doi":"10.1039/d2sm01175a","title":"Electronic whiskers for velocity sensing based on the liquid metal hysteresis effect","year":2022,"lang":"en","type":"article","venue":"Soft Matter","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Whisker; Liquid metal; Materials science; Airflow; Electronics; Nanotechnology; Mechanical engineering; Computer science; Composite material; Electrical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000290228,0.0001449147,0.0001560006,0.00003970747,0.0002233389,0.00002726494,0.0001026983,0.00002335133,0.0003258744],"category_scores_gemma":[0.00003904458,0.000112782,0.00008620379,0.00007322032,0.00001610318,0.00003626137,0.00002453852,0.000137007,0.00004536852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125622,"about_ca_system_score_gemma":0.000008916306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006895594,"about_ca_topic_score_gemma":0.000002458827,"domain_scores_codex":[0.9991799,0.0001028654,0.0001210921,0.0001485193,0.0001176467,0.0003299948],"domain_scores_gemma":[0.9993222,0.0004140246,0.00002488765,0.0002054045,0.000009223507,0.00002424309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003248165,0.00001274295,0.00002745404,0.0001486965,0.00008887021,0.000006455132,0.000108994,0.810903,0.1797912,0.0001120114,0.007589339,0.000886426],"study_design_scores_gemma":[0.001594751,0.001145012,0.0003792639,0.00006940642,0.000168787,0.00003374549,0.00008736796,0.2538231,0.670256,0.0007719048,0.07062157,0.001049054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801389,0.00002393398,0.0171677,0.0005235512,0.0005045706,0.0002718768,0.00002871519,0.0002864133,0.001054333],"genre_scores_gemma":[0.9980982,3.394397e-7,0.0002751076,0.001166636,0.00008363846,0.00007086472,0.00001745917,0.00005817749,0.0002295799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5570799,"threshold_uncertainty_score":0.4599118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007878683811604286,"score_gpt":0.2039027988522065,"score_spread":0.1960241150406022,"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."}}