{"id":"W2974880751","doi":"10.1002/admt.201900570","title":"Humanoid Robot Actuation through Precise Chemical Sensing Signals","year":2019,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Humanoid robot; Robot; Computer science; Smart material; Acoustics; Artificial intelligence; Simulation; Materials science; Nanotechnology; 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":[0.0001113166,0.0003428691,0.0001738479,0.0001212443,0.0001307638,0.0002287462,0.0002763945,0.0003943539,0.002457808],"category_scores_gemma":[0.0002022158,0.0001291485,0.0001386546,0.00007680756,0.0003689301,0.0002293886,0.0003053236,0.0001991601,0.0005309873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255447,"about_ca_system_score_gemma":0.0002018935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002700244,"about_ca_topic_score_gemma":0.0003500413,"domain_scores_codex":[0.9999061,0.00001096444,0.00000618744,0.00003315818,0.0000312302,0.00001241318],"domain_scores_gemma":[0.9999005,0.00002076178,0.00003358884,0.00001400422,0.00001651999,0.00001456809],"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":[0.00003732018,0.000007607855,0.00009679436,0.00004801118,0.000002642746,0.0001176018,0.00003611939,0.0004876514,0.992534,0.000270867,0.0001417881,0.006219559],"study_design_scores_gemma":[0.00003495175,0.0006920275,0.002729042,0.00002068701,0.0000131444,0.0006060159,0.00008649577,0.01065552,0.9703758,0.0006011829,0.01415068,0.00003440512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8241283,0.001803107,0.1555093,0.0003236854,0.0002672359,0.0001938576,0.000255451,0.001050832,0.0164682],"genre_scores_gemma":[0.9478692,0.0003551861,0.04500251,0.0001219318,0.00001162765,0.00006345892,0.00006517075,0.00001530253,0.006495641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002457808,"threshold_uncertainty_score":0.008222163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152246255787517,"score_gpt":0.2285355892536635,"score_spread":0.2170131266957883,"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."}}