{"id":"W4392091731","doi":"","title":"Soft microelectromechanical systems and artificial muscles based on electronically conducting polymers","year":2020,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Artificial muscle; Microelectromechanical systems; Computer science; Polymer; Artificial intelligence; Mechanical engineering; Electrical engineering; Materials science; Engineering; Nanotechnology; Actuator; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001394401,0.000311187,0.0002293444,0.0002048682,0.0001714953,0.0006625342,0.0002573149,0.0005761763,0.00950454],"category_scores_gemma":[0.0001641205,0.00009659064,0.0001565578,0.0001581214,0.0003754409,0.0004947709,0.0002850784,0.0002828203,0.001229365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368299,"about_ca_system_score_gemma":0.00007586547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006955599,"about_ca_topic_score_gemma":0.0001390221,"domain_scores_codex":[0.999947,0.000006724971,0.000002132072,0.0000151987,0.00001870691,0.000010297],"domain_scores_gemma":[0.999933,0.00002846581,0.00001243595,0.000004135143,0.000009265791,0.00001275481],"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":[0.0001427983,0.00008915539,0.0001406016,0.0004807426,0.00001289362,0.0002359666,0.0001005371,0.001720948,0.9340823,0.02741596,0.001857446,0.03372071],"study_design_scores_gemma":[0.000096121,0.001353249,0.004380959,0.0001800734,0.00005564511,0.001016172,0.0003063106,0.01992751,0.7915602,0.01838411,0.1626737,0.00006596151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7257521,0.04453294,0.06280442,0.003155573,0.002458105,0.0001657809,0.0002309078,0.0004579356,0.1604423],"genre_scores_gemma":[0.809429,0.01997048,0.01789081,0.0005721808,0.0007005751,0.0001134708,0.0001494125,0.00007194919,0.1511022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00950454,"threshold_uncertainty_score":0.0317958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002579345381904,"score_gpt":0.2076646046965795,"score_spread":0.1876388112427605,"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."}}