{"id":"W2998902621","doi":"10.1002/adfm.202070012","title":"Stimuli‐Responsive Actuation: Harnessing the Power of Stimuli‐Responsive Polymers for Actuation (Adv. Funct. Mater. 2/2020)","year":2020,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Actuator; Nanotechnology; Smart material; Power (physics); Polymer; Electrical engineering; Engineering; Composite material; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002972771,0.0004340501,0.0005709174,0.00008945138,0.0002631853,0.0001130282,0.0002288701,0.0001555858,0.001475636],"category_scores_gemma":[0.001080592,0.0003621205,0.0001292019,0.0002798871,0.0001260639,0.0006365356,0.00005066243,0.0001101735,0.00007269667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000907607,"about_ca_system_score_gemma":0.00007557536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005075276,"about_ca_topic_score_gemma":0.000001321273,"domain_scores_codex":[0.9978144,0.0001100488,0.0007992626,0.0004488796,0.0003792419,0.000448236],"domain_scores_gemma":[0.9978852,0.0009893858,0.0003142092,0.0003289894,0.0003369795,0.0001452645],"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":[0.001890709,0.00001347217,0.000003340006,0.0001187469,0.00008859947,0.000003497361,0.0004103934,0.238529,0.7564731,0.0005705327,0.0004788156,0.001419775],"study_design_scores_gemma":[0.00162114,0.0002857487,0.001946154,0.0001053039,0.0001063729,0.00001749349,0.0006397604,0.001493588,0.9857676,0.001590501,0.005897847,0.0005284722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8992558,0.0002240183,0.09369019,0.001113641,0.003472271,0.0008231341,0.0006829969,0.0004677747,0.0002701996],"genre_scores_gemma":[0.993539,0.00004316114,0.004244677,0.0006769122,0.0005938106,0.0001986193,0.000354035,0.0001196014,0.000230202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2370354,"threshold_uncertainty_score":0.9998831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619843062531467,"score_gpt":0.2534336955854454,"score_spread":0.2272352649601307,"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."}}