{"id":"W3162687916","doi":"10.18280/acsm.450205","title":"Application of Conductive Polymer-Based Hydrogel in Multi-robot Balance Control","year":2021,"lang":"en","type":"article","venue":"Annales de Chimie Science des Matériaux","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Polyaniline; Materials science; Self-healing hydrogels; Electrical conductor; Conductive polymer; Robot; Resistor; Electronics; Polyacrylic acid; Nanotechnology; Flexible electronics; Computer science; Electronic component; Component (thermodynamics); Polymer; Mechanical engineering; Composite material; Polymerization; Electrical engineering; Voltage; Engineering; Polymer chemistry; Physics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008117119,0.0002236355,0.0001509694,0.0002029689,0.0001206861,0.0002173017,0.0002185994,0.0001806605,0.0007693648],"category_scores_gemma":[0.00009600505,0.00008923958,0.0001242815,0.0001336352,0.0001723844,0.0003585896,0.0002470441,0.000116365,0.0001048402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306293,"about_ca_system_score_gemma":0.0001125048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001732477,"about_ca_topic_score_gemma":0.0002326511,"domain_scores_codex":[0.9999461,0.000006121142,0.000004117665,0.0000179342,0.00001731003,0.000008393317],"domain_scores_gemma":[0.999959,0.00001084801,0.00001068618,0.000003710259,0.000008311064,0.000007372246],"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":[0.0001281689,0.00004639402,0.0002677392,0.000240736,0.0000122617,0.0002291513,0.00006315999,0.005193167,0.9289418,0.002246279,0.0003012137,0.06232988],"study_design_scores_gemma":[0.00004825953,0.0008160488,0.001490509,0.00003836439,0.0000418347,0.0005404849,0.00005898778,0.1095669,0.8736907,0.001480792,0.01218106,0.00004607539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5490741,0.01732638,0.4077788,0.0007352149,0.0005037923,0.000112469,0.00009903286,0.001334182,0.02303617],"genre_scores_gemma":[0.9620023,0.001680833,0.03400171,0.00007134894,0.00003553117,0.00002048928,0.0000126882,0.00001768626,0.002157307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007693648,"threshold_uncertainty_score":0.002573848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698799631670983,"score_gpt":0.3118205676697893,"score_spread":0.2648325713530795,"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."}}