{"id":"W4405185751","doi":"10.3390/act13120507","title":"Beyond Human Touch: Integrating Soft Robotics with Environmental Interaction for Advanced Applications","year":2024,"lang":"en","type":"article","venue":"Actuators","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Soft robotics; Robotics; Artificial intelligence; Human–computer interaction; Computer science; Engineering; Cognitive science; Robot; Psychology","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":[0.0005520355,0.0007226514,0.0005312792,0.0005385628,0.0007162713,0.001893639,0.0007963516,0.001337281,0.007187204],"category_scores_gemma":[0.0009753533,0.0003333817,0.0005188054,0.0003238737,0.001564161,0.002644899,0.002890863,0.0009822419,0.00194661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873829,"about_ca_system_score_gemma":0.0004989849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002513286,"about_ca_topic_score_gemma":0.0005305561,"domain_scores_codex":[0.9993599,0.0001781038,0.00002815454,0.00006868989,0.0003037187,0.00006147454],"domain_scores_gemma":[0.9993739,0.0003248121,0.0000456467,0.00007852181,0.0001082521,0.00006891966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002523019,0.0002797459,0.001173128,0.002840434,0.0000787996,0.001113491,0.001538846,0.0132373,0.2949455,0.08468294,0.005465692,0.5943918],"study_design_scores_gemma":[0.00008484041,0.002446542,0.005360609,0.00173965,0.0001980877,0.005540587,0.001915722,0.1203267,0.1640429,0.176919,0.521019,0.0004063919],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04611808,0.02609816,0.8345019,0.002821776,0.0008429021,0.0002088889,0.0000507271,0.001569824,0.08778768],"genre_scores_gemma":[0.6291416,0.0215475,0.3080119,0.001919877,0.0006515708,0.0003791264,0.0001014682,0.0003826061,0.03786437],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007187204,"threshold_uncertainty_score":0.02404362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007289644381186154,"score_gpt":0.2421803184493508,"score_spread":0.2348906740681647,"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."}}