{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002372607,0.0001198341,0.00008214654,0.0000562744,0.0001148481,0.00006426263,0.00007935808,0.00003996162,0.00002467284],"category_scores_gemma":[0.000003115273,0.0001082192,0.00004089205,0.0001058382,0.00002393199,0.0001291786,0.00001135527,0.0001245945,0.00003279783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009676774,"about_ca_system_score_gemma":0.000007610402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001526822,"about_ca_topic_score_gemma":0.00001008642,"domain_scores_codex":[0.9994919,0.000002019771,0.0001383419,0.0001644129,0.00006619594,0.0001370809],"domain_scores_gemma":[0.9996753,0.00009627648,0.00001691313,0.0001571924,0.000007203058,0.00004714384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001054771,0.0001458808,0.0006259171,0.0003131691,0.000319015,0.000002732343,0.001640252,0.317515,0.08713343,0.139154,0.003243793,0.4498963],"study_design_scores_gemma":[0.0009686414,0.0003425741,0.0006188293,0.0002776765,0.0003805941,0.00004484256,0.004027751,0.6767062,0.034566,0.02297954,0.2575042,0.001583167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03677271,0.0001148122,0.9605699,0.00009958527,0.0001440489,0.0005240895,0.00003230126,0.0004451088,0.001297447],"genre_scores_gemma":[0.9755566,0.00001358857,0.02348695,0.00002240025,0.0001211118,0.000521851,0.0001230843,0.00005050447,0.000103902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9387839,"threshold_uncertainty_score":0.4413051,"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."}}