{"id":"W4388931329","doi":"10.3389/frobt.2023.1286282","title":"Enhancing skill learning with dual-user haptic feedback: insights from a task-specific approach","year":2023,"lang":"en","type":"article","venue":"Frontiers in Robotics and AI","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Haptic technology; Task (project management); Computer science; Context (archaeology); Orientation (vector space); Dreyfus model of skill acquisition; Learning curve; Virtual reality; Human–computer interaction; Artificial intelligence","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":[0.0001066044,0.0001477732,0.0003248245,0.000194104,0.000105869,0.00004910839,0.00003503782,0.00009630495,0.00001908781],"category_scores_gemma":[0.00003707206,0.0001150432,0.00003741945,0.0004609173,0.00006935708,0.0000729734,0.00003340271,0.0003639368,0.0000153287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003414223,"about_ca_system_score_gemma":0.00002564621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001293556,"about_ca_topic_score_gemma":0.000005461198,"domain_scores_codex":[0.9989691,0.00003831597,0.0002166214,0.0003133802,0.0002150284,0.0002475029],"domain_scores_gemma":[0.9995784,0.00007367921,0.00004780945,0.0001271782,0.00003617069,0.0001367844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001032218,0.0005134074,0.4581643,0.000253857,0.0005592467,0.00119463,0.01858839,0.4807349,0.0008762195,0.005829494,0.004475385,0.02777794],"study_design_scores_gemma":[0.01254439,0.0003623214,0.1932982,0.0007486313,0.0001446651,0.0000230306,0.012776,0.7281884,0.0001344952,0.001481846,0.04957689,0.000721129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7687662,0.001528515,0.221205,0.0006799081,0.000748545,0.0004488539,0.000002600385,0.000282645,0.006337775],"genre_scores_gemma":[0.9717659,0.0001603083,0.02639972,0.0002297207,0.0001263766,0.000006507878,0.00008561237,0.00003069293,0.001195177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2648661,"threshold_uncertainty_score":0.4691325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420303661828715,"score_gpt":0.2356721263810105,"score_spread":0.2214690897627233,"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."}}