{"id":"W3108734806","doi":"10.1109/svr51698.2020.00033","title":"Proxy Haptics for Surgical Training","year":2020,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Haptic technology; Computer science; Training (meteorology); Human–computer interaction; Simulation","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":[0.0005464944,0.0005237752,0.0003458127,0.0003719983,0.0002520781,0.0009931845,0.0008470123,0.0009744425,0.009921975],"category_scores_gemma":[0.00205339,0.0001995782,0.0003712805,0.0002467,0.0007227072,0.001378252,0.001242376,0.0006521714,0.001380886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001893294,"about_ca_system_score_gemma":0.0002289354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002131977,"about_ca_topic_score_gemma":0.0001906544,"domain_scores_codex":[0.99942,0.0001597941,0.00003341137,0.00005643121,0.0002948114,0.00003558695],"domain_scores_gemma":[0.9992255,0.0003745796,0.00009080566,0.0001520948,0.00009562394,0.00006140528],"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":[0.0007258259,0.0001440083,0.0007790399,0.001810552,0.00005671613,0.0009027331,0.0005708532,0.01410336,0.2526881,0.08408181,0.009011216,0.6351258],"study_design_scores_gemma":[0.0005082218,0.004119741,0.004069842,0.0009684337,0.0002599404,0.0136678,0.0005261283,0.2142639,0.1717973,0.07422181,0.5151848,0.0004119778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02150111,0.009494887,0.9447099,0.001082033,0.0009528055,0.0001381313,0.00008295317,0.002044985,0.01999315],"genre_scores_gemma":[0.599429,0.007538249,0.3706433,0.00118653,0.0007652984,0.0001786576,0.0001578761,0.0002927734,0.01980831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009921975,"threshold_uncertainty_score":0.03319228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06222437224611087,"score_gpt":0.2393138251214798,"score_spread":0.1770894528753689,"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."}}