{"id":"W2168081024","doi":"10.1109/have.2005.1545670","title":"A prediction algorithm for haptic collaboration","year":2005,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Haptic technology; Computer science; Human–computer interaction; Virtual reality; Causality (physics); Virtual machine; Object (grammar); 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":[0.00004835148,0.00004396182,0.0000479415,0.00003076691,0.00002919931,0.00003616057,0.00001993491,0.00003338177,0.0001003876],"category_scores_gemma":[0.000004655755,0.00004162319,0.00001409263,0.00005962337,0.00000297761,0.0001287457,0.000001214953,0.00001594464,0.00008294882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004182561,"about_ca_system_score_gemma":0.000007403323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001615073,"about_ca_topic_score_gemma":0.00003749103,"domain_scores_codex":[0.9997158,0.000002852947,0.0001116141,0.00005268125,0.00004959126,0.00006747797],"domain_scores_gemma":[0.9998605,0.00001014556,0.000005730108,0.00005457927,0.00004335261,0.00002568271],"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":[0.000003855218,0.00003722673,0.00006523082,0.00004747519,0.00006460008,2.81307e-7,0.001251479,0.05995823,0.0160176,0.01031641,0.1107545,0.8014831],"study_design_scores_gemma":[0.0002232656,0.00001519642,0.00005172008,0.000002482276,0.000003492336,0.000001817853,0.0001030315,0.8504623,0.001445295,0.00000971236,0.1476409,0.00004085214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002929977,0.00007556909,0.984418,0.0001884772,0.0004616099,0.0002946597,0.0000192575,0.0005351087,0.01107732],"genre_scores_gemma":[0.9250941,0.00001120234,0.07005743,0.00009949565,0.0007834844,0.0001382664,0.00003250789,0.00001853506,0.003765008],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9221641,"threshold_uncertainty_score":0.1697344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196477198135601,"score_gpt":0.2174813477890006,"score_spread":0.2055165758076446,"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."}}