{"id":"W2051140862","doi":"10.1177/154193120605000513","title":"The Range of Tactile & Haptic Interaction Techniques","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Haptic technology; Computer science; Set (abstract data type); Human–computer interaction; Range (aeronautics); Artificial intelligence; Engineering","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":[0.000963894,0.0006042698,0.0005405176,0.001459217,0.0007588374,0.001809791,0.00116171,0.001215464,0.01185435],"category_scores_gemma":[0.001767938,0.0004080505,0.0008654638,0.00117647,0.0008734991,0.00181642,0.001792551,0.00125105,0.003035117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002213554,"about_ca_system_score_gemma":0.0002139602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001907751,"about_ca_topic_score_gemma":0.0003528735,"domain_scores_codex":[0.9986275,0.0001963025,0.00008685099,0.0002106623,0.0007788187,0.00009983283],"domain_scores_gemma":[0.9987224,0.0007988379,0.00009127153,0.0001242702,0.0001837112,0.00007944629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002481434,0.000138754,0.001099054,0.002224901,0.00007180352,0.0005581491,0.0005000216,0.001357014,0.08228628,0.01463174,0.006323931,0.8905603],"study_design_scores_gemma":[0.0001357377,0.002654128,0.01381283,0.002300333,0.0002437972,0.0196263,0.001230648,0.01890345,0.1081412,0.05261112,0.7798999,0.0004405465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05055208,0.1491254,0.5960876,0.003477881,0.00130448,0.0003561246,0.0003529824,0.003640062,0.1951035],"genre_scores_gemma":[0.4232674,0.08373453,0.4384303,0.002427649,0.001537901,0.0004670434,0.0002860583,0.0003758196,0.04947336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01185435,"threshold_uncertainty_score":0.03965676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661627831630786,"score_gpt":0.2638066153850054,"score_spread":0.2371903370686976,"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."}}