{"id":"W1981927657","doi":"10.1145/1731903.1731922","title":"The Haptic Tabletop Puck","year":2009,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Computer science; Human–computer interaction; Computer graphics (images); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003527015,0.0005973539,0.0004713455,0.0005045136,0.0004875131,0.001258226,0.001068419,0.0009249507,0.0195118],"category_scores_gemma":[0.001987271,0.0003249426,0.0003061138,0.0004121863,0.000640486,0.001688594,0.00170103,0.0005821277,0.002086628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501429,"about_ca_system_score_gemma":0.0003063561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006041198,"about_ca_topic_score_gemma":0.0004774682,"domain_scores_codex":[0.9995396,0.00007013095,0.00002362455,0.0000905639,0.0002266211,0.00004943541],"domain_scores_gemma":[0.9993788,0.0002957677,0.00003623889,0.0001237657,0.00009044455,0.00007493906],"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":[0.001883808,0.0002631512,0.001981586,0.001805654,0.00005792851,0.001909502,0.001163871,0.004337284,0.329583,0.02651556,0.02636723,0.6041315],"study_design_scores_gemma":[0.0006187179,0.005737035,0.02494388,0.0008925283,0.0002559846,0.01497406,0.001368748,0.08274541,0.2100134,0.01509561,0.6427639,0.0005907404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1916735,0.005766202,0.6769099,0.001476688,0.001323761,0.001733829,0.001767439,0.01043201,0.1089167],"genre_scores_gemma":[0.68979,0.001830421,0.2670097,0.0005785021,0.0001517834,0.0006497536,0.0005425886,0.0003166388,0.03913061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0195118,"threshold_uncertainty_score":0.06527346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777947547502715,"score_gpt":0.2894389304017088,"score_spread":0.2516594549266817,"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."}}