{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001356956,0.00003989108,0.00003103785,0.00001372989,0.0002875373,0.00008570611,0.0001180553,0.00001286242,0.0002904936],"category_scores_gemma":[0.0002049816,0.00002280217,0.00002734875,0.00008248685,0.00002322334,0.0001181644,0.000006486593,0.00008245695,0.0009358514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008957577,"about_ca_system_score_gemma":0.000007543372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007378797,"about_ca_topic_score_gemma":0.000009112716,"domain_scores_codex":[0.9995922,0.00002076727,0.00006748883,0.0001025875,0.00008197867,0.0001349348],"domain_scores_gemma":[0.9995505,0.0002236873,0.00001616361,0.0001706345,0.000009135618,0.0000299073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009078713,0.00003476608,0.00001136308,2.289754e-7,8.099263e-7,0.000009677142,0.00006186629,0.00001255993,0.8766035,0.08944973,0.01986332,0.01394313],"study_design_scores_gemma":[0.00006154368,0.00005063879,0.0003703929,0.000001333064,0.000002260884,0.00004732665,0.00008604534,0.001211833,0.4282488,0.002872192,0.5669876,0.00006008007],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.191822,0.000006329128,0.000435,0.0169924,0.0006049738,0.0001055286,0.000001183455,0.0001692177,0.7898634],"genre_scores_gemma":[0.9332722,0.00002100742,0.00002000487,0.004485656,0.00004639043,0.000001503286,5.838741e-8,0.000002094401,0.06215106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7414503,"threshold_uncertainty_score":0.999842,"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."}}