{"id":"W2767031149","doi":"10.1145/3126594.3126598","title":"HapticClench","year":2017,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Perception; Computer vision; Artificial intelligence; Human–computer interaction; Psychology; Neuroscience","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":[0.0003706437,0.0003676029,0.0002837405,0.000339804,0.0001941959,0.0004883313,0.0008776924,0.0007422175,0.01177315],"category_scores_gemma":[0.001681736,0.0001513802,0.0002712531,0.0001802099,0.0005244161,0.0009474629,0.0009392648,0.0003775863,0.00128844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814681,"about_ca_system_score_gemma":0.0001599191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002886403,"about_ca_topic_score_gemma":0.0003207349,"domain_scores_codex":[0.9996519,0.0000319857,0.00001609822,0.00005382143,0.000209155,0.00003706324],"domain_scores_gemma":[0.999333,0.0003090583,0.00007330698,0.0001146835,0.0001059815,0.00006401471],"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":[0.0009054573,0.0001838264,0.001068455,0.001513432,0.00003235243,0.0008960006,0.0003498835,0.0009098164,0.6826254,0.004213384,0.01196267,0.2953393],"study_design_scores_gemma":[0.0004650443,0.006852814,0.03027756,0.0004229269,0.0001420845,0.01802054,0.0003507545,0.02411358,0.6275395,0.0032612,0.2881518,0.000402409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6282366,0.01500684,0.2381781,0.001909927,0.001842826,0.001349607,0.002283548,0.009717293,0.1014751],"genre_scores_gemma":[0.9007183,0.001800083,0.06549552,0.001232069,0.0002288647,0.0002820948,0.0006568722,0.0003155906,0.02927053],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01177315,"threshold_uncertainty_score":0.03938508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005275382357916,"score_gpt":0.3462049018460895,"score_spread":0.2456773636102978,"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."}}