{"id":"W2762882708","doi":"10.1145/3131277.3132179","title":"Haptobend","year":2017,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Haptic technology; Computer science; Virtual reality; Human–computer interaction; Gesture; Computer vision; Matching (statistics); Interaction technique; Immersion (mathematics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002999021,0.0008644517,0.0004199108,0.0004765286,0.0003025857,0.00083491,0.001245257,0.000927632,0.02919222],"category_scores_gemma":[0.001256077,0.000359985,0.0005221149,0.0002824248,0.000536427,0.001330577,0.001833142,0.0006055393,0.004603033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001922479,"about_ca_system_score_gemma":0.0003804198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004816731,"about_ca_topic_score_gemma":0.000590711,"domain_scores_codex":[0.9996182,0.00003629936,0.00001996694,0.0000999925,0.0001808849,0.0000446039],"domain_scores_gemma":[0.9995441,0.0001585733,0.00003855261,0.000103443,0.00007821589,0.00007707511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001825841,0.0002307352,0.002458105,0.003076311,0.00008676245,0.001418658,0.0009478945,0.002191471,0.3267662,0.008900141,0.03700601,0.6150919],"study_design_scores_gemma":[0.0005572598,0.004342971,0.01441162,0.0005161886,0.000248065,0.01209517,0.0004535218,0.02302823,0.2628548,0.006619361,0.6745155,0.0003573086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.24625,0.008925419,0.5456932,0.001587051,0.002647619,0.002130135,0.004503197,0.01829155,0.1699719],"genre_scores_gemma":[0.6225529,0.003475075,0.2736934,0.002454604,0.0002707324,0.001187752,0.003947614,0.001741618,0.09067644],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02919222,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057503227331685,"score_gpt":0.3491798092414125,"score_spread":0.2434294865082439,"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."}}