{"id":"W2397573772","doi":"10.1145/2858036.2858279","title":"HapTurk","year":2016,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modalities; Computer science; Fidelity; Human–computer interaction; Proxy (statistics); Visualization; Perception; High fidelity; Multimedia; Artificial intelligence; Machine learning; Engineering; Telecommunications","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":[0.0006127403,0.0008928363,0.000631063,0.0007302458,0.0009999975,0.002273781,0.00113917,0.001186068,0.4191736],"category_scores_gemma":[0.002221323,0.0003504214,0.0004455396,0.0006057812,0.0004733997,0.001930803,0.002923718,0.0008355838,0.2028122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709732,"about_ca_system_score_gemma":0.0007553289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001654285,"about_ca_topic_score_gemma":0.001848134,"domain_scores_codex":[0.9995391,0.00006253475,0.00002473471,0.0001439856,0.0001623858,0.00006720571],"domain_scores_gemma":[0.9990871,0.0001781274,0.00003308177,0.0002691455,0.0002534406,0.0001790805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001269046,0.0001212535,0.001214201,0.001409395,0.00004397831,0.0005941054,0.0006366402,0.001166924,0.01985024,0.01394105,0.5127347,0.4470184],"study_design_scores_gemma":[0.00008485032,0.0001352619,0.002026871,0.0001390787,0.00002098249,0.0004016711,0.000274696,0.002854943,0.007099198,0.005281103,0.981632,0.00004942983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02389235,0.003744319,0.08713698,0.002821161,0.004277786,0.001153346,0.02811303,0.06741242,0.7814485],"genre_scores_gemma":[0.1780799,0.00293966,0.06466737,0.001849713,0.0007976788,0.001306841,0.04319081,0.01786957,0.6892985],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4191736,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05566518769811427,"score_gpt":0.2915051272693563,"score_spread":0.2358399395712421,"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."}}