{"id":"W2114336893","doi":"10.5281/zenodo.1177656","title":"Evaluation Of {3D} Haptic Target Rendering To Support Timing In Music Tasks","year":2009,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Haptic technology; Computer science; Human–computer interaction; Rendering (computer graphics); Task (project management); Target acquisition; Multimedia; Simulation; Artificial intelligence; Engineering","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":[0.001089368,0.0006483408,0.0003956248,0.0003702491,0.0001673874,0.0005726254,0.000511158,0.0005066702,0.002146495],"category_scores_gemma":[0.006195174,0.0002054115,0.0003315889,0.000160929,0.0003186198,0.0004375366,0.0004747696,0.0002711797,0.0002169694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208917,"about_ca_system_score_gemma":0.0001724166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004267728,"about_ca_topic_score_gemma":0.0004379422,"domain_scores_codex":[0.9992586,0.0002818429,0.00004907813,0.00005666637,0.0002901234,0.00006359915],"domain_scores_gemma":[0.9967617,0.002464268,0.0001665216,0.0002017847,0.000250934,0.0001547904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002134504,0.0005714583,0.001285613,0.0004927876,0.00004556043,0.0002672485,0.0009175105,0.009490634,0.9019969,0.0003316995,0.0002115091,0.08225457],"study_design_scores_gemma":[0.000602335,0.02729923,0.06513711,0.0001327847,0.0002614421,0.002771798,0.0009467176,0.1337709,0.7616583,0.001056239,0.006115357,0.000247861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499225,0.000150556,0.0480671,0.00004184334,0.00002473581,0.0001446103,0.00007390379,0.0003046507,0.001270156],"genre_scores_gemma":[0.9469485,0.0001895227,0.05156946,0.00002916237,0.00001969822,0.00007875869,0.00008240563,0.00008913053,0.0009933591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002146495,"threshold_uncertainty_score":0.007180691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1823692058005459,"score_gpt":0.367274764290457,"score_spread":0.184905558489911,"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."}}