{"id":"W2964630167","doi":"","title":"Haptic techniques for browsing sound maps organized by similarity","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Haptic technology; Computer science; Rendering (computer graphics); Headphones; Virtual reality; Sound recording and reproduction; Sound (geography); Pointer (user interface); Human–computer interaction; Computer graphics (images); Computer vision; Artificial intelligence; Acoustics","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":[0.0003666493,0.0007486113,0.0007317401,0.001650632,0.000403892,0.001290046,0.0008501144,0.0008255112,0.01383311],"category_scores_gemma":[0.003020796,0.0003415066,0.0004333154,0.002130756,0.0004837137,0.001898623,0.001998796,0.0006913975,0.0013957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687844,"about_ca_system_score_gemma":0.0001894576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007173339,"about_ca_topic_score_gemma":0.001398303,"domain_scores_codex":[0.9996662,0.00004271978,0.00001543187,0.00004798458,0.0001876135,0.00004013011],"domain_scores_gemma":[0.9984541,0.0009773745,0.00007966072,0.0002411876,0.0001454737,0.0001022223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00138112,0.0002297062,0.0009741083,0.0008043214,0.00008388762,0.0006065364,0.00116326,0.01008843,0.2926128,0.01087674,0.005761436,0.6754177],"study_design_scores_gemma":[0.0007890213,0.001636917,0.009943539,0.0002448186,0.0002945063,0.003833974,0.002626274,0.699446,0.1755385,0.06607629,0.03932336,0.0002468063],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1015498,0.0009979635,0.8869199,0.0001667962,0.0001207181,0.0001205084,0.0002516708,0.003419316,0.006453352],"genre_scores_gemma":[0.5463538,0.00122875,0.4438066,0.0001013219,0.00012148,0.0001486489,0.0003631656,0.0004755532,0.00740076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01383311,"threshold_uncertainty_score":0.04627633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209915531404969,"score_gpt":0.2727529644934121,"score_spread":0.2406538091793624,"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."}}