{"id":"W2286501983","doi":"10.1145/2839462.2839484","title":"Snake Charmer","year":2016,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer graphics (images); Stereoscopy; Virtual reality; Object (grammar); Haptic technology; GRASP; Human–computer interaction; Augmented reality; Artificial intelligence; Computer vision; Robotic arm","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":[0.0003636416,0.0005932293,0.0004468384,0.000655101,0.0006390602,0.001317955,0.0008578022,0.000826961,0.04494811],"category_scores_gemma":[0.001110836,0.0004957637,0.0007014811,0.0003737554,0.0006566087,0.001381782,0.001957029,0.001357835,0.01011326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004401445,"about_ca_system_score_gemma":0.0005735721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008004103,"about_ca_topic_score_gemma":0.0011636,"domain_scores_codex":[0.9997633,0.00002409489,0.000009802347,0.00005419939,0.0001196523,0.00002897393],"domain_scores_gemma":[0.9996585,0.00008141057,0.00001561953,0.00006944084,0.00008919766,0.0000859358],"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":[0.001352674,0.0002061934,0.001765572,0.0008052376,0.00009031095,0.0009073623,0.001168742,0.01960958,0.192043,0.1011709,0.1281098,0.5527706],"study_design_scores_gemma":[0.0001875037,0.0005478181,0.002166884,0.000208763,0.0001086478,0.002722631,0.0002040809,0.1387773,0.08198486,0.0283585,0.7445053,0.0002276922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04525632,0.001090787,0.764852,0.00154062,0.001393406,0.0003605069,0.000930684,0.04179378,0.142782],"genre_scores_gemma":[0.2719241,0.001287602,0.4332541,0.001179252,0.0001356447,0.0003041517,0.001676559,0.00563169,0.284607],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04494811,"threshold_uncertainty_score":0.1503664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06082985592099113,"score_gpt":0.2985969698039366,"score_spread":0.2377671138829454,"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."}}