{"id":"W2767516884","doi":"10.21307/ijssis-2017-308","title":"Department of Mechanical and Industrial Engineering, University of Toronto,5 King's College Road, Toronto, ON, M5S 3G8, Canada","year":2008,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Keypad; Interface (matter); Computer science; Computer vision; Artificial intelligence; Sequence (biology); Computer hardware; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100752,0.00008528341,0.0001956465,0.00003239111,0.00009705803,0.000004217708,0.0001740263,0.00007895692,0.0002273344],"category_scores_gemma":[0.0003915127,0.00009835831,0.00003754068,0.00003740375,0.00009003712,0.0001325621,0.00007880272,0.0002125968,5.435302e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131095,"about_ca_system_score_gemma":0.0004548068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2658534,"about_ca_topic_score_gemma":0.6832494,"domain_scores_codex":[0.9990233,0.00008691843,0.0002027888,0.000262312,0.0001737152,0.0002509478],"domain_scores_gemma":[0.9991139,0.0004384884,0.00006673115,0.0002298248,0.00003104987,0.0001199964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01002458,0.005046669,0.02597919,0.0003071611,0.0006799793,0.003435855,0.007389857,0.02579136,0.6017779,0.058932,0.01912009,0.2415154],"study_design_scores_gemma":[0.005818264,0.001954831,0.02655135,0.0001710841,0.00002387083,0.0002397208,0.007004505,0.02011538,0.3403106,0.00002816179,0.596908,0.0008742944],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97646,0.000008694085,3.570297e-7,0.00005772576,0.0001965072,0.0001890273,0.0001218325,0.00000670558,0.02295915],"genre_scores_gemma":[0.997601,0.001383171,0.00002901266,0.00002128184,0.00003414305,0.000002061123,0.000001611303,0.000008555026,0.0009191819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5777879,"threshold_uncertainty_score":0.7390354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0408995516604895,"score_gpt":0.2621002761463671,"score_spread":0.2212007244858775,"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."}}