{"id":"W1608012740","doi":"10.26522/ti.v2i1.736","title":"I Brake for Blind People","year":2013,"lang":"en","type":"article","venue":"ti<","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brake; Blind spot; Psychology; Computer science; Automotive engineering; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004304966,0.00107764,0.0003500366,0.0006653953,0.002751084,0.001671261,0.0006388711,0.001966768,0.125065],"category_scores_gemma":[0.002635143,0.0002018327,0.0004606149,0.0002043291,0.001322906,0.001872404,0.002198259,0.002073084,0.05149484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004313933,"about_ca_system_score_gemma":0.0007432735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003611807,"about_ca_topic_score_gemma":0.005858378,"domain_scores_codex":[0.999676,0.00004000849,0.00001391203,0.00005312033,0.0001263156,0.00009067314],"domain_scores_gemma":[0.9994072,0.00007978475,0.00004967621,0.00005502222,0.000164541,0.0002438219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006597877,0.0003059622,0.003730747,0.0004967458,0.00004230846,0.001708487,0.003684954,0.00008853973,0.02145977,0.004646942,0.5314708,0.431705],"study_design_scores_gemma":[0.0001328314,0.000729006,0.01338848,0.0009615876,0.00008411386,0.01056958,0.01132107,0.0004330168,0.00928165,0.00914222,0.9437735,0.0001828727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1215059,0.01551431,0.04323228,0.05661355,0.02418295,0.0005646163,0.001130318,0.01558227,0.7216738],"genre_scores_gemma":[0.2805012,0.005571488,0.0168939,0.02483604,0.002214788,0.000317832,0.0004461084,0.00108939,0.6681293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.125065,"threshold_uncertainty_score":0.4183841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06371713037992019,"score_gpt":0.310723025309118,"score_spread":0.2470058949291978,"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."}}