{"id":"W3015805183","doi":"10.36227/techrxiv.12084168.v1","title":"Smart Shoes For Visually Impaired","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Sight; Visually impaired; Human–computer interaction; Amusement; Computer science; Arduino; Object (grammar); Front (military); ALARM; Architectural engineering; Psychology; Artificial intelligence; Engineering; Social psychology; Electrical engineering; Embedded system","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":[0.0001885334,0.0004202316,0.0002134817,0.0003691085,0.0004584852,0.000910188,0.0004440319,0.0009088469,0.009561689],"category_scores_gemma":[0.0006281718,0.0001296901,0.0003130781,0.0002387319,0.0003629799,0.000852973,0.001089129,0.0002729508,0.003234593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000184961,"about_ca_system_score_gemma":0.0003823088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963813,"about_ca_topic_score_gemma":0.003079448,"domain_scores_codex":[0.9998628,0.0000319951,0.000008153183,0.00002196618,0.00004364354,0.00003148221],"domain_scores_gemma":[0.9998296,0.00002336942,0.00001590089,0.0000343938,0.00006212317,0.00003458641],"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":[0.0007839316,0.0005683538,0.02095302,0.001710975,0.00007579814,0.003645648,0.003045714,0.003030678,0.1060844,0.01309001,0.0458529,0.8011586],"study_design_scores_gemma":[0.0003224463,0.004014589,0.1134359,0.001539808,0.0003994532,0.02318591,0.01939354,0.06187314,0.1018914,0.02489378,0.6487162,0.0003338292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7214825,0.00977606,0.1726496,0.005425817,0.0008213266,0.0004084625,0.001164585,0.003228928,0.0850428],"genre_scores_gemma":[0.8958286,0.003596448,0.03620703,0.0007256483,0.00007782676,0.0001176986,0.0004045603,0.00009353518,0.06294861],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009561689,"threshold_uncertainty_score":0.03198701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06382850498610941,"score_gpt":0.3184626561165944,"score_spread":0.254634151130485,"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."}}