{"id":"W4411307928","doi":"10.21606/drs.2010.136","title":"Retail Design and the Visually Impaired: A Needs Assessment","year":2010,"lang":"en","type":"article","venue":"Proceedings of DRS","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Visually impaired; Computer science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001351711,0.0001121901,0.000189309,0.0001343462,0.00005929981,0.00009674812,0.000230944,0.00007387637,0.00002039572],"category_scores_gemma":[0.0001225618,0.00007951832,0.00003788736,0.0002562758,0.0001452532,0.0001382731,0.00005816171,0.0003219569,0.000004989089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002101808,"about_ca_system_score_gemma":0.00002452901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001524756,"about_ca_topic_score_gemma":0.000001173755,"domain_scores_codex":[0.9991552,0.00000656827,0.00020538,0.00010576,0.0002990538,0.0002280194],"domain_scores_gemma":[0.9995236,0.0001448929,0.00004392185,0.00008031326,0.0001395757,0.00006769157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001311492,0.00005372482,0.04577552,0.0009752107,0.0002863153,0.000001808443,0.006142079,0.000177184,0.8936967,0.0305513,0.009531712,0.01267728],"study_design_scores_gemma":[0.009583251,0.0007285858,0.08595201,0.0005674547,0.0002107554,0.0002825639,0.00672751,0.6228887,0.2316433,0.004697531,0.03517893,0.001539409],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984369,0.00009196968,0.000624875,0.0001989991,0.0001641045,0.0004625677,6.208591e-7,0.0001551522,0.01393268],"genre_scores_gemma":[0.9961491,0.00002346822,0.003434912,0.000008498853,0.00009498949,0.00007995281,1.993859e-7,0.0000291444,0.0001797975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6620533,"threshold_uncertainty_score":0.3242663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563878695039765,"score_gpt":0.2618900580594788,"score_spread":0.2462512711090811,"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."}}