{"id":"W1482335839","doi":"10.1111/j.1467-9671.2012.01318.x","title":"Supporting Accessibility for Blind and Vision‐impaired People With a Localized Gazetteer and Open Source Geotechnology","year":2012,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Engineer Research and Development Center; George Mason University","keywords":"Volunteered geographic information; Georeference; Geospatial analysis; JavaScript; Geocoding; Computer science; World Wide Web; Visually impaired; Ajax; Mobile device; Geography; Information retrieval; Web application; Cartography; Data science; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001494085,0.00008436344,0.0002081763,0.000144879,0.0006969965,0.0001034645,0.000136346,0.0001074753,0.00008763724],"category_scores_gemma":[0.00008199074,0.00007147165,0.00002221554,0.0004297477,0.0003056001,0.00084201,0.00002262306,0.0001004235,0.00000149477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003194449,"about_ca_system_score_gemma":0.00004282647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004349609,"about_ca_topic_score_gemma":0.01914704,"domain_scores_codex":[0.9990565,0.00006251646,0.0002706068,0.0001481492,0.0001288596,0.0003334317],"domain_scores_gemma":[0.9994349,0.0001968729,0.0001051773,0.0001195641,0.00007410317,0.00006939809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004004909,0.0002697814,0.6408231,0.0002196301,0.0001352028,5.061364e-7,0.2797369,0.0001185228,0.00002639027,0.001936797,0.0002164878,0.07611619],"study_design_scores_gemma":[0.01224691,0.0004386633,0.4214842,0.0001990414,0.0002242305,0.00004348009,0.3805496,0.002994812,0.0001742622,0.002929457,0.1776745,0.001040859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8999969,0.0001310157,0.09389311,0.002871291,0.00009049982,0.00143112,0.00001082878,0.00008684456,0.001488344],"genre_scores_gemma":[0.9966641,0.00003319032,0.002584719,0.00005957683,0.00001575577,0.0002409817,0.000001232226,0.000006385339,0.0003940688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2193389,"threshold_uncertainty_score":0.998751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03011535408895036,"score_gpt":0.3707157282392244,"score_spread":0.3406003741502741,"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."}}