{"id":"W2473953153","doi":"10.3138/cart.51.2.3143","title":"Position Validation in Crowdsourced Accessibility Mapping","year":2016,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineer Research and Development Center; U.S. Army Corps of Engineers; George Mason University","keywords":"Volunteered geographic information; Computer science; Location-based service; Pedestrian; Rendering (computer graphics); Crowdsourcing; Consistency (knowledge bases); Data science; Transport engineering; World Wide Web; Artificial intelligence; Telecommunications; 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":[0.01215777,0.00108512,0.0008874303,0.00322257,0.001498185,0.003000308,0.002816668,0.001531991,0.001527761],"category_scores_gemma":[0.065853,0.0005872854,0.0007334477,0.003683729,0.001774829,0.002290878,0.006357965,0.001001155,0.001547632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309479,"about_ca_system_score_gemma":0.002051773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358853,"about_ca_topic_score_gemma":0.01321916,"domain_scores_codex":[0.9823569,0.006596187,0.001064488,0.002901195,0.006464844,0.0006163998],"domain_scores_gemma":[0.955375,0.01991256,0.003611892,0.01141566,0.009062543,0.0006223837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001173039,0.0004696223,0.09835638,0.001779258,0.0004950766,0.00174639,0.0178898,0.1553171,0.0336003,0.01952625,0.01264443,0.6570023],"study_design_scores_gemma":[0.0001740903,0.0004510834,0.06458086,0.0008296032,0.0001759673,0.0009054157,0.01087062,0.7704957,0.04483947,0.04635834,0.06000139,0.0003174437],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.24629,0.00067904,0.7290166,0.0007231787,0.0005445902,0.000966286,0.002498794,0.004691244,0.01459019],"genre_scores_gemma":[0.7974789,0.0001644245,0.1956419,0.0002732523,0.00007242364,0.0005596033,0.002714452,0.0004999465,0.002595105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01358853,"threshold_uncertainty_score":0.0642972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171338979592016,"score_gpt":0.3262594886584361,"score_spread":0.304546098862516,"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."}}