{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003925926,0.0001650361,0.0001706562,0.001459649,0.001298702,0.0007374244,0.0004514776,0.0001480387,0.00004623757],"category_scores_gemma":[0.0008493246,0.000109127,0.0001774508,0.00091265,0.0003575743,0.003367418,0.0000690173,0.000137502,0.000007099053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001227771,"about_ca_system_score_gemma":0.0001009138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000282391,"about_ca_topic_score_gemma":0.000356471,"domain_scores_codex":[0.9974808,0.0002015671,0.0009681158,0.0001490533,0.0008618612,0.0003386583],"domain_scores_gemma":[0.9970205,0.000353727,0.000668857,0.0001438903,0.001707245,0.0001057384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003220799,0.00008882855,0.507136,0.00006762835,0.0003153744,0.000001928831,0.04674364,0.0001126649,0.0003486334,0.3503972,0.002027002,0.09243897],"study_design_scores_gemma":[0.005611253,0.0001437972,0.378891,0.0005747994,0.00006852159,0.00009185421,0.03831711,0.0009287337,0.0002163959,0.06961598,0.5047765,0.0007640864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8653899,0.0002057207,0.09704372,0.02852788,0.003441106,0.001672063,0.00006939367,0.000174074,0.003476134],"genre_scores_gemma":[0.9970053,0.00144502,0.0001378668,0.0008699206,0.0002722881,0.0001150574,0.00006260179,0.000007674817,0.00008430833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5027495,"threshold_uncertainty_score":0.9988699,"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."}}