{"id":"W2744637967","doi":"10.1371/journal.pone.0180698","title":"The world’s user-generated road map is more than 80% complete","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":456,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Oak Ridge National Laboratory; Social Sciences and Humanities Research Council of Canada; University of California, Santa Cruz","keywords":"Geospatial analysis; Completeness (order theory); Volunteered geographic information; Geography; Population; The Internet; Computer science; Cartography; Data science; World Wide Web; Mathematics; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002127591,0.0008275541,0.0005838466,0.005866301,0.0006087605,0.002419308,0.0008909887,0.0006815805,0.01362669],"category_scores_gemma":[0.02137339,0.0004056707,0.0007207243,0.01554774,0.0005960757,0.004454013,0.002252474,0.0007772634,0.01326825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006446906,"about_ca_system_score_gemma":0.001501211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03775731,"about_ca_topic_score_gemma":0.03570661,"domain_scores_codex":[0.9974908,0.0004681333,0.0002007159,0.0005343757,0.001153451,0.0001526313],"domain_scores_gemma":[0.9839112,0.002694487,0.001477011,0.004776079,0.006810349,0.0003307854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002998191,0.0001212,0.08051973,0.002944336,0.0004987494,0.0002678797,0.003104892,0.02074715,0.001803721,0.01341048,0.5434139,0.3328682],"study_design_scores_gemma":[0.00003567467,0.00005368979,0.09920007,0.0007884889,0.0001446695,0.0004197333,0.002709866,0.012708,0.002567425,0.008299088,0.8728581,0.000215257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08843487,0.00135823,0.04396571,0.001797108,0.0003859757,0.0003246389,0.7678372,0.01473465,0.08116146],"genre_scores_gemma":[0.2903511,0.001508508,0.03737465,0.0002962694,0.0001321143,0.0005633044,0.6613948,0.001949892,0.006429388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03775731,"threshold_uncertainty_score":0.07507509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084233901256359,"score_gpt":0.3044343651046209,"score_spread":0.196010974978985,"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."}}