{"id":"W2473128379","doi":"10.17645/up.v1i2.644","title":"The V in VGI: Citizens or Civic Data Sources","year":2016,"lang":"en","type":"article","venue":"Urban Planning","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Volunteered geographic information; Citizenship; Government (linguistics); Public relations; Context (archaeology); Open government; Political science; Civic engagement; Typology; Business; Open data; Sociology; Politics; Geography; Computer science; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008051908,0.0003585653,0.0003750539,0.003129525,0.004270971,0.01504196,0.001347619,0.002172466,0.00789768],"category_scores_gemma":[0.01633644,0.0004365208,0.0003680988,0.007479816,0.01302042,0.0155357,0.008157834,0.001713787,0.001572697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003571257,"about_ca_system_score_gemma":0.004821508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01620914,"about_ca_topic_score_gemma":0.01812022,"domain_scores_codex":[0.9909593,0.005957591,0.0005175574,0.0008590439,0.001220815,0.0004857446],"domain_scores_gemma":[0.9878862,0.006686759,0.001036189,0.002959314,0.0008753362,0.0005561474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006235843,0.00004678704,0.01984663,0.0007144765,0.00002471017,0.0007074494,0.157992,0.0002537301,0.0009613864,0.6718729,0.03243506,0.1150826],"study_design_scores_gemma":[0.00001769747,0.00004026985,0.005270941,0.001496273,0.00002084029,0.0006751174,0.08436977,0.0007852181,0.0007059103,0.104075,0.8024949,0.00004792829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1552445,0.004612808,0.09817587,0.04992895,0.001189289,0.00075788,0.003353191,0.0008941539,0.6858434],"genre_scores_gemma":[0.9121611,0.003106007,0.04021889,0.005109712,0.0002742715,0.0005577574,0.001877075,0.0003887941,0.03630649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01620914,"threshold_uncertainty_score":0.04258305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09671777055258711,"score_gpt":0.3410997372413905,"score_spread":0.2443819666888034,"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."}}