{"id":"W2231972059","doi":"","title":"PARTICIPATORY URBAN SENSING: CITIZENS' ACCEPTANCE OF A MOBILE REPORTING SERVICE","year":2012,"lang":"en","type":"article","venue":"European Conference on Information Systems","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Government (linguistics); Participatory sensing; Service (business); Technology acceptance model; Business; Citizen journalism; Information and Communications Technology; Knowledge management; Internet privacy; Public relations; Usability; Computer science; Marketing; Political science; World Wide Web; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004480944,0.0002188808,0.0002470493,0.0006992975,0.0007818379,0.002000352,0.0003565841,0.0009332231,0.002693456],"category_scores_gemma":[0.01912836,0.0001766336,0.0006200274,0.0006853529,0.001487534,0.001251781,0.001637112,0.0008501962,0.0002676545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006365752,"about_ca_system_score_gemma":0.0007224848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00408428,"about_ca_topic_score_gemma":0.003593508,"domain_scores_codex":[0.995771,0.002555003,0.0002607839,0.000235258,0.0008348252,0.0003431001],"domain_scores_gemma":[0.9802541,0.01091989,0.004652131,0.0009456359,0.002391919,0.0008362532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002617159,0.0005652299,0.8111512,0.0002366464,0.0001097884,0.0006534564,0.1324716,0.0007598437,0.003040938,0.002355126,0.0007083509,0.04768615],"study_design_scores_gemma":[0.00004906506,0.001327584,0.7143203,0.0001796762,0.0001349134,0.001023552,0.2632072,0.006807425,0.00191517,0.002602407,0.00830006,0.000132642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947503,0.00004331901,0.0006487074,0.000335429,0.000005406447,0.00002884818,0.0000213718,0.000007151055,0.004159327],"genre_scores_gemma":[0.9995165,0.00003001753,0.0001710924,0.00004023537,0.000002486682,0.00001371683,0.00001538552,0.000001350684,0.0002092196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004480944,"threshold_uncertainty_score":0.02369779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111409306680949,"score_gpt":0.3267722113589084,"score_spread":0.2153629046779594,"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."}}