{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003809137,0.0001191398,0.0002092763,0.0000754247,0.0002479828,0.0002364904,0.0002530193,0.00005033297,0.0001674996],"category_scores_gemma":[0.0003198588,0.0001119785,0.00004536441,0.0003078072,0.00008227144,0.001743334,0.00005366762,0.0001071872,0.0005563247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000709398,"about_ca_system_score_gemma":0.0001152251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006914495,"about_ca_topic_score_gemma":0.00005174498,"domain_scores_codex":[0.9972687,0.0004704019,0.001120761,0.00009330574,0.0006924511,0.0003543533],"domain_scores_gemma":[0.997018,0.0000868503,0.002012849,0.0002682701,0.0004422539,0.0001717472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005531568,0.0001018582,0.0756329,0.0005847936,0.00007862275,0.000003897231,0.5650644,0.0001753957,0.0004047201,0.3280456,0.01149525,0.01835722],"study_design_scores_gemma":[0.0004432001,0.0000761203,0.01900375,0.0004438746,0.00002410117,0.0000048459,0.2685513,0.001808367,0.0003174928,0.00001794143,0.7088651,0.0004439361],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3593368,0.00004863279,0.0001793442,0.0001571163,0.000772222,0.0002797743,0.000008501083,0.000105595,0.6391121],"genre_scores_gemma":[0.9983654,0.0000127913,0.0000432933,0.000443805,0.000398775,0.00000912719,0.00001450516,0.000009022387,0.0007032657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6973699,"threshold_uncertainty_score":0.7150614,"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."}}