{"id":"W4255954277","doi":"10.15353/joci.v2i2.2088","title":"Designing Technology for Local Citizen Deliberation","year":2006,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deliberation; Democracy; Public relations; Focus (optics); Emerging technologies; Focus group; Political science; Knowledge management; Business; Internet privacy; Sociology; World Wide Web; Marketing; Computer science; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01020658,0.0006399403,0.0004334343,0.00195937,0.004164419,0.007573473,0.001744272,0.002287412,0.009162083],"category_scores_gemma":[0.01752219,0.0006743669,0.0005664593,0.001374416,0.004609268,0.01082834,0.008466328,0.001315457,0.003098065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431147,"about_ca_system_score_gemma":0.002043183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007366359,"about_ca_topic_score_gemma":0.001269722,"domain_scores_codex":[0.988313,0.009151269,0.0004242639,0.0008686265,0.0005968679,0.0006460273],"domain_scores_gemma":[0.9903383,0.006661172,0.0003978461,0.001374626,0.000715396,0.0005126395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003860659,0.001078057,0.01443868,0.001788898,0.0001147251,0.002348146,0.2034361,0.009114736,0.0223022,0.2151356,0.02025486,0.509602],"study_design_scores_gemma":[0.0003025061,0.001173402,0.003818505,0.001140007,0.0002063601,0.001269402,0.1392279,0.02110981,0.02508638,0.1633043,0.6431754,0.0001859418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1973053,0.0008943317,0.607907,0.005423807,0.0002933463,0.001853741,0.0001730613,0.005006136,0.1811433],"genre_scores_gemma":[0.6946658,0.0005308005,0.2811812,0.0006137034,0.00004726234,0.002285451,0.0002895597,0.0004883751,0.01989763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01020658,"threshold_uncertainty_score":0.0539782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854430943281328,"score_gpt":0.3253196615095321,"score_spread":0.2867753520767188,"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."}}