{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001962342,0.00004831931,0.00011673,0.00008827534,0.001144625,0.00004075607,0.000449262,0.00009604256,0.000005604621],"category_scores_gemma":[0.000521518,0.00003552649,0.00004649919,0.0001793033,0.0003980169,0.0002158093,0.0000282026,0.0004126985,0.000003577466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008491612,"about_ca_system_score_gemma":0.0002022134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003813168,"about_ca_topic_score_gemma":0.0002706022,"domain_scores_codex":[0.9988626,0.0003407857,0.0004124276,0.0000029548,0.0002110129,0.000170187],"domain_scores_gemma":[0.9977573,0.001359271,0.0003560305,0.0001086343,0.0003836055,0.00003521071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000572679,0.00009203985,0.00073134,0.00004809647,0.00005104038,2.237553e-7,0.823963,0.001650838,0.0001997599,0.1153208,0.01947143,0.03841421],"study_design_scores_gemma":[0.0003738939,0.0001482287,0.00008237264,0.00002939497,0.00005849685,0.00001331355,0.8278933,0.0001680725,0.001648082,0.1323101,0.03720611,0.00006861128],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.742707,0.00005693841,0.2475066,0.003193419,0.0002567076,0.0001468192,0.000002514493,0.00002237804,0.006107666],"genre_scores_gemma":[0.995878,0.00004111189,0.003376029,0.0003935296,0.0002569837,0.000001561977,0.000001800498,0.000003821099,0.00004721033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.253171,"threshold_uncertainty_score":0.8803647,"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."}}