{"id":"W1589912152","doi":"10.15353/joci.v10i3.3436","title":"Community Informatics in Cities: New Catalysts for Urban Change","year":2014,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Informatics; Urban community; Geography; Regional science; Political science; Data science; Sociology; Computer science; Socioeconomics","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":[0.006495173,0.001985412,0.001571055,0.003399346,0.004770522,0.01429047,0.003008428,0.02051453,0.01110641],"category_scores_gemma":[0.02135916,0.0007985107,0.001839097,0.001657231,0.005610167,0.007281167,0.003757446,0.02196622,0.003834649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00330677,"about_ca_system_score_gemma":0.004186094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002531016,"about_ca_topic_score_gemma":0.006985983,"domain_scores_codex":[0.9952483,0.001046738,0.0004224811,0.00063788,0.002153187,0.0004915794],"domain_scores_gemma":[0.9731821,0.01393459,0.001097849,0.0008940599,0.007728318,0.003163071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009981472,0.00000980827,0.00004081385,0.0001305565,0.000007800254,0.00004050612,0.00003804465,0.00001122767,0.00002427489,0.001719059,0.9938242,0.004143778],"study_design_scores_gemma":[0.00001644746,0.00001114192,0.0003290245,0.000374034,0.00002707973,0.00008212006,0.0002322057,0.00008300981,0.00006618214,0.002737799,0.9960277,0.00001324049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.00006780332,0.005869629,0.0001073108,0.1227729,0.8691221,0.00000932997,0.0000228539,0.00001764977,0.002010528],"genre_scores_gemma":[0.001692254,0.005802137,0.0001303124,0.04673878,0.9393411,0.00001710618,0.00002139204,0.00003458695,0.006222386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02051453,"threshold_uncertainty_score":0.03715461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08299093750856396,"score_gpt":0.3214452942165756,"score_spread":0.2384543567080116,"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."}}