{"id":"W2734765590","doi":"","title":"Web 2.0 for public engagement: building capacity for the Government of Canada","year":2014,"lang":"en","type":"article","venue":"","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Business; Web application; World Wide Web; Computer science; Public administration; Public relations; Political science; Internet privacy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004310095,0.0004743083,0.0003431958,0.002477127,0.00803228,0.01028711,0.001682278,0.002015711,0.03254984],"category_scores_gemma":[0.01415328,0.0003561,0.0005927066,0.003469737,0.002647534,0.005480088,0.008418919,0.002286149,0.005683142],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03532779,"about_ca_system_score_gemma":0.1895286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9529003,"about_ca_topic_score_gemma":0.9636055,"domain_scores_codex":[0.9950904,0.0008516106,0.0001011154,0.0002215802,0.001707316,0.002028022],"domain_scores_gemma":[0.9855215,0.001747431,0.0002670688,0.0009494624,0.005475865,0.006038689],"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":[0.0001607299,0.0004129836,0.01916837,0.0004204917,0.00003993335,0.0002620384,0.006939377,0.001950228,0.001649785,0.08808459,0.5704756,0.3104358],"study_design_scores_gemma":[0.00006956685,0.00008014506,0.04573248,0.000674004,0.00004224065,0.00009203129,0.0138768,0.007868807,0.001530547,0.03073743,0.8991656,0.0001303558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09958235,0.00319417,0.01808881,0.1559664,0.0009440788,0.00092766,0.00828259,0.006311509,0.7067025],"genre_scores_gemma":[0.7449028,0.003457151,0.03289467,0.008013804,0.0002011412,0.0005893107,0.007234181,0.001507107,0.2011997],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9646722,"threshold_uncertainty_score":0.2563223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04935550579901078,"score_gpt":0.2656372243743265,"score_spread":0.2162817185753157,"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."}}