{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002588099,0.00006584475,0.00009557624,0.000006996574,0.0006851029,0.00007469844,0.0004103128,0.00003267135,0.0002513493],"category_scores_gemma":[0.0006723289,0.00004514021,0.00005565799,0.00009350963,0.00007706475,0.0001438498,0.0000428718,0.00003957282,1.906704e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879149,"about_ca_system_score_gemma":0.0003206002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2193041,"about_ca_topic_score_gemma":0.8978397,"domain_scores_codex":[0.9985493,0.00007852199,0.000145566,0.0001216275,0.0008058369,0.0002991619],"domain_scores_gemma":[0.9980277,0.001564838,0.0001125762,0.0001400676,0.00008286542,0.00007189552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007378344,0.00001860575,0.00606004,0.00002948387,0.00003478197,7.915286e-9,0.0008691975,0.000004617237,0.0001123624,0.9640698,0.02305567,0.005738008],"study_design_scores_gemma":[0.0002673989,0.00002177494,0.0006157314,0.000003855569,0.00001432409,1.330631e-8,0.007492976,0.001634408,0.0006055105,0.001814113,0.9874579,0.00007201935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3377295,0.0001091896,0.02916395,0.1177322,0.001998735,0.002401616,0.0001856222,0.00007636184,0.5106028],"genre_scores_gemma":[0.9928917,0.00001206769,0.002152453,0.001139172,0.0002751857,0.0000864925,0.000001016875,0.000005754085,0.003436187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9644022,"threshold_uncertainty_score":0.7858946,"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."}}