{"id":"W7095861600","doi":"","title":"2 | GOVERNING TORONTO BACKGROUND PAPER Civic Engagement and the City of Toronto: Review and Reflection on Current Practices and Future Approaches","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reflection (computer programming); Civic engagement; Current (fluid); Public engagement","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":[0.002125395,0.0004650308,0.0004287458,0.00279508,0.004912468,0.006975195,0.001252487,0.002140994,0.02296296],"category_scores_gemma":[0.004721747,0.0003632809,0.00034825,0.01011859,0.002919432,0.002159957,0.002578067,0.001546829,0.001277599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04334377,"about_ca_system_score_gemma":0.07330862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8605132,"about_ca_topic_score_gemma":0.9360977,"domain_scores_codex":[0.99793,0.0004433258,0.0001217001,0.0002581695,0.0008570123,0.0003897652],"domain_scores_gemma":[0.9936436,0.002167581,0.0009075554,0.0002693849,0.002175362,0.0008364329],"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":[0.00008349329,0.00003221745,0.0126876,0.01216059,0.00007341848,0.001153569,0.04118849,0.001573203,0.0009425505,0.1561089,0.5851317,0.1888643],"study_design_scores_gemma":[0.000005999917,0.00001241886,0.01568711,0.002104802,0.00004159763,0.00009861866,0.01071842,0.00007643558,0.0002055881,0.001841721,0.9691814,0.00002596929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02618466,0.5198563,0.002009824,0.1401895,0.006990875,0.0001579819,0.005064175,0.0001472467,0.2993995],"genre_scores_gemma":[0.4287124,0.4208318,0.002612182,0.01153871,0.003611213,0.0002364212,0.003349337,0.0001631698,0.1289447],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1394868,"threshold_uncertainty_score":0.3144825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287309951968789,"score_gpt":0.3722719360741271,"score_spread":0.2435409408772481,"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."}}