{"id":"W7133033257","doi":"","title":"Civic Participation and Democratic Experience: Civic Tech in Toronto","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Civic engagement; Corporate governance; Commons; Ethnography; Placemaking; Normative; State (computer science); Collective action; Focus group","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001453827,0.0004489158,0.000494683,0.0001979808,0.0002351395,0.0000913832,0.000264938,0.000319619,0.004576331],"category_scores_gemma":[0.0001591221,0.0005350186,0.0000660593,0.000401602,0.00006849419,0.0002797496,0.000118701,0.0005120699,0.00001174989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008384403,"about_ca_system_score_gemma":0.00005080967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006677896,"about_ca_topic_score_gemma":0.03274206,"domain_scores_codex":[0.998062,0.00004954554,0.0004890066,0.0005080791,0.0003196225,0.0005717615],"domain_scores_gemma":[0.9991718,0.0001435515,0.0001339618,0.0004449332,0.00003116457,0.00007460501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003151595,0.0005155666,0.0586731,0.005571437,0.0004050343,0.0002224256,0.7992424,0.009993686,0.02200795,0.01519765,0.002124593,0.08573104],"study_design_scores_gemma":[0.001084746,0.0004323554,0.09834439,0.0006012349,0.0001453363,0.00001312249,0.8506005,0.03502781,0.006806373,0.002224271,0.003014923,0.001704972],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731444,0.01190981,0.00006862207,0.0001619667,0.0009471141,0.0005662195,0.000003896276,0.0002904086,0.01290759],"genre_scores_gemma":[0.9914619,0.003193705,0.0001867392,0.00001572191,0.00005136048,0.001034209,0.00009437071,0.00007307228,0.003888944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08402607,"threshold_uncertainty_score":0.9999367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456590502417336,"score_gpt":0.3305001108127127,"score_spread":0.3159342057885393,"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."}}