{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361408,0.0003985539,0.0004069135,0.001129736,0.02534558,0.009235997,0.0009166866,0.001005518,0.01024692],"category_scores_gemma":[0.003094195,0.0003456608,0.0003435785,0.003363165,0.02066598,0.002633564,0.008240297,0.00199424,0.0004470292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08931016,"about_ca_system_score_gemma":0.05514039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9550855,"about_ca_topic_score_gemma":0.9829144,"domain_scores_codex":[0.9964653,0.001331197,0.00008474781,0.0003428302,0.0006056194,0.001170339],"domain_scores_gemma":[0.996742,0.0008704306,0.0002873403,0.0002111683,0.0003958393,0.001493423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009060277,0.00003036865,0.0216449,0.0001781496,0.00001814835,0.001367172,0.877614,0.0005220324,0.0007722497,0.07440282,0.00765133,0.01570812],"study_design_scores_gemma":[0.00001040655,0.00004803509,0.03846454,0.0001771382,0.0000202571,0.0002474212,0.7672694,0.00046217,0.000381249,0.003442509,0.1894199,0.00005711558],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.780908,0.002229626,0.002365191,0.007344663,0.000164747,0.00009155896,0.0004257383,0.0000814086,0.2063891],"genre_scores_gemma":[0.9893075,0.0004443317,0.0002269108,0.0001228444,0.000007807119,0.00001624907,0.00005800339,0.00001660048,0.009799753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08931016,"threshold_uncertainty_score":0.6479936,"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."}}