{"id":"W7056569556","doi":"","title":"Getting the Job Done: Understanding Barriers and Enablers to Municipal Climate Action in Greater Victoria","year":2023,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Focus group; Government (linguistics); Local government; Climate change; Thematic analysis; Autonomy; Politics","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":[0.006974349,0.0002930466,0.0005182573,0.001095417,0.01704615,0.007244544,0.002127056,0.001352965,0.003126013],"category_scores_gemma":[0.01174426,0.0007328169,0.0003290504,0.00190901,0.006614481,0.003338262,0.00786593,0.003624143,0.0003142821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05001397,"about_ca_system_score_gemma":0.07329329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8533606,"about_ca_topic_score_gemma":0.9347252,"domain_scores_codex":[0.9916938,0.002763729,0.0002323486,0.0004331795,0.001591696,0.003285244],"domain_scores_gemma":[0.9897344,0.002894041,0.001194459,0.0002388445,0.002007965,0.003930193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003745628,0.00006752394,0.02239618,0.0002531026,0.00001125131,0.000315686,0.9510288,0.0001493335,0.0004859735,0.005288824,0.002635933,0.01733007],"study_design_scores_gemma":[0.000003413918,0.00002874507,0.03441074,0.0002335957,0.000008717496,0.00004319939,0.9454136,0.0002140799,0.00008324638,0.0008852903,0.01865257,0.00002276531],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647484,0.001100321,0.0005567402,0.008485026,0.00004728905,0.00009936331,0.00005817685,0.00001420377,0.0248905],"genre_scores_gemma":[0.994145,0.0007160953,0.0003584819,0.0004809558,0.000003665391,0.00004464403,0.00003338763,0.00001248111,0.004205255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1466394,"threshold_uncertainty_score":0.3628785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04569015715450707,"score_gpt":0.2823312617550318,"score_spread":0.2366411046005247,"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."}}