{"id":"W6982022972","doi":"","title":"Governing Carbon Removal: Deploying Direct Air Capture Amidst Canada’s Energy Transition","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment and Climate Change Canada","keywords":"Context (archaeology); Climate change mitigation; Carbon capture and storage (timeline); Resource (disambiguation); Energy transition; Climate change; Greenhouse gas; Energy policy","routes":{"ca_aff":false,"ca_fund":true,"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":[0.005112053,0.0003368772,0.0003550632,0.001821865,0.009618001,0.007608951,0.002242377,0.001964124,0.002395281],"category_scores_gemma":[0.01288958,0.0002930636,0.0006658921,0.003105012,0.004720369,0.00218324,0.00251794,0.002935337,0.0001662489],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1986949,"about_ca_system_score_gemma":0.43144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959104,"about_ca_topic_score_gemma":0.9970493,"domain_scores_codex":[0.9913186,0.0007383536,0.0002211126,0.000497487,0.003264445,0.003959963],"domain_scores_gemma":[0.9920688,0.002003905,0.0003363433,0.0002417381,0.004337862,0.001011383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001812887,0.0001447199,0.03544027,0.001550426,0.0001787232,0.001148014,0.01064089,0.03200661,0.002948661,0.7081328,0.06350897,0.1441186],"study_design_scores_gemma":[0.000127081,0.0001604936,0.128843,0.002031957,0.0004072826,0.0002752227,0.03276907,0.01910627,0.006370959,0.06538222,0.744196,0.0003304291],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.383401,0.02717496,0.01196735,0.1390572,0.0006809027,0.0008983298,0.003546908,0.000288643,0.4329847],"genre_scores_gemma":[0.9568707,0.01107903,0.006548656,0.007996345,0.00006251041,0.0001073052,0.0005316852,0.00004139239,0.01676244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8013052,"threshold_uncertainty_score":0.9294004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116514425599062,"score_gpt":0.2039040967574294,"score_spread":0.1922526541975232,"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."}}