{"id":"W4311548487","doi":"10.1163/9789004322714_cclc_2021-0051-228","title":"DRAWING FROM DESPOTS: How Alberta Is Using Tactics Borrowed From Russia, Kuwait And Others To Try To Silence Opposition To Oil And Gas Expansion","year":2022,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Silence; Opposition (politics); Crude oil; Political science; Economy; Economics; Petroleum engineering; Engineering; Law; Art; Aesthetics; 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":[0.001022779,0.001080201,0.0004823671,0.003726903,0.001918617,0.002751702,0.002308784,0.002009745,0.03801246],"category_scores_gemma":[0.005991685,0.0005972398,0.0007248821,0.007292098,0.0005874287,0.001131685,0.001791962,0.00208665,0.02371994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005635481,"about_ca_system_score_gemma":0.009074342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8122806,"about_ca_topic_score_gemma":0.9244912,"domain_scores_codex":[0.9992862,0.0001135694,0.00003463434,0.0001054719,0.0002558946,0.0002041686],"domain_scores_gemma":[0.9969061,0.0007383305,0.0002054337,0.000440357,0.00131129,0.0003983857],"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":[0.00004999493,0.00003268707,0.005868179,0.0002233683,0.00002017083,0.00003728512,0.0003907359,0.000431775,0.00006765236,0.001404653,0.988171,0.003302487],"study_design_scores_gemma":[0.000166482,0.00001588109,0.04872778,0.0004375989,0.00004159067,0.00004268165,0.002789812,0.00125471,0.0003710622,0.002005739,0.9440882,0.00005842118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002567916,0.0001052216,0.0001111991,0.0004032605,0.00003968157,0.00003457482,0.9914222,0.0001872999,0.005128533],"genre_scores_gemma":[0.005788307,0.00009643819,0.0006117735,0.0001570149,0.000009834481,0.0001655093,0.9858828,0.00008509432,0.007203196],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1877194,"threshold_uncertainty_score":0.3776498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05228355582470945,"score_gpt":0.2975381197624954,"score_spread":0.2452545639377859,"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."}}