{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000181049,0.0002330077,0.0002964104,0.0001696887,0.001791454,0.0004550102,0.000122772,0.0002315735,0.0008282127],"category_scores_gemma":[0.0001078071,0.0002766991,0.0000346666,0.0005134123,0.00007730896,0.0003345672,0.0001444965,0.0001811296,0.000005365054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004329065,"about_ca_system_score_gemma":0.00009252573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7688977,"about_ca_topic_score_gemma":0.5991948,"domain_scores_codex":[0.9984307,0.0001439447,0.0001646702,0.0005839726,0.0002829682,0.0003937453],"domain_scores_gemma":[0.9990046,0.0001889992,0.0001401315,0.0002010121,0.00003386685,0.0004314158],"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":[0.0001906034,0.00002492118,0.00003600198,0.00006844652,0.00002591751,0.00001718282,0.04118152,0.00000167326,0.0008684419,0.00006929647,0.9535396,0.003976431],"study_design_scores_gemma":[0.0002337417,0.0001322112,0.0002657924,0.0003513934,0.0000936147,0.00000331146,0.003772547,0.00003159976,0.00007840221,0.00009068575,0.9945784,0.0003683113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1966233,0.0005471116,0.000007217353,0.01326693,0.0006059555,0.0004185712,0.7882295,0.00001993775,0.0002815331],"genre_scores_gemma":[0.07192707,0.08143458,0.001993351,0.2286963,0.01258822,0.002130599,0.5866687,0.0004678949,0.01409323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2154294,"threshold_uncertainty_score":0.9999685,"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."}}