{"id":"W7061851599","doi":"","title":"Regulatory Capture and the Role of Academics in Public Policymaking: Lessons from Canada's Environmental Regulatory Review Process","year":2019,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Government (linguistics); Public policy; Work (physics); Public participation","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":[0.05959586,0.0006359012,0.001397392,0.004897847,0.05083122,0.03586924,0.00539011,0.02671249,0.01226773],"category_scores_gemma":[0.1283004,0.0009508432,0.001356513,0.006346276,0.03330929,0.008517434,0.01084191,0.02453425,0.0007259654],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2351052,"about_ca_system_score_gemma":0.5620654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804292,"about_ca_topic_score_gemma":0.9902971,"domain_scores_codex":[0.9349639,0.01353844,0.001343728,0.003972035,0.02257881,0.02360298],"domain_scores_gemma":[0.7672065,0.1290468,0.005990163,0.004077244,0.05846498,0.03521433],"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":[0.0001368115,0.0002291268,0.009799058,0.0001522656,0.0001179026,0.0004911207,0.01429949,0.001841803,0.0003863151,0.8065299,0.1434857,0.02253053],"study_design_scores_gemma":[0.0006433222,0.0001388851,0.03448589,0.0008610646,0.000299075,0.0001539449,0.0470455,0.00490059,0.001447724,0.2278272,0.681609,0.0005879042],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04954256,0.003629634,0.003187186,0.7460862,0.0008948901,0.0002546282,0.0003636329,0.0000952126,0.1959459],"genre_scores_gemma":[0.7594898,0.002245734,0.002097869,0.1802965,0.0007119129,0.0002133349,0.0001335478,0.000114375,0.05469702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7648948,"threshold_uncertainty_score":0.8871696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009720408151231609,"score_gpt":0.243227144114828,"score_spread":0.2335067359635964,"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."}}