{"id":"W3034546590","doi":"","title":"Funding Environmental Projects with Regulatory Prosecutions: Transparency and Accountability in Creative Environmental Sentencing","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University; University of Calgary","funders":"","keywords":"Accountability; Transparency (behavior); Public administration; Discretion; Agency (philosophy); Legislation; Business; Enforcement; Political science; Audit; Government (linguistics); Public relations; Accounting; Law; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1308591,0.0004612973,0.0005736577,0.004214087,0.01196725,0.02049856,0.003737272,0.006326335,0.003734056],"category_scores_gemma":[0.4672287,0.0009829501,0.0006169574,0.004746936,0.02343768,0.01532048,0.01252744,0.008684853,0.0003825387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01829531,"about_ca_system_score_gemma":0.03046072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02351596,"about_ca_topic_score_gemma":0.02438319,"domain_scores_codex":[0.6721376,0.2443356,0.01084326,0.006446947,0.049372,0.0168646],"domain_scores_gemma":[0.4186294,0.4673549,0.0658379,0.02332548,0.02007045,0.004781811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002060838,0.0003034702,0.03586605,0.0003138388,0.00005894458,0.0009695125,0.1349321,0.004836017,0.0006026846,0.7005674,0.006173959,0.1151699],"study_design_scores_gemma":[0.0002070095,0.0004591927,0.08971786,0.002601966,0.0002166524,0.002413465,0.122288,0.02368664,0.004808903,0.5880628,0.1649673,0.0005703752],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4841159,0.001757992,0.1176792,0.06081444,0.00055183,0.00105457,0.00012681,0.0002620702,0.3336373],"genre_scores_gemma":[0.9892904,0.0002497386,0.005517789,0.001343516,0.0001418245,0.0002069419,0.00001769908,0.00003188931,0.003200116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308591,"threshold_uncertainty_score":0.6920571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135278680520105,"score_gpt":0.2231100490518088,"score_spread":0.2095821809997983,"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."}}