{"id":"W4400651782","doi":"10.1080/13880292.2024.2375862","title":"Biodiversity Offset Mechanisms and Compensation for Loss from Exceptional to Popular: Rediscovering Environmental Law","year":2024,"lang":"en","type":"article","venue":"Journal of International Wildlife Law & Policy","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Biodiversity; Environmental law; Compensation (psychology); Offset (computer science); Environmental resource management; Environmental science; Law; Geography; Environmental protection; Environmental ethics; Ecology; Political science; Biology; Psychology; Computer science; Social psychology","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":[0.01615533,0.0004631596,0.00051967,0.002033385,0.005124089,0.01265442,0.002280252,0.007999641,0.004852059],"category_scores_gemma":[0.02911549,0.0003423202,0.0005988174,0.00119726,0.04021705,0.01421666,0.01097071,0.008851638,0.0006021524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00667363,"about_ca_system_score_gemma":0.008158783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006674853,"about_ca_topic_score_gemma":0.007002211,"domain_scores_codex":[0.9862072,0.00444427,0.0005790576,0.001905544,0.004752256,0.002111642],"domain_scores_gemma":[0.9862835,0.007259004,0.001324978,0.002564981,0.001716192,0.0008512294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004765352,0.000007259574,0.0002496436,0.00001162837,0.00000280113,0.00003511085,0.001015509,0.000154505,0.0000781417,0.9903213,0.001726886,0.00639258],"study_design_scores_gemma":[0.00002043572,0.00004222294,0.001281043,0.0002917083,0.00002335981,0.0001540234,0.002152635,0.001226744,0.0007773549,0.8196841,0.1742911,0.00005534994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07668205,0.007236049,0.05003072,0.1140795,0.001913343,0.00007190176,0.0000542772,0.0003307979,0.7496014],"genre_scores_gemma":[0.9363757,0.001552801,0.0060606,0.01942707,0.0007585167,0.00007568825,0.00003043198,0.0001534571,0.03556572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01615533,"threshold_uncertainty_score":0.08543861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249357798604986,"score_gpt":0.2490362436343403,"score_spread":0.2365426656482904,"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."}}