{"id":"W2065557632","doi":"10.1007/s002670010135","title":"Ecological Compensation in Dutch Highway Planning","year":2001,"lang":"en","type":"article","venue":"Environmental Management","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Compensation (psychology); Context (archaeology); Nature Conservation; Environmental resource management; Process (computing); Government (linguistics); Legitimacy; Order (exchange); Business; Environmental planning; Ecology; Risk analysis (engineering); Computer science; Environmental science; Geography; Political science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002099646,0.0001848311,0.0002837516,0.001183646,0.001058172,0.001738287,0.0007821159,0.0008472606,0.01008328],"category_scores_gemma":[0.01066381,0.0002166407,0.0001766912,0.002354885,0.001219271,0.001338769,0.0008821986,0.000617629,0.0002525811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009457338,"about_ca_system_score_gemma":0.007107074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2678037,"about_ca_topic_score_gemma":0.465404,"domain_scores_codex":[0.9976435,0.001144334,0.0001025418,0.000124916,0.0003403388,0.0006442538],"domain_scores_gemma":[0.9979416,0.0008194723,0.0002453329,0.0000973412,0.0005396889,0.0003566091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004624541,0.0003778863,0.1574739,0.0003485722,0.0001520242,0.000980507,0.006906902,0.09911139,0.0006342113,0.4638619,0.0343345,0.2353558],"study_design_scores_gemma":[0.0001591309,0.0002622095,0.4346679,0.0005565424,0.0003074231,0.001136484,0.02726967,0.1049839,0.001107653,0.204107,0.2253168,0.0001254773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7054096,0.006074709,0.008801823,0.009265476,0.0002773878,0.0001331212,0.0008626286,0.00003778904,0.2691375],"genre_scores_gemma":[0.981245,0.0005059624,0.0007363752,0.0000940079,0.0000244605,0.00002337283,0.0001557222,0.00001021605,0.01720495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2678037,"threshold_uncertainty_score":0.5324898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544300060982139,"score_gpt":0.2185841363510489,"score_spread":0.2031411357412275,"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."}}