{"id":"W1863553207","doi":"10.7717/peerj.1185","title":"Effects of disputes and easement violations on the cost-effectiveness of land conservation","year":2015,"lang":"en","type":"article","venue":"PeerJ","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Easement; Business; Investment (military); Natural resource economics; Environmental resource management; Land use; Biodiversity; Environmental planning; Economics; Geography; Ecology; Law; Political science","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":[0.02330639,0.0005629843,0.001201953,0.001467566,0.0006610933,0.003867691,0.001717384,0.002088763,0.008870949],"category_scores_gemma":[0.1230543,0.0005020378,0.001432184,0.001974844,0.003159531,0.005183031,0.002361492,0.003983309,0.0003595638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003888359,"about_ca_system_score_gemma":0.001194064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004790843,"about_ca_topic_score_gemma":0.004047712,"domain_scores_codex":[0.9898258,0.006285043,0.0006408582,0.0009486376,0.001111607,0.001188029],"domain_scores_gemma":[0.645663,0.3142855,0.02772779,0.005491163,0.003634061,0.003198422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004397981,0.001020618,0.5765187,0.0007895071,0.001848476,0.0009991942,0.0005539329,0.2796353,0.001404149,0.05877619,0.002096612,0.07195928],"study_design_scores_gemma":[0.0002469656,0.002408309,0.6629601,0.0004712669,0.001521306,0.00107573,0.002084042,0.2338313,0.002294059,0.0880814,0.004780462,0.0002450589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771308,0.002887935,0.007148479,0.001460613,0.00005286387,0.0001126306,0.0008596146,0.00002337637,0.01032372],"genre_scores_gemma":[0.998052,0.0003777198,0.0007165026,0.00005928043,0.00003052043,0.00002854126,0.000159694,0.000007387366,0.0005683345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02330639,"threshold_uncertainty_score":0.1232574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1345589047969676,"score_gpt":0.2387349997948834,"score_spread":0.1041760949979158,"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."}}