{"id":"W4285588578","doi":"10.1111/csp2.12771","title":"Prioritization of public and private land to protect species at risk habitat","year":2022,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nature Conservancy of Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Easement; Habitat; Business; Incentive; Species richness; Prioritization; Opportunity cost; Land use; Environmental resource management; Protected area; Habitat conservation; Environmental planning; Natural resource economics; Ecology; Geography; Environmental science; Economics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003903941,0.00005098061,0.000101584,0.0001553587,0.000507433,0.0000783434,0.00009087104,0.00001430635,0.0001438989],"category_scores_gemma":[0.002347942,0.00006131592,0.000009072354,0.0003591111,0.0001697503,0.001015419,0.0002055219,0.00005800503,0.00002474755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481337,"about_ca_system_score_gemma":0.00003204764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001161659,"about_ca_topic_score_gemma":0.00002452282,"domain_scores_codex":[0.9992485,0.0000540072,0.0002534274,0.0002569157,0.00008084651,0.0001062865],"domain_scores_gemma":[0.9992197,0.0002048978,0.0003537619,0.0001233428,0.0000428335,0.00005546578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001918677,0.00001986349,0.9718683,0.000006750625,0.000004596352,1.579837e-7,0.0006183477,0.00006925789,0.0008310389,0.02530547,0.0001969072,0.001060143],"study_design_scores_gemma":[0.000228226,0.00009776188,0.8855717,0.000001696143,0.000004114979,0.000009891004,0.0003667464,0.001637249,0.000164027,0.002372011,0.1094612,0.00008541504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867312,0.0002813609,0.001695682,0.007253233,0.00008331046,0.0002797328,0.00004733448,0.00000721954,0.003620895],"genre_scores_gemma":[0.9965452,0.0002580996,0.00180453,0.001011569,0.00001104012,0.00003744412,0.000006378752,0.000004217098,0.000321516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1092643,"threshold_uncertainty_score":0.3902816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1668310471734889,"score_gpt":0.2634282205041903,"score_spread":0.09659717333070142,"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."}}