{"id":"W6920322327","doi":"10.60692/h7d4v-v8556","title":"Assessing ecological infrastructure investments","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; University of Alberta","funders":"","keywords":"Ecosystem services; Ecosystem valuation; Payment; Investment (military); Ecosystem; Payment for ecosystem services; Ecological economics; Service (business)","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":[0.002370582,0.0005074663,0.0002335365,0.002677407,0.0003407121,0.001604908,0.0005842914,0.0005744239,0.005157558],"category_scores_gemma":[0.01148117,0.0001864409,0.0003320182,0.002309974,0.0003610474,0.003039037,0.001071713,0.0006756877,0.0004998132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004307835,"about_ca_system_score_gemma":0.00200793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02181224,"about_ca_topic_score_gemma":0.03559307,"domain_scores_codex":[0.9985165,0.0004412199,0.00007094302,0.0001421878,0.0006913939,0.0001377536],"domain_scores_gemma":[0.9933472,0.002742453,0.001349947,0.0003628356,0.001798596,0.0003990431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002073411,0.0006630108,0.5288431,0.0002201687,0.0002464505,0.0002464933,0.0005947584,0.2775144,0.003065679,0.0434464,0.00749005,0.1374621],"study_design_scores_gemma":[0.00003491751,0.0007547284,0.3730473,0.00007901592,0.00009743003,0.0001154863,0.001917198,0.5786699,0.004918658,0.02108997,0.01918874,0.00008667647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291628,0.0002049294,0.01539143,0.0005193323,0.00001644207,0.0002700632,0.004081743,0.00009657064,0.05025673],"genre_scores_gemma":[0.9894792,0.0001289892,0.006619138,0.00002305164,0.000007730268,0.0000594049,0.001247582,0.00001308711,0.002421748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02181224,"threshold_uncertainty_score":0.04337054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750679343858247,"score_gpt":0.2030117583712225,"score_spread":0.18550496493264,"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."}}