{"id":"W4298499580","doi":"","title":"Entre propriétés des écosystèmes et bénéfices pour la société : l’évaluation économique des services fournis par les écosystèmes prairiaux","year":2013,"lang":"fr","type":"preprint","venue":"Prodinra (INRA Bordeaux-Aquitaine)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prairie Women's Health Centre of Excellence","funders":"","keywords":"Valuation (finance); 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":[0.02276989,0.00163875,0.00154852,0.00434219,0.001370936,0.01165486,0.001562537,0.003971583,0.01051],"category_scores_gemma":[0.04635605,0.0006833099,0.001910646,0.004748403,0.00516766,0.01192537,0.003233794,0.003101243,0.0006495342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0117947,"about_ca_system_score_gemma":0.005718761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04141577,"about_ca_topic_score_gemma":0.04236536,"domain_scores_codex":[0.977594,0.01198929,0.0006292078,0.001634869,0.00746195,0.0006906865],"domain_scores_gemma":[0.9612653,0.03214364,0.001729484,0.0009636333,0.00297862,0.0009192839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003162719,0.001930575,0.09777504,0.001923854,0.001877783,0.0007170765,0.005592731,0.1709222,0.01181264,0.380247,0.003208084,0.3208304],"study_design_scores_gemma":[0.0006941452,0.002708949,0.1836749,0.0009878874,0.0009980669,0.0006405636,0.009187957,0.5220503,0.01185244,0.2458967,0.02088432,0.0004237761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7224342,0.008812047,0.1945856,0.01009818,0.0002008973,0.0004323934,0.000725197,0.0001113223,0.06260013],"genre_scores_gemma":[0.9544509,0.001655123,0.03694222,0.0001145122,0.0001192308,0.0002684859,0.0001697915,0.00003610146,0.006243683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04141577,"threshold_uncertainty_score":0.1204201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07334470299271198,"score_gpt":0.307312133253905,"score_spread":0.233967430261193,"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."}}