{"id":"W2275182712","doi":"10.1111/cjag.12098","title":"Economic Analysis and Species at Risk: Lessons Learned and Future Challenges","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Endangered species; Political science; Economic analysis; Sociology; Economics; Population; Agricultural economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007360104,0.0003726054,0.001024287,0.0006846265,0.0003350442,0.0001424939,0.0003296775,0.0002209214,0.001448444],"category_scores_gemma":[0.00004883721,0.0003190638,0.0003337523,0.00007818762,0.0002814752,0.000844207,0.00006459164,0.0001925696,0.00021128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002876476,"about_ca_system_score_gemma":0.0001093792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01102878,"about_ca_topic_score_gemma":0.6651258,"domain_scores_codex":[0.9974023,0.00003815615,0.001193285,0.0006867633,0.000006687999,0.0006727905],"domain_scores_gemma":[0.9968215,0.0001380921,0.001408302,0.0003104927,0.00002759485,0.001293997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004151627,0.00001374378,0.7404739,0.00002739219,0.001718925,0.00001472719,0.001950308,0.000699817,0.00003290208,0.2388267,0.0007236041,0.01547642],"study_design_scores_gemma":[0.0008844589,0.0001583841,0.9273229,0.0000155713,0.0001746221,0.0001519869,0.001053824,0.00005815357,0.00003093278,0.01030904,0.05933043,0.0005096829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665635,0.005235066,0.00001417026,0.02330445,0.0008734026,0.0001489892,0.001088959,0.000007624593,0.002763817],"genre_scores_gemma":[0.9712837,0.02557566,0.0001546236,0.0001136848,0.0009293733,0.000008674427,0.00002473026,0.00002995235,0.001879551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.654097,"threshold_uncertainty_score":0.9999261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07610656014866732,"score_gpt":0.1761850988627826,"score_spread":0.1000785387141153,"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."}}