{"id":"W2901707827","doi":"10.1093/ajae/aay076","title":"Spatial Renewable Resource Extraction under Possible Regime Shift","year":2018,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; European Association of Environmental and Resource Economists; University of California, Santa Barbara; Agence Nationale de la Recherche; University of Alberta","keywords":"Resource (disambiguation); Renewable energy; Extraction (chemistry); Computer science; Renewable resource; Natural resource economics; Engineering; Computer network; Electrical engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001097704,0.0002041432,0.0004936718,0.0002534496,0.0003995619,0.001365252,0.0004904557,0.001226598,0.004202857],"category_scores_gemma":[0.004752353,0.0002158498,0.0005633445,0.0002172103,0.001448203,0.001495977,0.001208167,0.0007105407,0.0002105678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009787855,"about_ca_system_score_gemma":0.0003579603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046933,"about_ca_topic_score_gemma":0.001731205,"domain_scores_codex":[0.9995553,0.0001369781,0.0000201143,0.00008659186,0.00004271276,0.0001583709],"domain_scores_gemma":[0.9980633,0.0007117101,0.0007305548,0.0001964033,0.00009970071,0.0001983557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003155658,0.0001439032,0.03243675,0.0001317305,0.0001593629,0.001404187,0.0002953178,0.57351,0.01054808,0.3685856,0.002035183,0.01043445],"study_design_scores_gemma":[0.00006693331,0.0002829653,0.0179848,0.00003767804,0.00005665505,0.0003286953,0.0009502592,0.638099,0.001325163,0.3380761,0.002730999,0.00006069244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466047,0.0001148062,0.03226084,0.001852951,0.00003219096,0.00002775755,0.0001723209,0.00004931485,0.01888517],"genre_scores_gemma":[0.9989833,0.0000275692,0.000351512,0.00003179348,0.000004882788,0.000004936281,0.000008796036,0.000001977257,0.0005850465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004202857,"threshold_uncertainty_score":0.0140599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004233057124632696,"score_gpt":0.1977707814241597,"score_spread":0.193537724299527,"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."}}