{"id":"W4402585720","doi":"10.1287/mnsc.2023.01753","title":"Optimal Learning and Management of Threatened Species","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Threatened species; Computer science; Natural resource economics; Business; Economics; Ecology; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001647771,0.0006608208,0.001125746,0.0007204844,0.0004937057,0.001334045,0.001232237,0.001543823,0.004294035],"category_scores_gemma":[0.008038893,0.0005506778,0.0004763631,0.0004498852,0.001467047,0.001716572,0.001448846,0.001411311,0.0003039446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877716,"about_ca_system_score_gemma":0.002291922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007502823,"about_ca_topic_score_gemma":0.006447269,"domain_scores_codex":[0.9993536,0.0002630854,0.00002700879,0.0001435951,0.0000725405,0.0001401407],"domain_scores_gemma":[0.9972507,0.001854299,0.0003801914,0.00008412969,0.0001990785,0.0002315027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006086424,0.00005005945,0.001189227,0.00007133614,0.0000268763,0.00003674126,0.00005039355,0.9622426,0.0002466112,0.0182428,0.001342278,0.01644026],"study_design_scores_gemma":[0.00001937631,0.00002821652,0.0002394227,0.00001847184,0.00000795363,0.000007810154,0.00002388652,0.9739387,0.0001104826,0.02509859,0.0005009222,0.000006281725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.206033,0.001686586,0.7677956,0.005262356,0.0001506439,0.0001817633,0.0004365899,0.0005427605,0.0179108],"genre_scores_gemma":[0.965127,0.0006144858,0.03055034,0.0002149241,0.00005892785,0.0001194103,0.0001583409,0.0000487441,0.003107801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007502823,"threshold_uncertainty_score":0.01491833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085092498363033,"score_gpt":0.2277017010009189,"score_spread":0.2168507760172886,"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."}}