{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004881376,0.00006504517,0.00005562791,0.00007145523,0.0001772048,0.00005839012,0.0001880751,0.00001327729,0.000557621],"category_scores_gemma":[0.000003088657,0.00005760846,0.00001487708,0.0005628262,0.0005940223,0.0003039925,0.0004648048,0.00004598215,0.0001560515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004754334,"about_ca_system_score_gemma":0.00000217402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007983506,"about_ca_topic_score_gemma":0.00000285224,"domain_scores_codex":[0.9991444,0.00001136646,0.0001035864,0.0003076191,0.0002572288,0.0001757479],"domain_scores_gemma":[0.9998291,0.00001349215,0.00002241276,0.00009987009,0.000002707832,0.00003247562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000207402,0.00006555738,0.7775291,0.0003141092,0.00006959456,0.0001436315,0.0006291452,0.006042291,0.001717712,0.1388842,0.002170399,0.0724135],"study_design_scores_gemma":[0.00008494213,0.00004052936,0.9739351,0.00004671716,0.00002570798,0.000002418842,0.0004297396,0.006763001,0.0002783461,0.0006274294,0.01767577,0.00009030809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8405972,0.00006306412,0.001687218,0.0005269834,0.0001295789,0.0001519791,2.781005e-7,0.00005234827,0.1567913],"genre_scores_gemma":[0.979457,0.0002867056,0.005005467,0.00006161362,0.000006105595,0.00001332806,6.067789e-7,0.000003443995,0.01516575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1964059,"threshold_uncertainty_score":0.6105559,"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."}}