{"id":"W4405570410","doi":"10.1111/cobi.14433","title":"Conservation and coexistence at a crossroads","year":2024,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002645587,0.000119066,0.0001051003,0.00005625279,0.0002939432,0.00006853432,0.0001184089,0.00009587577,0.001292981],"category_scores_gemma":[0.00005693,0.0001071987,0.00003331399,0.000264935,0.0005194561,0.0001374057,0.0003330753,0.00006977591,0.0005873069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337858,"about_ca_system_score_gemma":0.00001375147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009218263,"about_ca_topic_score_gemma":0.0006060568,"domain_scores_codex":[0.9990879,0.00006475786,0.0001852044,0.0003819266,0.00009810587,0.0001821075],"domain_scores_gemma":[0.9995797,0.0001334982,0.00004826693,0.0001619994,0.00001721684,0.00005927916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001831444,0.00001188763,0.9735281,0.00002512164,0.00001564692,0.00000582548,0.0004915642,0.000006376024,0.005760638,0.00101562,0.01544037,0.003680477],"study_design_scores_gemma":[0.0001323771,0.00003376664,0.5349213,0.000009464928,0.00001323246,0.000009000099,0.00006464752,0.00406433,0.000116145,0.0006614343,0.4598707,0.0001035845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784179,0.000339838,0.0005578838,0.01424624,0.000265411,0.0002108041,0.0000162841,0.000138629,0.005806952],"genre_scores_gemma":[0.9841499,0.0001543525,0.0004912661,0.006287524,0.00004047717,0.00002052101,0.00009003225,0.00000827557,0.00875761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4444304,"threshold_uncertainty_score":0.99962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056302281630704,"score_gpt":0.2414490860067257,"score_spread":0.2208860631904186,"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."}}