{"id":"W3182817918","doi":"10.3390/ani11072037","title":"Response of Reeves’s Pheasants Distribution to Human Infrastructure in the Dabie Mountains over the Last 20 Years","year":2021,"lang":"en","type":"article","venue":"Animals","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; National Natural Science Foundation of China","keywords":"Pheasant; IUCN Red List; Endangered species; Geography; Critically endangered; Habitat destruction; Ecology; Range (aeronautics); Habitat; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003585362,0.00005793067,0.00006372315,0.00001235801,0.00008887709,0.00003141844,0.0001710518,0.00003163777,0.000926849],"category_scores_gemma":[0.000133716,0.00003885987,0.00003092045,0.00034112,0.00005560286,0.0001076004,0.00008560929,0.00009531005,0.00005485319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009145422,"about_ca_system_score_gemma":0.00001640168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000338736,"about_ca_topic_score_gemma":0.001129344,"domain_scores_codex":[0.9992214,0.000187563,0.0001550063,0.0001348711,0.0001892953,0.0001118307],"domain_scores_gemma":[0.9995863,0.00009071013,0.00004996207,0.0002417253,0.00001138414,0.00001985142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001884999,0.00009245353,0.5844056,0.00000235358,0.00001105647,0.00001727854,0.002136702,0.000419686,0.3359632,0.001050619,0.07398994,0.001722554],"study_design_scores_gemma":[0.00009090648,0.00004641743,0.9524214,0.000009604722,0.000004326402,0.000006552146,0.000677012,0.00003556758,0.001625697,0.0002365242,0.04480101,0.00004500914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972655,0.000008031278,0.00003120906,0.001881804,0.0000334028,0.0001126834,0.00004515431,0.000004741383,0.0006175254],"genre_scores_gemma":[0.9985731,0.000002728299,0.0000416832,0.001150266,0.00002058187,0.00001267397,0.00001892021,0.000004002503,0.0001760311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3680157,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115428639181552,"score_gpt":0.2706250174537561,"score_spread":0.2590821535356009,"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."}}