{"id":"W2122993660","doi":"10.1371/journal.pone.0138334","title":"A World at Risk: Aggregating Development Trends to Forecast Global Habitat Conversion","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Sight Research UK; Nature Conservancy; Robertson Foundation; University of Minnesota","keywords":"Geography; Habitat; Biome; Population; Natural resource; Urbanization; Environmental protection; Coal; Natural resource economics; Ecology; Ecosystem; Biology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001934747,0.0001068651,0.0001409932,0.00002676598,0.000143291,0.00002616415,0.0001632927,0.00002870955,0.0009207092],"category_scores_gemma":[0.00001648124,0.00008629888,0.00002176919,0.0003258807,0.000007263076,0.0001401119,0.0003421135,0.00003965466,0.004690966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005753745,"about_ca_system_score_gemma":0.000008405045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004306358,"about_ca_topic_score_gemma":0.0357017,"domain_scores_codex":[0.9989115,0.00002667466,0.0001602718,0.0002356293,0.0004076198,0.0002582884],"domain_scores_gemma":[0.9994748,0.00001480843,0.00007788398,0.0001505937,0.000009159213,0.0002727747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004445586,0.0001818674,0.9906914,0.00001940259,0.00003441775,0.000005365872,0.0009266143,0.0001273184,0.0001598407,9.886678e-7,0.002210586,0.005597729],"study_design_scores_gemma":[0.003252301,0.0005043526,0.8780478,0.0008182221,0.000223794,0.00001134722,0.000619346,0.01424955,0.0464576,0.0001732806,0.0543786,0.001263824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809378,0.00002849597,0.000008691311,0.0002425668,0.0000525817,0.0001005369,0.00001071567,0.00004670702,0.01857193],"genre_scores_gemma":[0.9927186,0.00000232397,0.005535935,0.0001858699,0.00004228362,0.00001796077,0.00001347104,0.000007556411,0.001475976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1126436,"threshold_uncertainty_score":0.9999926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04425702933826547,"score_gpt":0.2177532015897495,"score_spread":0.173496172251484,"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."}}