{"id":"W4328054242","doi":"10.1002/ecs2.4449","title":"Spatial Bayesian models project shifts in suitable habitat for Pacific Northwest tree species under climate change","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge Institute for Science and Education; U.S. Forest Service; Oak Ridge Associated Universities; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Habitat; Climate change; Range (aeronautics); Ecology; Environmental science; Geography; Physical geography; Representative Concentration Pathways; Understory; Global change; Temperate rainforest; Ecosystem; Climate model; 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":["insufficient_payload"],"category_scores_codex":[0.0002491086,0.0002088865,0.0002180056,0.0000364704,0.000186991,0.00008151118,0.0002276891,0.0001115721,0.01924713],"category_scores_gemma":[0.000016123,0.0002008134,0.0001006445,0.0005951526,0.00009105666,0.0004113321,0.0001811007,0.0001049659,0.002893761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004937708,"about_ca_system_score_gemma":0.00001174853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783901,"about_ca_topic_score_gemma":0.196453,"domain_scores_codex":[0.9982762,0.00003239483,0.0002475485,0.0004329346,0.0002559778,0.000754946],"domain_scores_gemma":[0.9995082,0.00005940682,0.00006881079,0.0002626539,0.000009998445,0.00009091049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005232965,0.0011889,0.189082,0.0003206313,0.0000519932,0.0001053608,0.008318547,0.002398607,0.001169774,0.01984359,0.7525618,0.02443552],"study_design_scores_gemma":[0.00133162,0.0001990199,0.9277979,0.00004340626,0.00001458268,0.000002029285,0.01461922,0.01784223,0.0001186134,0.002986497,0.03449271,0.0005521479],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7170542,0.00007692712,0.0003249959,0.002100791,0.0004168566,0.001398167,0.001122806,0.0002748004,0.2772305],"genre_scores_gemma":[0.9962453,0.0003073519,0.00008416461,0.0001846242,0.00009599281,0.0004851593,0.000469636,0.00003748604,0.002090249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7387159,"threshold_uncertainty_score":0.9978826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05745564393132108,"score_gpt":0.2619291482811535,"score_spread":0.2044735043498325,"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."}}