{"id":"W4224913921","doi":"10.1002/ecs2.4016","title":"Integrating historical observations alters projections of eastern North American spruce–fir habitat under climate change","year":2022,"lang":"en","type":"article","venue":"Ecosphere","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; National Aeronautics and Space Administration","keywords":"Climate change; Ecology; Abundance (ecology); Species distribution; Range (aeronautics); Habitat; Precipitation; Geography; Disturbance (geology); Environmental science; Physical geography; Ecosystem; Climatology; Biology; Geology","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":[0.00009297235,0.0001214315,0.0001592853,0.00001686825,0.0003903738,0.00001573901,0.0002076779,0.00001470346,0.0353853],"category_scores_gemma":[0.00001765145,0.0001231169,0.0000880387,0.0007080752,0.0001023073,0.0001547532,0.0002947507,0.000167382,0.0005099062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002060595,"about_ca_system_score_gemma":0.00001018735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003445246,"about_ca_topic_score_gemma":0.02554225,"domain_scores_codex":[0.9988832,0.00005988096,0.0002387071,0.0002496461,0.0002872147,0.0002813764],"domain_scores_gemma":[0.9994883,0.00002960065,0.0001832237,0.0002068169,0.00001303174,0.00007906192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002629715,0.0003985353,0.9076108,0.00001686683,0.00001813868,0.000004859591,0.001497571,0.000436185,0.0004447019,0.0010312,0.08283529,0.005679531],"study_design_scores_gemma":[0.0001809207,0.0001983075,0.9348801,0.000004065285,0.00001550224,0.000004170239,0.01217928,0.0009202459,0.00002008388,0.00002197749,0.05139344,0.0001819291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665999,0.00003395451,0.0001002281,0.001248221,0.0003085834,0.00024027,0.0001426517,0.00006494863,0.03126118],"genre_scores_gemma":[0.9975877,0.00002963997,0.0003566223,0.0005400676,0.00003753244,0.0002376225,0.0001028419,0.00001691963,0.00109105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03487539,"threshold_uncertainty_score":0.9922391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06140992601221593,"score_gpt":0.2523646415643268,"score_spread":0.1909547155521109,"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."}}