{"id":"W2430091159","doi":"10.5751/es-08464-210240","title":"“I know, therefore I adapt?” Complexities of individual adaptation to climate-induced forest dieback in Alaska","year":2016,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture; U.S. Forest Service; National Science Foundation","keywords":"Adaptation (eye); Climate change adaptation; Climate change; Ecology; Environmental resource management; Geography; Climate science; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004095394,0.0001220734,0.0002224304,0.00001833412,0.0001300341,0.00001152255,0.0001682714,0.0001574167,0.0006751599],"category_scores_gemma":[0.00001404855,0.00007877022,0.00005976917,0.0001023255,0.00006541639,0.0001800723,0.0002098613,0.00006978829,0.000223117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006598409,"about_ca_system_score_gemma":0.00001178689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003368961,"about_ca_topic_score_gemma":0.06184592,"domain_scores_codex":[0.9990056,0.00007165987,0.0002467685,0.0002404595,0.0001268915,0.0003086468],"domain_scores_gemma":[0.9995322,0.0001524211,0.00008924279,0.0001461849,0.000009061094,0.00007089628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004197134,0.0000907353,0.9798299,0.00004820486,0.00003946306,6.951654e-7,0.01437565,0.0002011085,0.001031976,0.0004106313,0.001645713,0.002283939],"study_design_scores_gemma":[0.0006093989,0.0001358066,0.9902362,0.00004088513,0.00001287355,0.000002691728,0.002001048,0.0001019539,0.00008822385,0.001383988,0.005243592,0.0001433143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976349,0.00003053198,0.00006215279,0.0005496669,0.0001037645,0.0001926562,0.00004238173,0.0000179547,0.001366028],"genre_scores_gemma":[0.998421,0.0001238588,0.0008888207,0.0003234792,0.0000363271,0.00002703425,0.00001825303,0.000008956892,0.0001522269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06150902,"threshold_uncertainty_score":0.955273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356279036235576,"score_gpt":0.2508861804781551,"score_spread":0.2173233901157993,"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."}}