{"id":"W4226310353","doi":"10.1186/s13595-022-01135-x","title":"Managing forest risks in uncertain times of climate change","year":2022,"lang":"en","type":"article","venue":"Annals of Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Albert-Ludwigs-Universität Freiburg","keywords":"Climate change; Abiotic component; Key (lock); Forest management; Time horizon; Environmental resource management; Business; Environmental science; Agroforestry; Ecology; Biology","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":[],"category_scores_codex":[0.001416853,0.0001069235,0.0001601555,0.0002921014,0.0002163555,0.00001605559,0.0008944793,0.00001478797,0.001607972],"category_scores_gemma":[0.00004632992,0.0001037848,0.00005655613,0.001647064,0.000807464,0.0005111432,0.001164949,0.00009657896,0.00007992504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004343581,"about_ca_system_score_gemma":0.00001526014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006512609,"about_ca_topic_score_gemma":0.0007361867,"domain_scores_codex":[0.9981992,0.00004027291,0.0002789244,0.0002963392,0.0006719391,0.0005133725],"domain_scores_gemma":[0.9993629,0.00003652329,0.0001915956,0.0003266382,0.00001125579,0.00007109497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000300144,0.0001048458,0.8820958,0.0000301676,0.000002418546,0.000009644454,0.000983539,0.08062401,0.0001268079,0.02500088,0.001159259,0.009832626],"study_design_scores_gemma":[0.0002317352,0.0002703754,0.931618,0.00003276745,0.000005073961,0.000002347216,0.0001882319,0.04291398,0.0002812684,0.01949788,0.004753741,0.0002046576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9354903,0.00006259109,0.000004756161,0.001286248,0.00008355592,0.0002569324,0.00001514337,0.00001366183,0.06278678],"genre_scores_gemma":[0.9988902,0.0002013822,0.000158671,0.0004167428,0.00001460903,0.00004402227,0.000003210109,0.000007350171,0.0002637914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06339989,"threshold_uncertainty_score":0.9993047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08552522277889077,"score_gpt":0.3412714501797646,"score_spread":0.2557462274008738,"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."}}