{"id":"W2105937776","doi":"10.5558/tfc79223-2","title":"Historic range of variability of mountain forest ecosystems: concepts and applications","year":2003,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disturbance (geology); Ecosystem; Range (aeronautics); Forest ecology; Ecology; Geography; Mountain range (options); Historical ecology; Ecosystem management; Resource (disambiguation); Environmental resource management; Key (lock); 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":[0.00073301,0.00007914676,0.0001562571,0.00002477877,0.00008496862,0.000007554861,0.0001706703,0.00004305034,0.000284757],"category_scores_gemma":[0.0001138045,0.00005543005,0.0000348425,0.0001546907,0.0002443866,0.00006962502,0.000009854178,0.00006362941,0.0000154824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001932853,"about_ca_system_score_gemma":0.00009940565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580552,"about_ca_topic_score_gemma":0.002844092,"domain_scores_codex":[0.9991396,0.0002014538,0.0002266311,0.0001383859,0.0001309316,0.0001629608],"domain_scores_gemma":[0.9988455,0.0006172201,0.000129104,0.0003288876,0.00003099567,0.0000483367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003165193,0.00002235841,0.9920199,0.0001292214,0.0000120026,4.040507e-7,0.0001267994,0.001318402,0.00008816381,0.004689412,0.00005499232,0.001506708],"study_design_scores_gemma":[0.0004791191,0.0001214581,0.9819171,0.00002465199,0.00002975959,0.00002051857,0.0001857979,0.002943849,0.00053698,0.004111717,0.009520763,0.0001082918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937602,0.002231858,0.0003006148,0.00002899084,0.00005080768,0.0003034358,0.0001117117,0.00001776604,0.003194631],"genre_scores_gemma":[0.9997162,0.00005030226,0.0001276507,0.000006681099,0.00002572466,0.000006339317,0.000008089401,0.000003033736,0.00005600188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010279,"threshold_uncertainty_score":0.3117889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373415798050675,"score_gpt":0.2381180196988025,"score_spread":0.2243838617182957,"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."}}