{"id":"W2170048095","doi":"10.1139/a03-011","title":"Perspectives on development of definitions and values related to old-growth forests","year":2003,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Forest ecology and management","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Minnesota Department of Natural Resources","keywords":"Ecological succession; Old-growth forest; Disturbance (geology); Secondary succession; Ecology; Natural (archaeology); Forest management; Geography; Environmental resource management; Biology; Environmental science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003747386,0.0001428654,0.0001883975,0.00003768674,0.0001460295,0.000004802811,0.00009631056,0.00004119683,0.001453319],"category_scores_gemma":[0.00009675561,0.0001219414,0.00004548944,0.00009243799,0.0001854296,0.00007028221,0.0001075732,0.00007323231,0.001956083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001616634,"about_ca_system_score_gemma":0.000002719202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002372999,"about_ca_topic_score_gemma":0.00002547051,"domain_scores_codex":[0.9989668,0.00009679037,0.0002986059,0.0003135457,0.0001442387,0.000180077],"domain_scores_gemma":[0.9996054,0.00003072242,0.00008364591,0.0001848088,3.533206e-7,0.00009508408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085221,0.004244126,0.5659149,0.000139592,0.0002488299,0.00003578905,0.04532887,0.0003130729,0.01232905,0.2667018,0.02590471,0.07873067],"study_design_scores_gemma":[0.0005220087,0.0003808356,0.8178345,0.0000779581,0.00004204483,0.000009741913,0.001272044,0.000006744521,0.003563655,0.01816971,0.1577189,0.0004019136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616684,0.00157806,0.0002837603,0.0001358574,0.00005444502,0.0007765144,0.000002433828,0.00001430166,0.03548625],"genre_scores_gemma":[0.9856622,0.002050947,0.01047828,0.0003273267,0.000002197798,0.0001045985,0.000005387492,0.00001142083,0.001357689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2519196,"threshold_uncertainty_score":0.9994595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700959422169673,"score_gpt":0.2328448627704606,"score_spread":0.2158352685487639,"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."}}