{"id":"W4410547550","doi":"10.1186/s13021-025-00302-7","title":"Evaluation of climate change mitigation strategies for Irish forests using the CBM-CFS3 model","year":2025,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HORIZON EUROPE European Research Council; Canadian Forest Service; HORIZON EUROPE Framework Programme; U.S. Forest Service","keywords":"Climate change; Irish; Climate change mitigation; Environmental science; Agroforestry; Environmental resource management; Geography; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001915678,0.001174849,0.0009184373,0.0008883051,0.0008647895,0.001175604,0.002295076,0.001347176,0.004829433],"category_scores_gemma":[0.001893267,0.0004886551,0.001721984,0.001014825,0.0006190072,0.0006860809,0.0005530257,0.001307892,0.0003916722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006875825,"about_ca_system_score_gemma":0.006025526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.407661,"about_ca_topic_score_gemma":0.2689153,"domain_scores_codex":[0.9996146,0.0001147967,0.00001403131,0.00005741233,0.00006636355,0.0001327354],"domain_scores_gemma":[0.9988154,0.0005280025,0.00007550995,0.00006054049,0.0003886024,0.0001319963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001190127,0.00004232791,0.002079225,0.00003730896,0.00003083932,0.0000410709,0.000009928644,0.995125,0.0001684802,0.0005706578,0.000698262,0.001077769],"study_design_scores_gemma":[0.0001123325,0.00008250038,0.001913679,0.00001620771,0.0000345915,0.000008461963,0.00006292833,0.9961436,0.000303369,0.0003276464,0.0009719038,0.00002269113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123983,0.0002262719,0.009212653,0.0006713806,0.0001446973,0.0004776874,0.01504973,0.0004904394,0.06132888],"genre_scores_gemma":[0.9866607,0.00008309782,0.006591713,0.00009541961,0.00001334042,0.0002547291,0.003722409,0.00004944345,0.002529222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.407661,"threshold_uncertainty_score":0.8105763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04565846224259124,"score_gpt":0.319071798568608,"score_spread":0.2734133363260167,"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."}}