{"id":"W4394805709","doi":"10.1371/journal.pclm.0000293","title":"Are forest management practices to improve carbon balance compatible with maintaining bird diversity under climate change? A case study in Eastern North America","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Environment and Climate Change Canada; University of Alberta; Natural Resources Canada; Université Laval; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal; Canadian Forest Service","funders":"Ministère des Forêts, de la Faune et des Parcs","keywords":"Climate change; Forest management; Biodiversity; Forest ecology; Deciduous; Taiga; Geography; Environmental science; Ecology; Sustainable forest management; Agroforestry; Vegetation (pathology); Forest restoration; Ecosystem; Forestry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004485216,0.0002652821,0.000170208,0.0003755761,0.001794116,0.0006770574,0.0006430862,0.0005884385,0.0006875903],"category_scores_gemma":[0.0007259789,0.0001137858,0.0002069573,0.001176454,0.0006538642,0.0004336166,0.0003193975,0.000317985,0.00004199792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007311644,"about_ca_system_score_gemma":0.002742166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7886717,"about_ca_topic_score_gemma":0.9458178,"domain_scores_codex":[0.9997155,0.0001039016,0.000007968218,0.00004088582,0.00003743459,0.00009422083],"domain_scores_gemma":[0.9994581,0.0001462191,0.00009957817,0.00003010037,0.0001592401,0.0001066689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000264574,0.0007588394,0.8989182,0.0002760896,0.000173618,0.01335841,0.01381745,0.01511923,0.006250656,0.001396277,0.003341211,0.04632543],"study_design_scores_gemma":[0.00002460565,0.000210217,0.9567809,0.00005879194,0.00005645238,0.0007184778,0.02751243,0.007791877,0.0004410464,0.0002800135,0.006093884,0.00003128909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979996,0.0001847513,0.0001299909,0.0001945264,0.000001818257,0.0000312198,0.00008133247,0.000004299362,0.001372398],"genre_scores_gemma":[0.9981894,0.0002410064,0.0007409746,0.00007339109,0.000002894839,0.00002232639,0.00007858659,0.000001954484,0.0006495957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7886717,"threshold_uncertainty_score":0.4251456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07181816008998092,"score_gpt":0.2878088509450122,"score_spread":0.2159906908550313,"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."}}