{"id":"W2172906158","doi":"10.1650/0010-5422(2001)103[0701:lcafeo]2.0.co;2","title":"Landscape Context and Fragmentation Effects on Forest Birds in Southern Ontario","year":2001,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Birds Canada","funders":"","keywords":"Forest fragmentation; Forest cover; Geography; Old-growth forest; Context (archaeology); Generalist and specialist species; Ecology; Fragmentation (computing); Forestry; Agroforestry; Biodiversity; Habitat; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001710518,0.0001142789,0.0001277835,0.00003376465,0.00009136488,0.00002484561,0.0001107843,0.00008590066,0.0006479706],"category_scores_gemma":[0.00002205896,0.00008904604,0.00002181541,0.0001991467,0.00007012729,0.00005686085,0.00005578023,0.0001479896,0.002131935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001272976,"about_ca_system_score_gemma":0.000003874367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001889891,"about_ca_topic_score_gemma":0.09918181,"domain_scores_codex":[0.99916,0.00006621299,0.0001459874,0.0003129358,0.0001328171,0.0001820682],"domain_scores_gemma":[0.9994833,0.0002082489,0.00004947731,0.0001815087,0.000003389376,0.00007401969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001782528,0.0001020528,0.9681495,0.000003912334,0.000001729984,0.000009912381,0.0003584456,0.00007507338,0.0005316651,0.00007604606,0.0001214228,0.03055239],"study_design_scores_gemma":[0.0004449363,0.0001429432,0.9899286,0.00001099322,0.000005002317,0.00001866135,0.0001374827,0.0001246258,0.00005985277,0.0007925861,0.008214664,0.0001196522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893428,0.00001761379,0.0007675919,0.0002730399,0.00001989332,0.0007573016,0.000003695831,0.00005881484,0.008759257],"genre_scores_gemma":[0.9977062,0.000005286649,0.0002856094,0.0003812182,0.00002553105,0.0007038949,0.00001431361,0.000009322725,0.0008686094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09729192,"threshold_uncertainty_score":0.998645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008385577089727234,"score_gpt":0.2182439993192042,"score_spread":0.209858422229477,"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."}}