{"id":"W2897519375","doi":"10.1007/s10980-018-0718-9","title":"Loss and fragmentation of mature woodland reduce the habitat niche breadth of forest birds","year":2018,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; Bird Studies Canada; Université de Moncton","keywords":"Habitat; Fragmentation (computing); Habitat fragmentation; Niche; Ecology; Woodland; Landscape ecology; Habitat destruction; Ecological niche; Abundance (ecology); Landscape connectivity; Geography; Generalist and specialist species; Biology; Biological dispersal; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001997969,0.00006161765,0.0001129834,0.00001935605,0.0000793455,0.000003248341,0.0001113965,0.0001101346,0.0006770518],"category_scores_gemma":[0.00004465436,0.00004225294,0.00001775308,0.0001101201,0.0004444968,0.00006602632,0.00007351706,0.00006916021,0.00003971729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001060932,"about_ca_system_score_gemma":0.00001059085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004817043,"about_ca_topic_score_gemma":0.005700422,"domain_scores_codex":[0.9994654,0.00006616428,0.0001514054,0.0001333269,0.0000652707,0.0001184202],"domain_scores_gemma":[0.9995583,0.000148971,0.0001237528,0.0001336548,0.00001422824,0.00002106702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005573155,0.00003108273,0.9920905,0.000006224358,0.00001240928,7.582007e-7,0.0004480695,0.00002561883,0.0005810832,0.0002094877,0.00623395,0.0003050466],"study_design_scores_gemma":[0.0003516713,0.0002395568,0.9966024,0.000003205896,0.00001867213,0.0000157592,0.0001277244,0.0002631128,0.0004958325,0.001356656,0.0004816846,0.00004379202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995649,0.00002588934,0.00002455768,0.001818638,0.0001846847,0.0001247895,0.000004800176,0.000007346699,0.002160322],"genre_scores_gemma":[0.999027,0.00001825681,0.0001828682,0.0004583,0.00005217417,0.00001104254,0.00000720558,0.000004634119,0.0002385928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005752265,"threshold_uncertainty_score":0.7413243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006336962830065514,"score_gpt":0.2225472235960893,"score_spread":0.2162102607660238,"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."}}