{"id":"W2942322906","doi":"10.3390/f10050364","title":"Avian Reporting Rates in Chugcheongnam Province, South Korea Depend on Distance from Forest Edge, Size of Trees, and Size of Forest Fragments","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Incheon National University","keywords":"Species richness; Abundance (ecology); Ecology; Habitat; Old-growth forest; Geography; Negative binomial distribution; Species diversity; Secondary forest; Agroforestry; Biology; Poisson distribution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003400764,0.0001491741,0.00007575168,0.0006169507,0.0002058827,0.0002638195,0.0001634011,0.0001121288,0.0008607242],"category_scores_gemma":[0.0006503791,0.0001485232,0.0001277876,0.000527152,0.0002144168,0.0002978216,0.0002805213,0.000174814,0.0000956546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003248107,"about_ca_system_score_gemma":0.000319541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03141793,"about_ca_topic_score_gemma":0.09642115,"domain_scores_codex":[0.999848,0.00003778018,0.00002490551,0.00004000919,0.00002316696,0.00002618987],"domain_scores_gemma":[0.9989054,0.0001517808,0.0006454792,0.00004920872,0.0001306008,0.0001174052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001767682,0.000006992207,0.9973294,0.00001696381,0.000009080537,0.00004592807,0.0002035803,0.00002762461,0.0003732934,0.000009023632,0.00008400076,0.001876465],"study_design_scores_gemma":[8.324063e-7,0.000008950125,0.9992433,0.000004244468,0.000005296632,0.00007132522,0.0004304411,0.00008149186,0.00005395511,0.00000408594,0.00009458685,0.00000149346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995158,0.00009475613,0.00002951245,0.00002375409,0.00000195349,0.00000338923,0.0001716115,0.00000175992,0.0001574869],"genre_scores_gemma":[0.9995302,0.00008579245,0.00006594713,0.00001047658,0.000001613708,0.000003140576,0.000172509,9.20014e-7,0.0001294394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03141793,"threshold_uncertainty_score":0.06247014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007183421849005102,"score_gpt":0.2305034353143357,"score_spread":0.2233200134653306,"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."}}