{"id":"W1982399473","doi":"10.1656/045.021.0208","title":"Nest-Patch Characteristics of Bicknell's Thrush in Regenerating Clearcuts, and Implications for Precommercial Thinning","year":2014,"lang":"en","type":"article","venue":"Northeastern Naturalist","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Thrush; Nest (protein structural motif); Vegetation (pathology); Ecology; Thinning; Habitat; Home range; Population; Range (aeronautics); Geography; Biology; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.0002480766,0.00007921708,0.0001465177,0.00002522159,0.0001537422,0.00001269883,0.00009387734,0.00006107415,0.00001766],"category_scores_gemma":[0.0001075451,0.00007334161,0.00002412436,0.00007930976,0.000102071,0.00009358238,0.00008508509,0.0001005579,0.000005900274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002220647,"about_ca_system_score_gemma":0.000003776391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000246671,"about_ca_topic_score_gemma":0.007013128,"domain_scores_codex":[0.9993655,0.00004506144,0.0002226505,0.0001809124,0.00004805336,0.0001378234],"domain_scores_gemma":[0.9995518,0.0001728702,0.0001188907,0.0001115169,0.00001831318,0.00002655426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001322066,0.00001923796,0.9742851,0.00001500248,0.000003783437,5.654173e-8,0.0005254822,0.0001084898,0.0002559677,0.001829996,0.0000268995,0.02291674],"study_design_scores_gemma":[0.0002293139,0.00003018269,0.9873035,0.00001328233,0.000007687757,0.000002350391,0.0000427011,0.0113079,0.00002368953,0.0006524451,0.0003070391,0.00007992885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968732,0.000041314,0.0005895871,0.001461047,0.00009559665,0.0001820706,0.00002158156,0.00001097894,0.0007246456],"genre_scores_gemma":[0.9977614,0.00001932585,0.001769303,0.000221913,0.00003860312,0.00002548844,0.00002623989,0.000007971843,0.0001297842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283681,"threshold_uncertainty_score":0.391349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244064552886634,"score_gpt":0.2558186339121294,"score_spread":0.243377988383263,"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."}}