{"id":"W3200317764","doi":"10.1002/ecs2.3747","title":"Breeding dispersal in a resident boreal passerine can lead to short‐ and long‐term fitness benefits","year":2021,"lang":"en","type":"article","venue":"Ecosphere","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Biological dispersal; Passerine; Ecology; Population; Nest (protein structural motif); Reproductive success; Biology; Brood; Seasonal breeder; Fledge; Demography; Predation","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007298263,0.0001088651,0.0001350231,0.000008266228,0.00007513465,0.00002549936,0.0001083904,0.00007481744,0.004005078],"category_scores_gemma":[0.00001778252,0.0001095218,0.00002200638,0.0001554598,0.00005629513,0.0001082081,0.0002563539,0.0001212371,0.0001407065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131437,"about_ca_system_score_gemma":0.00001306323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003541221,"about_ca_topic_score_gemma":0.2714065,"domain_scores_codex":[0.999132,0.0000207917,0.0001382859,0.0003269013,0.0001053022,0.0002767342],"domain_scores_gemma":[0.9996892,0.00001805849,0.00001632391,0.000148816,0.000004590034,0.0001230696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001193717,0.00004903736,0.9792427,0.000004727809,0.000002652261,0.0002691838,0.0002641317,0.00009646446,0.0007565001,0.00001087634,0.001422112,0.01786972],"study_design_scores_gemma":[0.0001802393,0.00006230114,0.9979466,0.00002450027,0.000008664498,0.00003649696,0.0001699846,0.00002742002,0.001267288,0.00001110894,0.0001236454,0.0001417219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962835,0.00009803108,0.00001146135,0.000930978,0.0001001312,0.0001123187,0.000010899,0.00001670805,0.002435954],"genre_scores_gemma":[0.9978558,0.00002519259,0.0001735958,0.0002614693,0.0000337299,0.00002083856,0.00001061192,0.00001144965,0.001607292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2710524,"threshold_uncertainty_score":0.9969054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405332553256476,"score_gpt":0.2434825893258107,"score_spread":0.229429263793246,"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."}}