{"id":"W2094157899","doi":"10.1371/journal.pone.0043627","title":"Advances in Linking Wintering Migrant Birds to Their Breeding-Ground Origins Using Combined Analyses of Genetic and Stable Isotope Markers","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Queen's University","funders":"Queen's University; World Wildlife Fund","keywords":"Shrike; Biological dispersal; Ecology; Geography; Range (aeronautics); Biology; Population; Zoology; Evolutionary biology; Habitat; Demography","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":[0.0001541508,0.00009184392,0.0001882837,0.00005994091,0.00006232408,0.000009199131,0.00009764529,0.00004018097,0.0002031771],"category_scores_gemma":[0.00001323674,0.00008137392,0.00001806579,0.000193919,0.00009497307,0.0002996812,0.0001268592,0.0000711587,0.000009740025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001052501,"about_ca_system_score_gemma":0.000004274213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003425331,"about_ca_topic_score_gemma":0.0006107342,"domain_scores_codex":[0.9992791,0.00002802188,0.0001762029,0.0001467333,0.00011342,0.0002565493],"domain_scores_gemma":[0.9997272,0.00003665275,0.00005925213,0.00009932077,0.000004576698,0.00007299701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002477225,0.000246658,0.7297561,0.00001839178,0.00001030612,0.00000112445,0.0004703498,0.0001002418,0.2685564,7.827884e-7,4.610076e-7,0.0008143818],"study_design_scores_gemma":[0.0002144743,0.000148202,0.9631916,0.0001397753,0.00005967312,0.00000204223,0.0002768192,0.0006451723,0.03514107,0.00002361464,0.00003848178,0.0001190663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999177,0.0002906816,0.0001685328,0.00002258559,0.00003216501,0.0001659161,0.000003156425,0.0000109108,0.000129073],"genre_scores_gemma":[0.9928499,0.00006569262,0.006985304,0.00003471089,0.0000165722,0.000007654056,6.860672e-7,0.000009550386,0.00002988888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2334355,"threshold_uncertainty_score":0.3318332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06385070372263421,"score_gpt":0.2795711393053009,"score_spread":0.2157204355826667,"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."}}