{"id":"W2006435368","doi":"10.1111/j.1600-0706.2010.18508.x","title":"Detecting population heterogeneity in effects of North Atlantic Oscillations on seabird body condition: get into the rhythm","year":2010,"lang":"en","type":"article","venue":"Oikos","topic":"Climate variability and models","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Seabird; North Atlantic oscillation; Arctic; Climate change; Population; Ecology; Eider; Latitude; Biology; Geography; Environmental science; Predation; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002221405,0.00006957608,0.00008468481,0.00002314666,0.0001303349,0.00001148677,0.00007826865,0.00004337603,0.0001099201],"category_scores_gemma":[0.0001380606,0.00005341712,0.00003339248,0.0001486684,0.00007056259,0.00009522527,0.00005881749,0.0001445658,0.00004764284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005388913,"about_ca_system_score_gemma":0.000003489621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00246946,"about_ca_topic_score_gemma":0.03047165,"domain_scores_codex":[0.9993409,0.00006390732,0.000154082,0.0001670461,0.0001562043,0.000117847],"domain_scores_gemma":[0.9994603,0.0002066522,0.0000637,0.0002342134,0.000004877416,0.00003018939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006463343,0.00004925078,0.9780757,0.00002092367,0.000002361874,0.000001313576,0.0003492789,0.006466237,0.01320976,0.0001458048,0.00000603761,0.001666808],"study_design_scores_gemma":[0.0001454573,0.00003727544,0.986535,0.00001172632,0.000006182305,0.000003015464,0.00000556024,0.009240367,0.003021375,0.0008574829,0.00007305438,0.00006351829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990298,0.000001104441,0.0001037333,0.0001232776,0.0001359937,0.0002573713,0.000002570552,0.00001750115,0.000328616],"genre_scores_gemma":[0.9996962,0.000002278734,0.0001688401,0.0000584209,0.00002677736,0.00001922448,0.00001423756,0.000005577635,0.000008473148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0280022,"threshold_uncertainty_score":0.9872197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00965987656022352,"score_gpt":0.2477780651831417,"score_spread":0.2381181886229181,"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."}}