{"id":"W4319789939","doi":"10.1111/jav.03062","title":"Shifting environmental predictors of phenotypes under climate change: a case study of growth in high latitude seabirds","year":2023,"lang":"en","type":"article","venue":"Journal of Avian Biology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Queen's University","funders":"U.S. Geological Survey; Natural Sciences and Engineering Research Council of Canada; U.S. Fish and Wildlife Service; Queen's University; McGill University","keywords":"Seabird; Biology; Climate change; Arctic; Environmental change; Ecology; Trait; Population; Population growth; 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":[0.0005128505,0.0001089009,0.0003200317,0.0001525971,0.0000493472,0.000001960429,0.0001801783,0.0001220032,0.0003839601],"category_scores_gemma":[0.0000229964,0.0000880059,0.00005523537,0.0002382899,0.0002461982,0.0001266607,0.0001880732,0.0002065451,0.0000255063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008672311,"about_ca_system_score_gemma":0.000007953098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002687569,"about_ca_topic_score_gemma":0.0006147953,"domain_scores_codex":[0.9987583,0.0001782381,0.0005415629,0.0001467819,0.0001264066,0.0002486912],"domain_scores_gemma":[0.9993106,0.00009139431,0.0004343888,0.000097267,0.000005979699,0.00006038302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005224277,0.0004576787,0.9917648,0.000006731476,0.00002702816,0.0005827208,0.003092255,0.0002439342,0.003184884,0.000009667015,0.000009276726,0.0005688032],"study_design_scores_gemma":[0.0009000778,0.001293993,0.9924343,0.00001284968,0.00004756925,0.000254514,0.004485788,0.00001670786,0.0003458358,0.0001297694,0.000004324645,0.00007433083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994412,0.000020114,0.000004760401,0.00009859658,0.000213118,0.0001732485,0.00001822263,0.000006558695,0.00002415257],"genre_scores_gemma":[0.9997222,0.0000495989,0.0001139482,0.00003336716,0.00005418586,0.000005203037,0.000002517801,0.000009947271,0.00000906568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002839048,"threshold_uncertainty_score":0.4204094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345436622572169,"score_gpt":0.2690698647279751,"score_spread":0.2456154985022534,"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."}}