{"id":"W2531091960","doi":"10.1111/jav.01070","title":"Wintering areas predict age‐related breeding phenology in a migratory passerine bird","year":2016,"lang":"en","type":"article","venue":"Journal of Avian Biology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Western University","funders":"Ministerio de Economía y Competitividad","keywords":"Passerine; Phenology; Biology; Ecology; Population; Annual cycle; Avian clutch size; Cluster (spacecraft); Habitat; Feather; Zoology; Demography; Reproduction","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003782274,0.0001334368,0.0003048779,0.000146665,0.00004094748,0.000004110934,0.0003082211,0.0002491946,0.001526658],"category_scores_gemma":[0.00009259104,0.00008570976,0.00008704757,0.0001464812,0.0004628715,0.0001815097,0.0001401451,0.0002855461,0.0002441964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022647,"about_ca_system_score_gemma":0.00001786187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002627802,"about_ca_topic_score_gemma":0.0005501937,"domain_scores_codex":[0.9987341,0.0001301186,0.0005288988,0.0001897001,0.00006753816,0.0003496455],"domain_scores_gemma":[0.999362,0.00008742946,0.0003088909,0.0001212363,0.00001148411,0.000108986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006327534,0.00007051096,0.8376102,0.000001252855,0.00001670993,0.0003109456,0.0001221424,0.000004948889,0.153628,0.00001507222,0.00019315,0.007963763],"study_design_scores_gemma":[0.0009825585,0.0008046344,0.9934372,0.000046584,0.00001689973,0.000632202,0.00005576762,0.00000344505,0.001270815,0.0008656502,0.001771526,0.0001127711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975917,0.00005852404,0.0001622141,0.001187114,0.0005485485,0.00006462013,0.000002500897,0.00002241722,0.0003623103],"genre_scores_gemma":[0.9991858,0.00005812362,0.0002837535,0.0001447255,0.00007672417,0.000003025804,4.452784e-7,0.000014631,0.000232777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.155827,"threshold_uncertainty_score":0.9993861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187161329818839,"score_gpt":0.2347046330849698,"score_spread":0.2228330197867814,"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."}}