{"id":"W7163514391","doi":"10.21199/wb45.2.7","title":"FEATURED PHOTO: THE MANGROVE YELLOW WARBLER REACHES CALIFORNIA","year":2014,"lang":"","type":"article","venue":"Western Birds","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mangrove; Warbler; Subspecies; Mainland; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007009213,0.0004443724,0.0003620269,0.00003720725,0.000581356,0.0001194349,0.0009691033,0.0004951787,0.007595441],"category_scores_gemma":[0.00003867749,0.0003032634,0.0002095774,0.0002225264,0.001198349,0.0002117643,0.0004859624,0.000662442,0.02096199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896135,"about_ca_system_score_gemma":0.00002270867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001569103,"about_ca_topic_score_gemma":0.001709734,"domain_scores_codex":[0.997292,0.0002833916,0.0004052189,0.0007335286,0.0004478376,0.0008379887],"domain_scores_gemma":[0.9984142,0.0001356211,0.0002147076,0.0009801855,0.0000114264,0.0002438724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005283082,0.0002442106,0.9645784,0.00001459564,0.00003114493,0.00002103665,0.001052893,0.00002126611,0.005199631,0.0000105276,0.004316498,0.02445697],"study_design_scores_gemma":[0.0005338516,0.0002190338,0.8408661,0.00002990286,0.000166437,0.00004405909,0.0001793226,0.0001218141,0.005714866,0.0002086657,0.1514938,0.0004221143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881394,0.0001457022,0.00017982,0.003112874,0.001264484,0.0005767875,0.00007060394,0.00009061505,0.006419709],"genre_scores_gemma":[0.9644289,0.00005908156,0.0001336462,0.00299757,0.0003288809,0.00005078574,0.000009498093,0.0000581942,0.03193341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1471773,"threshold_uncertainty_score":0.9999419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274770306440499,"score_gpt":0.2288836569059964,"score_spread":0.2161359538415914,"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."}}