{"id":"W4256583009","doi":"10.2307/4089934","title":"Territory and Nest-Site Selection of Cerulean Warblers in Eastern Ontario","year":2001,"lang":"en","type":"article","venue":"The Auk","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nest (protein structural motif); Geography; Selection (genetic algorithm); Ecology; Biology; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001230073,0.00003087552,0.00003716939,0.00001071229,0.00003725013,0.000002636275,0.00004499124,0.00002527445,0.0005919407],"category_scores_gemma":[0.000003510296,0.00002403283,0.000007212009,0.00005355831,0.00006699229,0.00007577694,0.00002703301,0.00005666124,0.00006616688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006099989,"about_ca_system_score_gemma":0.000006426802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04547603,"about_ca_topic_score_gemma":0.3582927,"domain_scores_codex":[0.9997292,0.00002753065,0.00006791758,0.00006628573,0.00004210481,0.00006694097],"domain_scores_gemma":[0.99989,0.00001605463,0.00002781988,0.00005377112,0.000001085848,0.00001130236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001638948,0.00001208782,0.9970015,5.922937e-7,0.000001281463,6.908456e-7,0.0009125688,0.0001133094,0.000518834,0.000009575268,0.0002187796,0.001194353],"study_design_scores_gemma":[0.0001141487,0.000024674,0.9965717,0.000002932261,0.000003132942,0.000005800483,0.00003978995,0.0007785963,0.00005531856,0.0002535203,0.002123526,0.00002688056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995761,0.000004386933,0.00001619659,0.0006133839,0.00003937161,0.00005149299,1.016572e-7,0.000005215154,0.003508836],"genre_scores_gemma":[0.9961066,0.000003436621,0.00002827183,0.0002841143,0.000011307,0.000002854933,5.750698e-7,0.000001782578,0.003561117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3128166,"threshold_uncertainty_score":0.9608802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101019715112438,"score_gpt":0.1974533668993807,"score_spread":0.1864431697482563,"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."}}