{"id":"W2602889174","doi":"","title":"Nest Site Selection In Hudsonian Godwits: Effects Of Habitat And Predation Risk","year":2016,"lang":"en","type":"dissertation","venue":"eCommons (Cornell University)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; American Ornithologists' Union; Churchill Northern Studies Centre; ConocoPhillips; National Science Foundation","keywords":"Predation; Habitat; Nest (protein structural motif); Selection (genetic algorithm); Site selection; Geography; Ecology; Biology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00008872236,0.0001643974,0.0002069,0.0001898714,0.000120594,0.000006159565,0.0001358874,0.0002985707,0.00030194],"category_scores_gemma":[0.00003405637,0.0001708391,0.00004743761,0.0003438904,0.00009553006,0.0002718868,0.00005307626,0.0002324816,0.0001432763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141358,"about_ca_system_score_gemma":0.00001712235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003603158,"about_ca_topic_score_gemma":0.06262518,"domain_scores_codex":[0.9991316,0.0001374087,0.0001400341,0.0003530383,0.00005816779,0.0001797183],"domain_scores_gemma":[0.9994583,0.0001163201,0.0002341691,0.000120921,0.00001025422,0.00006003793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008196466,0.00009779039,0.9955564,0.00003886339,0.000009870079,0.00001816054,0.0002856594,0.00008036095,0.001574045,0.00001487443,0.00009494694,0.002147045],"study_design_scores_gemma":[0.000550072,0.0001370779,0.9967725,0.00007841038,0.000110834,0.000001719109,0.0001099743,0.00006741675,0.001697651,0.0001678478,0.0001297236,0.0001767543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942431,0.00001671532,0.00006442941,0.000006814851,0.0001439361,0.0003012805,0.00001949934,0.00002294963,0.005181266],"genre_scores_gemma":[0.9906379,0.0001117179,0.00005569421,0.000004193826,0.00001100988,0.00000191136,0.00006505418,0.00001344182,0.009099096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06226486,"threshold_uncertainty_score":0.9544795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005781528314825811,"score_gpt":0.1774181969343081,"score_spread":0.1716366686194823,"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."}}