{"id":"W2910536919","doi":"10.1371/journal.pone.0209612","title":"Whooping crane use of riverine stopover sites","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service; Parks Canada","keywords":"Grus (genus); Habitat; Endangered species; Critical habitat; Channel (broadcasting); Environmental science; Ecology; Vegetation (pathology); Wetland; Range (aeronautics); Geography; Hydrology (agriculture); Biology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003854181,0.0002778481,0.0002448322,0.001385227,0.000425321,0.0008351862,0.0004213021,0.0002288811,0.001538661],"category_scores_gemma":[0.002118439,0.0002350914,0.0002655299,0.001098331,0.0004405504,0.0004026936,0.0006447862,0.0002708737,0.0001716442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005487579,"about_ca_system_score_gemma":0.0005396082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07516982,"about_ca_topic_score_gemma":0.2318987,"domain_scores_codex":[0.9996106,0.00007575427,0.0000415496,0.0001427023,0.00007002371,0.0000592917],"domain_scores_gemma":[0.9979025,0.0004200031,0.00110762,0.0001631757,0.0002828718,0.0001237595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002811032,0.00001946463,0.9945116,0.00002559346,0.00004888865,0.00005085332,0.0003895508,0.0009384643,0.0003307487,0.00003805546,0.0001528681,0.003465903],"study_design_scores_gemma":[0.000001080231,0.00001652512,0.9986836,0.00001208786,0.000008888258,0.00004209342,0.0002094418,0.0006139601,0.00007297589,0.000009730713,0.0003259837,0.000003560221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956255,0.00006053655,0.0002991929,0.00001805431,0.000001510688,0.00003440661,0.002179492,0.00001412987,0.001767164],"genre_scores_gemma":[0.9957812,0.0001098459,0.0006097798,0.00001183548,0.000003283046,0.00008583529,0.002808803,0.000005316586,0.0005840074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07516982,"threshold_uncertainty_score":0.1494646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04760968089178486,"score_gpt":0.2121186378655935,"score_spread":0.1645089569738087,"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."}}