{"id":"W2344257120","doi":"10.1890/15-0934","title":"Identification of migratory bird flyways in North America using community detection on biological networks","year":2016,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; U.S. Geological Survey; U.S. Department of Agriculture","keywords":"Flyway; Waterfowl; Anas; Geography; Ecology; Anatidae; Identification (biology); Habitat; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008466056,0.0004480306,0.0003099508,0.001802658,0.0004517955,0.0005566411,0.0005604971,0.0004192207,0.0005077092],"category_scores_gemma":[0.002837933,0.0002269382,0.0005613383,0.001028506,0.000332461,0.0009110607,0.0007746961,0.0003435212,0.00009927875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008727188,"about_ca_system_score_gemma":0.0006199302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.050293,"about_ca_topic_score_gemma":0.05671968,"domain_scores_codex":[0.9996524,0.0001025836,0.00001861429,0.0001459526,0.00003835585,0.00004207719],"domain_scores_gemma":[0.9990128,0.0003864534,0.0002760483,0.00008317051,0.0001637062,0.00007772679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002072713,0.0002114535,0.3468076,0.0001036898,0.0002173536,0.0002175844,0.0005637009,0.5634941,0.009353839,0.003092054,0.0007009491,0.07503031],"study_design_scores_gemma":[0.000004310509,0.00002662908,0.03312463,0.000006124903,0.00001037395,0.00003819557,0.0001025142,0.9651265,0.0002704124,0.001058945,0.0002231646,0.000008206428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8927036,0.0001342086,0.1056607,0.00009021571,0.000006012061,0.0000831834,0.000438086,0.0001655019,0.0007184853],"genre_scores_gemma":[0.952692,0.00007787294,0.04618786,0.00001618769,0.000006471461,0.00005636072,0.0006348033,0.00001118966,0.0003172933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.050293,"threshold_uncertainty_score":0.1000005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903492716444271,"score_gpt":0.2615745646251739,"score_spread":0.2125396374607312,"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."}}