{"id":"W2049467283","doi":"10.1890/10-1651.1","title":"Migration path annotation: cross-continental study of migration-flight response to environmental conditions","year":2011,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Habitat; Geography; Ecology; Climate change; Environmental data; Bird migration; Extreme weather; Scale (ratio); Spatial ecology; Environmental resource management; Physical geography; Environmental science; Cartography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006010864,0.0002557815,0.0002630434,0.001953864,0.0003776106,0.0006830938,0.0003139793,0.0002562582,0.001076274],"category_scores_gemma":[0.002085728,0.0001308896,0.00030371,0.003859382,0.0001909917,0.0004538556,0.0006925275,0.0002581282,0.0003793247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002464687,"about_ca_system_score_gemma":0.0002874559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03942869,"about_ca_topic_score_gemma":0.07133055,"domain_scores_codex":[0.999652,0.00008963095,0.00003194689,0.0001301559,0.00005794453,0.00003832545],"domain_scores_gemma":[0.9985948,0.0002839625,0.0004132362,0.0002600176,0.0003503216,0.0000976609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008232689,0.00005210029,0.9477576,0.00006239484,0.0002163044,0.00005714163,0.0008907412,0.00191949,0.006144925,0.000243777,0.001341272,0.04123187],"study_design_scores_gemma":[0.000001179208,0.00001660835,0.9960585,0.000006226623,0.00001389981,0.00002317481,0.0003284346,0.001842528,0.0002194184,0.00004607569,0.001438061,0.000005918942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861077,0.0002088542,0.005065522,0.00004930831,0.00001677828,0.00003500857,0.005527404,0.0001582403,0.002831094],"genre_scores_gemma":[0.982217,0.0001663146,0.008473737,0.00002865239,0.00001081308,0.00006296158,0.008083047,0.0000703327,0.000887163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03942869,"threshold_uncertainty_score":0.07839835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738131602202907,"score_gpt":0.2677870779006343,"score_spread":0.2504057618786052,"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."}}