{"id":"W2890441695","doi":"10.1126/science.aau6835","title":"Learning to migrate","year":2018,"lang":"en","type":"letter","venue":"Science","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Herd; Ovis canadensis; Geography; Evolutionary biology; Biology; Zoology; Ecology; Demography; Sociology; Population","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":[0.001343132,0.0003197698,0.000348999,0.000158888,0.001783084,0.001137485,0.0005059972,0.009220737,0.009899315],"category_scores_gemma":[0.009181592,0.0001610926,0.0002627845,0.00006363339,0.001591928,0.001247954,0.0007738969,0.01231084,0.006905876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079225,"about_ca_system_score_gemma":0.001480537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004871593,"about_ca_topic_score_gemma":0.01407279,"domain_scores_codex":[0.9993793,0.0001986786,0.00002753096,0.00008533229,0.0001455731,0.0001635973],"domain_scores_gemma":[0.9967461,0.00158169,0.0001958214,0.0001670509,0.0005630839,0.0007463007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001084704,0.0001336671,0.003759373,0.00002894842,0.00001537627,0.0007760002,0.0003596431,0.00007427097,0.0005223368,0.003307971,0.9225516,0.06836236],"study_design_scores_gemma":[0.0001266795,0.0001972703,0.005327315,0.0002032794,0.00001913676,0.001464141,0.0009267511,0.0004039907,0.0005099202,0.01600958,0.9747781,0.00003392885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00463713,0.000980048,0.0003904095,0.9683841,0.01025738,0.00001504962,0.00005888969,0.00006158223,0.01521551],"genre_scores_gemma":[0.03462323,0.001267917,0.0004449685,0.9108521,0.01214306,0.00004328678,0.00007065877,0.00002609585,0.04052866],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.009899315,"threshold_uncertainty_score":0.03311652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009988813503634507,"score_gpt":0.2235198310406799,"score_spread":0.2135310175370454,"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."}}