{"id":"W1870265433","doi":"10.1002/jwmg.666","title":"Factors influencing survival of Canada geese breeding in Southern Quebec","year":2014,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Juvenile; Breed; Fledge; Population; Temperate climate; Biology; Demography; Hunting season; Geography; Ecology; Predation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003906746,0.0001833323,0.00016621,0.0006993225,0.0009519949,0.0007091735,0.0004290536,0.0002790933,0.001808452],"category_scores_gemma":[0.001329713,0.00009758867,0.0002071998,0.001136833,0.0004129652,0.000253307,0.0002315086,0.000278302,0.0001735935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005101493,"about_ca_system_score_gemma":0.002671797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9449219,"about_ca_topic_score_gemma":0.9846135,"domain_scores_codex":[0.9997979,0.00002995302,0.00001074957,0.00005172162,0.00004394684,0.00006574196],"domain_scores_gemma":[0.9985951,0.0002016905,0.0003764442,0.00004299493,0.0004651612,0.0003186629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002365496,0.00001101147,0.9968369,0.000006947791,0.00002984575,0.0000513942,0.0002365913,0.0001175779,0.0005129326,0.00001780235,0.0003596861,0.001795611],"study_design_scores_gemma":[7.35962e-7,0.000006949734,0.9993118,0.000004538926,0.000004364917,0.00001534019,0.0002627628,0.0001431319,0.00001728591,0.000004482466,0.0002265315,0.000001952101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979482,0.000218117,0.00009513228,0.00007298909,0.000004293384,0.0000071166,0.0008803959,0.000006895323,0.0007668642],"genre_scores_gemma":[0.9987481,0.000079316,0.000094352,0.00003352684,0.000002417365,0.000005703067,0.0005810024,0.000002843941,0.0004527387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05507815,"threshold_uncertainty_score":0.110805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287486035064816,"score_gpt":0.212229968695693,"score_spread":0.1993551083450448,"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."}}