{"id":"W2903783037","doi":"10.2981/wlb.00391","title":"Hatch date influences pre‐fledging survival of temperate‐nesting Canada geese","year":2018,"lang":"en","type":"article","venue":"Wildlife Biology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":2,"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; Environment and Climate Change Canada; Université du Québec à Montréal","keywords":"Fledge; Hatching; Brood; Biology; Population; Ecology; Temperate climate; Precocial; Altricial; Branta; Zoology; Demography; Goose","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002460993,0.0001148297,0.0001870791,0.00001709204,0.0001714886,0.000004329241,0.0002859217,0.00011007,0.001042377],"category_scores_gemma":[0.0001148368,0.00009501159,0.0000203385,0.0001363015,0.0007908043,0.0000874586,0.0001920718,0.0001010595,0.00009083242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005320861,"about_ca_system_score_gemma":0.0001051074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1060959,"about_ca_topic_score_gemma":0.4943727,"domain_scores_codex":[0.9989592,0.0001130374,0.0002395657,0.0002786696,0.00008449996,0.0003249743],"domain_scores_gemma":[0.9995203,0.00008079797,0.0001161614,0.000192056,0.00001647556,0.00007418639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001245987,0.00001851096,0.9856594,0.000002198286,0.000006271052,0.000003642902,0.0001016117,0.0000171885,0.01227125,0.00002814458,0.0007950916,0.001084231],"study_design_scores_gemma":[0.0001411142,0.0001194091,0.9877672,0.000006354931,0.00001067588,0.000008303028,0.00007494501,0.0000321385,0.002092781,0.00004783851,0.009575133,0.0001240624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974832,0.00001279023,0.00002183116,0.0003515633,0.0005343929,0.00009061737,0.00001159784,0.00002011708,0.001473891],"genre_scores_gemma":[0.9984217,0.000003377061,0.0003426548,0.0007002788,0.000103853,0.000007395567,0.000008974632,0.000006647003,0.0004050961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3882769,"threshold_uncertainty_score":0.9998708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586779404638151,"score_gpt":0.2640439355321302,"score_spread":0.2481761414857487,"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."}}