{"id":"W7100608691","doi":"","title":"POPULATION STUDY OF GREATER SNOW GEESE ON BYLOT ISLAND (NUNAVUT) IN 2006:","year":2006,"lang":"en","type":"article","venue":"","topic":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Snow; Snow cover; Ectotherm; Waterfowl","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":[0.0004196597,0.0002595291,0.0002699304,0.0007759772,0.002027225,0.0005546779,0.0006863758,0.0004964657,0.000919732],"category_scores_gemma":[0.0004962114,0.0002522589,0.0002102637,0.001183341,0.0006964643,0.0004663499,0.000922985,0.0005743604,0.00020057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002654478,"about_ca_system_score_gemma":0.002522138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7388481,"about_ca_topic_score_gemma":0.9099114,"domain_scores_codex":[0.999792,0.00004809238,0.0000123321,0.00006654272,0.00003129849,0.00004973877],"domain_scores_gemma":[0.9996171,0.00003375981,0.00005778512,0.00002805275,0.0001377984,0.0001254906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008933542,0.0001627578,0.9699675,0.00004658799,0.00004366069,0.0005402534,0.02051144,0.00007061045,0.00283511,0.0001255305,0.0007292927,0.004877877],"study_design_scores_gemma":[0.000003528166,0.00007425578,0.9802421,0.00001531069,0.00001216168,0.0002403099,0.0176914,0.00006367615,0.0001148385,0.00001736433,0.001517657,0.000007274448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986732,0.0001188493,0.0000656106,0.00003808831,0.00000546942,0.000030047,0.0004124959,0.000001935579,0.0006542478],"genre_scores_gemma":[0.996581,0.0002202534,0.0004465528,0.0001123589,0.000004921959,0.00005939499,0.000710684,0.000003485339,0.001861388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2611519,"threshold_uncertainty_score":0.5253798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0541104725786734,"score_gpt":0.2612710337368406,"score_spread":0.2071605611581672,"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."}}