{"id":"W7098893761","doi":"","title":"Date FACTORS AFFECTING BODY MASS OF PREFLEDGING EMPEROR GEESE","year":2013,"lang":"en","type":"article","venue":"","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interspecific competition; Goose; Grazing; Brood; Population; Population density; Productivity; Competition (biology)","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":[0.0001919452,0.0001227664,0.0001189624,0.0002859478,0.000177779,0.0002500132,0.0001126551,0.0001513987,0.001075586],"category_scores_gemma":[0.0004358333,0.00008382792,0.0001116258,0.0001846019,0.0001372273,0.000189879,0.0001664216,0.0001732865,0.0001618566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344924,"about_ca_system_score_gemma":0.0000880301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007965758,"about_ca_topic_score_gemma":0.02231653,"domain_scores_codex":[0.9999415,0.00000863138,0.000006019046,0.00002366626,0.00001069693,0.000009492662],"domain_scores_gemma":[0.9996455,0.00006589908,0.0001393165,0.00002184306,0.00007464027,0.000052863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001201963,0.00002259911,0.9896534,0.00001263556,0.00002996629,0.00004335763,0.0001408046,0.0001036008,0.007611737,0.000009683052,0.00003491017,0.002217122],"study_design_scores_gemma":[3.333956e-7,0.00002044883,0.999688,7.330149e-7,0.000002801424,0.000016761,0.00003145186,0.00003377763,0.0001677835,0.000002617942,0.00003480697,4.630272e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996549,0.00005473723,0.00005804004,0.000002695016,6.325188e-7,0.000001311839,0.00009655851,0.000001248275,0.0001300646],"genre_scores_gemma":[0.9994698,0.0000321273,0.00009436843,0.000005792764,8.871046e-7,0.000003283003,0.0001798042,6.605265e-7,0.0002133402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007965758,"threshold_uncertainty_score":0.01583874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353187403717878,"score_gpt":0.3731152640976029,"score_spread":0.3377965237258151,"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."}}