{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003389638,0.00005327099,0.0000838533,0.00005679337,0.0003005064,0.00004186463,0.00009815284,0.00002825152,0.009997192],"category_scores_gemma":[0.0004573561,0.00004148939,0.00002433942,0.0002804997,0.0001005592,0.0002406607,0.00001841548,0.00004563041,0.00001903441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001770511,"about_ca_system_score_gemma":0.00004238348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028777,"about_ca_topic_score_gemma":0.002142763,"domain_scores_codex":[0.999399,0.00006576489,0.0001374207,0.0000953643,0.0001496211,0.0001528273],"domain_scores_gemma":[0.9994907,0.00013208,0.00007414109,0.00008648841,0.0001824204,0.00003420871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000001246578,0.00007492143,0.6499392,0.00003874577,0.00005957883,1.845297e-7,0.2851142,0.00000186897,0.01797167,0.03084688,0.009704099,0.006247383],"study_design_scores_gemma":[0.0001095441,0.00001650299,0.362268,0.000019117,0.000008073489,4.876335e-8,0.6183033,0.00001197503,0.007830779,0.0003712943,0.01091636,0.0001449956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8174433,0.0000245824,0.000112139,0.0006666159,0.0002366871,0.0001430282,5.418945e-7,0.00005379706,0.1813193],"genre_scores_gemma":[0.9903465,0.000009668252,0.0007881107,0.0000911744,0.0001172402,0.000007090551,0.000002704504,0.000004345014,0.008633179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3331891,"threshold_uncertainty_score":0.9963028,"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."}}