{"id":"W7145271507","doi":"","title":"Competitive exclusion of a burying beetle by mongoose","year":2023,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Forest Service; Japan Society for the Promotion of Science; U.S. Forest Service","keywords":"Mongoose; Competitive exclusion; Cannibalism; Ectotherm; Oviparity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001214606,0.0001145657,0.0003002904,0.0008610606,0.000947152,0.001066717,0.0006896831,0.000627597,0.003428472],"category_scores_gemma":[0.004192599,0.00008830587,0.0001950479,0.0007722114,0.0004247862,0.000463171,0.0009716529,0.0003052861,0.0002566198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006424951,"about_ca_system_score_gemma":0.0007450907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02686314,"about_ca_topic_score_gemma":0.04511485,"domain_scores_codex":[0.9994761,0.0001985066,0.00002521702,0.00008748883,0.00009086985,0.0001216992],"domain_scores_gemma":[0.9951552,0.00241004,0.001032036,0.0004139598,0.0002612265,0.0007276337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001840366,0.0008155588,0.894909,0.0001514629,0.0003462207,0.0017519,0.004510772,0.004931144,0.0099041,0.01303343,0.006600838,0.06120528],"study_design_scores_gemma":[0.0001260719,0.0008800107,0.8997442,0.00009040315,0.0002859173,0.002011377,0.01526853,0.0522586,0.0026645,0.00857844,0.01801375,0.00007837699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998345,0.00007226722,0.0002633619,0.0001253835,0.000002596168,0.000003787763,0.0001142536,0.00000583012,0.001067363],"genre_scores_gemma":[0.9986248,0.00004447662,0.0003912231,0.00003340287,0.00000258385,0.00000380936,0.000183072,0.000001684838,0.0007149871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02686314,"threshold_uncertainty_score":0.05341357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766700157211241,"score_gpt":0.3043764209520264,"score_spread":0.276709419379914,"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."}}