{"id":"W4229460401","doi":"10.22541/au.165218943.38894324/v1","title":"Allee Effects and Coexistence","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Allee effect; Diversity (politics); Competition (biology); Competitive exclusion; Ecology; Density dependence; Population; Statistical physics; Biology; Physics; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007296559,0.0002879699,0.0004194997,0.00047991,0.00105141,0.001463513,0.0005186959,0.001331384,0.003243591],"category_scores_gemma":[0.003635855,0.0002009455,0.0004630092,0.0003445696,0.002600375,0.002649973,0.002411533,0.001209022,0.0003635008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006400995,"about_ca_system_score_gemma":0.0004293942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009023586,"about_ca_topic_score_gemma":0.0008321945,"domain_scores_codex":[0.9995378,0.0001681674,0.00001743318,0.0001122936,0.00009162096,0.00007267194],"domain_scores_gemma":[0.9982935,0.001003562,0.0002634993,0.0001809141,0.00009222627,0.000166332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004456463,0.00006106152,0.008995262,0.0001559262,0.00006585666,0.0002126123,0.0005547827,0.02523427,0.009876738,0.9158803,0.001593027,0.03732574],"study_design_scores_gemma":[0.00001706899,0.00007009188,0.009073963,0.00002896926,0.00003138693,0.0004084508,0.0001759836,0.03483129,0.001124642,0.944709,0.009492719,0.00003647763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5399167,0.006035516,0.3376302,0.006212613,0.0002366763,0.00006348245,0.0002552836,0.0003164215,0.109333],"genre_scores_gemma":[0.9885083,0.0007076346,0.006824857,0.000344578,0.00007465707,0.00002975323,0.00003353202,0.00001283376,0.003463769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003243591,"threshold_uncertainty_score":0.01085091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05761847314855576,"score_gpt":0.2241638241092289,"score_spread":0.1665453509606731,"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."}}