{"id":"W3186763329","doi":"10.1111/ele.13846","title":"Understanding the emergence of contingent and deterministic exclusion in multispecies communities","year":2021,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Competitive exclusion; Predictability; Intraspecific competition; Interspecific competition; Competition (biology); Ecology; Biology; Range (aeronautics); Mathematics; Statistics","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":[0.001703992,0.0002048447,0.0004125609,0.0004174931,0.0009196365,0.001298212,0.001147766,0.007120569,0.001759564],"category_scores_gemma":[0.01428105,0.0002589715,0.0003498438,0.0003544666,0.003100765,0.004042896,0.0009220313,0.004765146,0.0009192992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844963,"about_ca_system_score_gemma":0.0006272604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362414,"about_ca_topic_score_gemma":0.001796639,"domain_scores_codex":[0.9991155,0.00034867,0.00004665241,0.0002019659,0.0001887039,0.00009849641],"domain_scores_gemma":[0.9880746,0.009525142,0.0006735843,0.000855141,0.0005372513,0.0003342793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007771056,0.000223612,0.04601539,0.0009592026,0.0001512075,0.01245286,0.003192931,0.0447779,0.009112881,0.4066543,0.2089943,0.2666883],"study_design_scores_gemma":[0.00005739833,0.00007999707,0.009730854,0.0001392266,0.0000227124,0.004800585,0.0006030423,0.07381842,0.001488089,0.8392143,0.06997855,0.00006667689],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1277167,0.008349266,0.0762381,0.7559062,0.002993354,0.00003529499,0.0002402015,0.0003348152,0.02818609],"genre_scores_gemma":[0.8952006,0.005898372,0.01149907,0.07383063,0.00759234,0.00007839751,0.0001187481,0.00006072666,0.005721019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007120569,"threshold_uncertainty_score":0.01338619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.178389868492977,"score_gpt":0.2301553830857054,"score_spread":0.05176551459272835,"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."}}