{"id":"W2513477796","doi":"10.1038/ncomms12573","title":"No complexity–stability relationship in empirical ecosystems","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval; McGill University; Montreal Biodome; Hôpital Saint-Luc; Université du Québec à Rimouski; Health Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Enseignement Supérieur et de la Recherche; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université du Québec à Rimouski","keywords":"Food web; Intuition; Stability (learning theory); Ecosystem; Ecology; Predation; Species richness; Persistence (discontinuity); Computer science; Biology; Psychology; Machine learning; Cognitive science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003842973,0.0003029942,0.0004776904,0.002129927,0.0009442411,0.001461138,0.0006475016,0.000627743,0.003568991],"category_scores_gemma":[0.0653737,0.0003325396,0.0006913765,0.001485832,0.004202076,0.003064643,0.001600735,0.001371414,0.0003329774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005432436,"about_ca_system_score_gemma":0.0003437685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046202,"about_ca_topic_score_gemma":0.001428351,"domain_scores_codex":[0.9965603,0.001260684,0.0001937792,0.001030848,0.0007646231,0.0001898707],"domain_scores_gemma":[0.9186605,0.05777004,0.01091669,0.008586948,0.002656199,0.001409534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003030872,0.0001109184,0.8850726,0.0003164059,0.001539781,0.0003664882,0.001414935,0.009069012,0.003469739,0.04813582,0.002017948,0.04818315],"study_design_scores_gemma":[0.00004132419,0.0002441961,0.848254,0.0001024812,0.0002413534,0.001383083,0.0006848809,0.02524768,0.00138236,0.1188562,0.003479252,0.00008321851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96903,0.002127515,0.01501835,0.002372995,0.00003679215,0.00001748148,0.0002758593,0.0001056562,0.01101541],"genre_scores_gemma":[0.9986861,0.0001079703,0.0008243805,0.0001026866,0.00002463602,0.000007374288,0.00006730826,0.00001187453,0.0001676448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003842973,"threshold_uncertainty_score":0.02032387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.246876948867934,"score_gpt":0.3256554680218048,"score_spread":0.0787785191538708,"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."}}