{"id":"W7030065806","doi":"","title":"Loss of community stability as a coherent ecological impact of a changing climate","year":2020,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada First Research Excellence Fund; Canada Research Chairs; ArcticNet; Polar Knowledge Canada","keywords":"Stability (learning theory); Climate change; Ecological stability; Community; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001823855,0.0005560468,0.001033147,0.0001282166,0.0008206675,0.00002393988,0.001095377,0.0005451557,0.001899565],"category_scores_gemma":[0.0006017664,0.0004727532,0.0006330225,0.000726853,0.00023143,0.0002824556,0.0007649912,0.001447544,0.0001811052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128565,"about_ca_system_score_gemma":0.00003877058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002726801,"about_ca_topic_score_gemma":0.005051609,"domain_scores_codex":[0.9958739,0.0008822223,0.001090042,0.0005892722,0.0007788009,0.0007857311],"domain_scores_gemma":[0.9972906,0.0003404218,0.001096754,0.0008365135,0.00009452137,0.0003411529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002937911,0.008004329,0.1003843,0.008184759,0.001146538,0.0002217696,0.001279858,0.003626572,0.7771833,0.03680194,0.000005219379,0.06022356],"study_design_scores_gemma":[0.003097603,0.006043888,0.789767,0.001927705,0.0006603957,0.00008975109,0.009711427,0.002941669,0.1617113,0.01966732,0.0009049621,0.003476943],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519823,0.00003200064,1.284413e-7,0.000005305632,0.0002252989,0.0007850589,0.001445302,0.00005782237,0.04546679],"genre_scores_gemma":[0.9991621,0.0001146967,0.0001001166,0.00002990761,0.00000626225,0.00005520843,0.0003491558,0.00005874766,0.0001237432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6893827,"threshold_uncertainty_score":0.9997724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770137106159733,"score_gpt":0.2639342410523642,"score_spread":0.2462328699907669,"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."}}