{"id":"W2895889653","doi":"10.1002/ecs2.2438","title":"Can we detect ecosystem critical transitions and signals of changing resilience from paleo‐ecological records?","year":2018,"lang":"en","type":"article","venue":"Ecosphere","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Division of Environmental Biology; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Varve; Regime shift; Smoothing; Geology; Ecosystem; Ecology; Climate change; Environmental science; Sediment; Paleontology; Statistics; Oceanography; Biology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002810819,0.0001539779,0.000253672,0.00002098066,0.0002686514,0.00003205108,0.0002476983,0.000120997,0.007080175],"category_scores_gemma":[0.00008644735,0.0001291474,0.0000604884,0.0002560771,0.0003416502,0.0001188596,0.0001239898,0.0001146203,0.0002589475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006727836,"about_ca_system_score_gemma":0.0000146608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002883315,"about_ca_topic_score_gemma":0.01781967,"domain_scores_codex":[0.9985091,0.0001107793,0.0003247269,0.0004516866,0.0002154087,0.0003883081],"domain_scores_gemma":[0.9992313,0.000244535,0.00008201135,0.0002523767,0.00002021482,0.0001695361],"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":[0.0005753474,0.002177505,0.2128293,0.001414015,0.0003454928,0.0008952626,0.02495123,0.007339315,0.4989437,0.008773726,0.01708467,0.2246704],"study_design_scores_gemma":[0.002310143,0.004744928,0.4477977,0.002432803,0.0002954184,0.0003505911,0.01501901,0.415368,0.05255947,0.04783088,0.007965329,0.003325678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832045,0.0002040194,0.001710265,0.0007602731,0.0002050258,0.0002035431,0.0001239756,0.0000359816,0.01355235],"genre_scores_gemma":[0.9971358,0.00007310036,0.00239448,0.00006780267,0.00008200989,0.00001926634,0.00000227741,0.00001172483,0.0002135822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4463843,"threshold_uncertainty_score":0.9943794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007193645600025816,"score_gpt":0.2213548568604145,"score_spread":0.2141612112603887,"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."}}