{"id":"W2730072831","doi":"10.1002/ece3.3164","title":"Conceptualizing ecosystem tipping points within a physiological framework","year":2017,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Australian Research Council","keywords":"Ecosystem; Trophic level; Ecology; Counterintuitive; Climate change; Environmental change; Tipping point (physics); Community; Psychological resilience; Stressor; Environmental resource management; Environmental science; Biology; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003288446,0.00008319593,0.0001347278,0.0000110831,0.0008823039,0.00003618415,0.000193163,0.0001691266,0.00018916],"category_scores_gemma":[0.0001971423,0.00006708701,0.00002528819,0.00002409779,0.00025792,0.0001708372,0.000229398,0.0001381397,0.0002882515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001052822,"about_ca_system_score_gemma":0.000006333148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007184706,"about_ca_topic_score_gemma":0.0007793963,"domain_scores_codex":[0.9992374,0.00007383939,0.0001466461,0.0002731668,0.00006398344,0.000204937],"domain_scores_gemma":[0.9994932,0.00004759256,0.0001642641,0.0002291545,0.000004849739,0.00006096896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001614974,0.00003618763,0.9692088,0.00001744223,0.00001104547,0.00001136305,0.000489108,0.001184336,0.004127788,0.02450236,0.0002448047,0.0001506126],"study_design_scores_gemma":[0.0001290511,0.00006711402,0.9536772,0.00003615238,0.000005118812,0.00002028748,0.0001685159,0.0334218,0.00002199215,0.01226267,0.00008831987,0.000101786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953043,0.0000379736,0.001424425,0.0002523464,0.0004652994,0.0001152717,0.000002616798,0.0000247423,0.002373045],"genre_scores_gemma":[0.9988896,0.00001189024,0.0008311563,0.00008092022,0.0000586706,0.00001134871,0.000001082891,0.000003876392,0.0001114496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03223746,"threshold_uncertainty_score":0.6786057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294251177400492,"score_gpt":0.2439752523600881,"score_spread":0.2310327405860831,"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."}}