{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001774231,0.001051117,0.0004800777,0.001378603,0.0008537137,0.00373646,0.002659034,0.002324776,0.004426633],"category_scores_gemma":[0.002600175,0.0005690175,0.001006113,0.0008300095,0.006226609,0.005388602,0.003926975,0.002510902,0.0006339191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526045,"about_ca_system_score_gemma":0.0008304818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220303,"about_ca_topic_score_gemma":0.0005814199,"domain_scores_codex":[0.9993935,0.0001937886,0.00002940916,0.0001699777,0.0001104061,0.0001029102],"domain_scores_gemma":[0.9983798,0.0005197331,0.0003684233,0.0001665748,0.00024335,0.0003219534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003377086,0.0000641827,0.006408258,0.0001478385,0.00005781886,0.000664464,0.0008908766,0.1340573,0.005283414,0.8437592,0.0007105371,0.007922276],"study_design_scores_gemma":[0.00001032268,0.0001149447,0.00572603,0.00005993827,0.00002864472,0.0002144017,0.000561448,0.2428227,0.000475222,0.7455059,0.00442876,0.0000517893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3159381,0.001841994,0.5839556,0.006339708,0.0002678078,0.0001755481,0.00033778,0.0003440895,0.0907995],"genre_scores_gemma":[0.9791055,0.0005383831,0.01770192,0.0001868831,0.00009230198,0.0001062849,0.00004840511,0.00004870434,0.002171496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004426633,"threshold_uncertainty_score":0.01480854,"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."}}