{"id":"W2094800884","doi":"10.1073/pnas.0702777104","title":"Crossing the final ecological threshold in high Arctic ponds","year":2007,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":388,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Queen's University","funders":"","keywords":"Arctic; Environmental science; Biodiversity; Tundra; Aquatic ecosystem; Ecosystem; Ecology; Desiccation; Surface water; Precipitation; Lake ecosystem; Climate change; Terrestrial ecosystem; Physical geography; Oceanography; Geography; Biology; Geology","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":[0.002745599,0.00007032858,0.0001036217,0.0001087156,0.0003591191,0.00006435723,0.0006755774,0.00006891546,0.0004612443],"category_scores_gemma":[0.0002340843,0.00003483313,0.00004614384,0.0007687997,0.001193497,0.000306254,0.00004155778,0.0002003335,0.00000464682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008882479,"about_ca_system_score_gemma":0.0000234083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002504441,"about_ca_topic_score_gemma":0.00009099067,"domain_scores_codex":[0.9985993,0.000004635181,0.0002654394,0.0001631376,0.0007454559,0.000222013],"domain_scores_gemma":[0.9993616,0.0003340931,0.0001905833,0.000006142946,0.00007873673,0.00002883833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002349261,0.00001927186,0.9877934,0.00001824452,0.000002153054,3.965596e-8,0.0003052749,0.0002154337,0.006309755,0.004713895,0.0001761285,0.0004229051],"study_design_scores_gemma":[0.00009887868,0.00003838072,0.9658461,0.00003521148,0.000002867316,0.00001144716,0.0002796135,0.001209629,0.003090844,0.02920775,0.0001297425,0.00004949029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891917,0.0001464432,9.637106e-8,0.004152803,0.00003585698,0.00009102546,0.00005187511,0.000003829768,0.006326335],"genre_scores_gemma":[0.9989828,0.00002026808,0.00009435306,0.0007316532,0.0001048597,5.492747e-7,0.000001197702,7.751185e-7,0.00006347627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02449386,"threshold_uncertainty_score":0.5050302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102509123106477,"score_gpt":0.3148825322768369,"score_spread":0.2123734091703599,"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."}}