{"id":"W3124150034","doi":"","title":"Climate Change, Forests, and Water Supply: Managing to Reduce Vulnerability in Central Nova Scotia","year":2009,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Vulnerability (computing); Climate change; Nova (rocket); Water supply; Environmental science; Environmental resource management; Geography; Forestry; Oceanography; Engineering; Computer science; Geology; Environmental engineering; Aeronautics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000314602,0.000146258,0.0001613914,0.0003725167,0.00149427,0.0008684078,0.0005774488,0.0003864032,0.001486063],"category_scores_gemma":[0.001057307,0.0001438825,0.0001450325,0.0004289816,0.0005364477,0.0002117852,0.000841054,0.0003881331,0.0001042322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008857111,"about_ca_system_score_gemma":0.01264916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662318,"about_ca_topic_score_gemma":0.9936274,"domain_scores_codex":[0.9997584,0.000046567,0.00001190035,0.00001981114,0.00003073532,0.0001325841],"domain_scores_gemma":[0.9992558,0.00008540584,0.0001166678,0.00002116529,0.0001675543,0.0003534027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009306246,0.0003186091,0.9149415,0.0002926274,0.0001746943,0.006303173,0.006434109,0.0049267,0.007366716,0.001768438,0.01466026,0.04188244],"study_design_scores_gemma":[0.00006653724,0.00006275951,0.9852615,0.00007584797,0.00002819463,0.0002768771,0.006388078,0.001939883,0.0002432564,0.0002138583,0.005427327,0.00001577189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934502,0.0003602163,0.00007169869,0.001436555,0.00002466928,0.00004741901,0.0003848469,0.000007070571,0.004217317],"genre_scores_gemma":[0.9952121,0.0002798975,0.0001928748,0.0003088872,0.000007667556,0.00002417705,0.0001355745,0.000002859432,0.00383596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03376818,"threshold_uncertainty_score":0.06793404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384026828276286,"score_gpt":0.2444415702748983,"score_spread":0.2306013019921355,"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."}}