{"id":"W4388546093","doi":"10.1515/9781552388211","title":"Vulnerability and Adaptation to Drought on the Canadian Prairies","year":2016,"lang":"en","type":"book","venue":"University of Calgary Press eBooks","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Vulnerability (computing); Climate change adaptation; Geography; Environmental science; Climate change; Biology; Ecology; Computer science; Neuroscience; Computer security","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":[0.0005393141,0.0004597867,0.0003152247,0.001262403,0.009544296,0.002920707,0.0009827797,0.0007229191,0.003022975],"category_scores_gemma":[0.001454676,0.0002436848,0.0004081464,0.003125816,0.00365357,0.001295356,0.001779156,0.001175736,0.0001633732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04584923,"about_ca_system_score_gemma":0.04316646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9800924,"about_ca_topic_score_gemma":0.993118,"domain_scores_codex":[0.9993777,0.0000465983,0.00001118803,0.00005225456,0.0002823387,0.0002299255],"domain_scores_gemma":[0.9995541,0.0001023341,0.00004668148,0.00001351454,0.0001919919,0.0000913945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001381973,0.00005229844,0.04839803,0.0009737004,0.0001152758,0.00349223,0.1909711,0.01420064,0.005039777,0.1903472,0.2192208,0.3270507],"study_design_scores_gemma":[0.000006530158,0.00003364216,0.2293108,0.0005649393,0.00005943727,0.0006910547,0.06115098,0.001367254,0.0004688543,0.01523501,0.6909656,0.0001459059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.398931,0.04521202,0.00185156,0.03725936,0.0009711087,0.0001452023,0.002232593,0.0001090547,0.5132881],"genre_scores_gemma":[0.8332993,0.07504127,0.001906338,0.002575711,0.0002189239,0.00006167751,0.0008147269,0.00006418055,0.08601782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04584923,"threshold_uncertainty_score":0.332661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03667527030662172,"score_gpt":0.1874841258075313,"score_spread":0.1508088555009096,"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."}}