{"id":"W6981907297","doi":"","title":"Flood Management in Kazakhstan: What lessons can the Karaganda region learn from Alberta, Canada?","year":2017,"lang":"en","type":"dissertation","venue":"Nazarbayev University Repository (Nazarbayev University)","topic":"Crime and Detective Fiction Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Flooding (psychology); Resilience (materials science); Flood risk management; Public policy; Emergency management","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":[0.001415981,0.0003599812,0.0004525701,0.001099999,0.02741149,0.007491883,0.001393236,0.001145724,0.003797301],"category_scores_gemma":[0.002068509,0.0002004969,0.0001889543,0.002743312,0.01054114,0.001879325,0.002498627,0.002632756,0.000307658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07787798,"about_ca_system_score_gemma":0.1377097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905481,"about_ca_topic_score_gemma":0.9971886,"domain_scores_codex":[0.9987458,0.0003466253,0.00001929828,0.0000769155,0.0001972158,0.0006141629],"domain_scores_gemma":[0.9987857,0.0003704923,0.0000832607,0.00004182616,0.0003694958,0.0003493062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002199559,0.0001454404,0.04273757,0.0005612488,0.0000489758,0.003886325,0.717423,0.0007327119,0.0009987614,0.07711684,0.06046319,0.09566598],"study_design_scores_gemma":[0.000008519396,0.00002457559,0.03198553,0.0004800204,0.00001813605,0.0002910123,0.8189139,0.0001147335,0.0002497321,0.002375863,0.1454969,0.00004110004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7623686,0.0131573,0.0004398938,0.08007283,0.0005651948,0.00005415465,0.0005132193,0.00002918784,0.1427996],"genre_scores_gemma":[0.9666107,0.008920932,0.0003706567,0.003553686,0.00004698441,0.00001682879,0.0001822187,0.00001903685,0.02027891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07787798,"threshold_uncertainty_score":0.565047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194635483946108,"score_gpt":0.1982971924148864,"score_spread":0.1788336440202756,"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."}}