{"id":"W4405891559","doi":"10.1007/978-3-031-71297-5_4","title":"Climate Change, Adaptation, and Adaptive Governance in Water Sector in South Asia: The Bangladesh Case in the Regional Context","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Adaptation (eye); Corporate governance; Context (archaeology); Climate change adaptation; Climate change; Geography; South asia; Political science; Development economics; Environmental resource management; Environmental planning; Business; Environmental science; Economics; History; Ancient history; Psychology; Ecology; Biology; Archaeology","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":[0.0003830912,0.0002505553,0.0001559596,0.0003096481,0.001161833,0.003120961,0.000437379,0.0008805979,0.00513888],"category_scores_gemma":[0.0006214313,0.0001474966,0.0001356858,0.002171038,0.003158474,0.001760764,0.001258376,0.001148722,0.0003503806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005617332,"about_ca_system_score_gemma":0.003294063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06608958,"about_ca_topic_score_gemma":0.1521999,"domain_scores_codex":[0.999773,0.00008594056,0.000007112037,0.00001927086,0.00002437338,0.00009026709],"domain_scores_gemma":[0.9997876,0.00008804131,0.00003484378,0.00001467162,0.00002395416,0.00005090554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004249795,0.0000423382,0.01501309,0.0001165999,0.0000177623,0.001989516,0.01982802,0.004726609,0.0008763093,0.9022389,0.02082404,0.03428425],"study_design_scores_gemma":[0.00002557325,0.0001050578,0.08220883,0.0005168025,0.00004769996,0.0009683952,0.1151597,0.005030783,0.000801175,0.3980991,0.3969703,0.00006653959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2282278,0.008423421,0.002093068,0.0220128,0.00008517062,0.00006355485,0.0002475027,0.00003056007,0.7388161],"genre_scores_gemma":[0.9578993,0.006680613,0.0003355929,0.000569462,0.00003076926,0.0000368818,0.00006254713,0.00001285937,0.03437192],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06608958,"threshold_uncertainty_score":0.1314098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087193854016181,"score_gpt":0.2248173805637038,"score_spread":0.183945442023542,"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."}}