{"id":"W2602897567","doi":"10.18520/cs/v107/i1/39-45","title":"Science-Policy Interface for Disaster Risk Management in India: Toward an Enabling Environment","year":2014,"lang":"en","type":"article","venue":"Current Science","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Emergency management; Science policy; Risk management; Business; Environmental planning; Flooding (psychology); Flood myth; Environmental resource management; Political science; Geography; Environmental science; Public administration; Finance","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":[0.003149417,0.0002523343,0.0001859465,0.0006778185,0.0005893538,0.0002810632,0.001705788,0.00002784695,0.0001391381],"category_scores_gemma":[0.00009308817,0.000219457,0.00005384837,0.001799631,0.00178396,0.001562529,0.001497883,0.0001754767,0.0002610772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009070684,"about_ca_system_score_gemma":0.00005854593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000927694,"about_ca_topic_score_gemma":0.00001923773,"domain_scores_codex":[0.9962659,0.00005661301,0.0003541527,0.001184492,0.001125257,0.001013605],"domain_scores_gemma":[0.9987964,0.00003463278,0.0001637283,0.0006772759,0.00001056279,0.0003174035],"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":[0.00003512473,0.0008754301,0.04203408,0.00006501235,0.000007905749,0.00000163253,0.003651121,0.01898625,0.003943909,0.03095399,0.0002919861,0.8991535],"study_design_scores_gemma":[0.003534988,0.001170953,0.4542063,0.0001561831,0.00009531736,0.0000027784,0.003165878,0.2059168,0.007427053,0.02036765,0.3021211,0.001835065],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8516469,0.00009756338,0.1211897,0.0003023042,0.001282636,0.001894722,0.000009305229,0.00009003279,0.02348681],"genre_scores_gemma":[0.9888254,0.0002691419,0.01037528,0.00008454542,0.00009393535,0.0001389922,0.000003010319,0.00001493285,0.0001947805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8973185,"threshold_uncertainty_score":0.8949198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188161548211872,"score_gpt":0.3143699504850258,"score_spread":0.2955537956638385,"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."}}