{"id":"W4376867045","doi":"10.21203/rs.3.rs-2918720/v1","title":"Understanding Health System Resilience in responding to a pandemic: experience and lessons from an evolving context of federalization in Nepal","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Foreign, Commonwealth and Development Office","keywords":"Context (archaeology); Resilience (materials science); Government (linguistics); Psychological resilience; CLARITY; Political science; Economic growth; Public administration; Geography; Psychology; Economics; Social psychology","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":[0.007801628,0.000305353,0.000482352,0.0006885844,0.01616756,0.005888908,0.001621971,0.002472627,0.003467959],"category_scores_gemma":[0.00887799,0.0004711189,0.0003227973,0.001054537,0.01401163,0.005914601,0.01051091,0.004830157,0.0002457614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009419159,"about_ca_system_score_gemma":0.0111403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03246102,"about_ca_topic_score_gemma":0.05664166,"domain_scores_codex":[0.9932287,0.004781581,0.0001082751,0.0002134217,0.0001978608,0.00147028],"domain_scores_gemma":[0.9940436,0.003949707,0.0004597528,0.0002649362,0.0003713692,0.0009106254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001347132,0.0000356254,0.003328325,0.00006482107,0.000004078608,0.001256336,0.9861531,0.00009005043,0.0001677772,0.004101963,0.0007632018,0.004021267],"study_design_scores_gemma":[0.000002362143,0.0000337217,0.002202192,0.0001060487,0.000002903605,0.0002067845,0.9881489,0.00008384245,0.0000947067,0.0007803764,0.008328564,0.000009566725],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723512,0.0004979417,0.0006158596,0.01424676,0.00004491552,0.0000606232,0.00003950466,0.00001334629,0.01212984],"genre_scores_gemma":[0.997812,0.0002681373,0.0001757995,0.0009096455,0.000008268124,0.00003393595,0.00001109656,0.000005464693,0.0007756029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03246102,"threshold_uncertainty_score":0.06834108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5253739238980099,"score_gpt":0.5840098035357302,"score_spread":0.05863587963772032,"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."}}