{"id":"W4394536543","doi":"10.6084/m9.figshare.19367246","title":"Additional file 2 of Healthcare system resilience in Bangladesh and Haiti in times of global changes (climate-related events, migration and Covid-19): an interdisciplinary mixed method research protocol","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Resilience (materials science); Coronavirus disease 2019 (COVID-19); Protocol (science); Health care; Pandemic; Computer science; Geography; Medicine; Economic growth; Economics; Pathology; Alternative medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001867034,0.0008448014,0.0007718505,0.002246665,0.000858597,0.001366944,0.001598109,0.001232963,0.4677446],"category_scores_gemma":[0.01557715,0.00062529,0.0008421716,0.004464718,0.0003095132,0.001331115,0.0012689,0.001203303,0.05269098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002157117,"about_ca_system_score_gemma":0.00368617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04778758,"about_ca_topic_score_gemma":0.07762302,"domain_scores_codex":[0.999153,0.0001777327,0.0002114335,0.0001700545,0.0001414557,0.0001463041],"domain_scores_gemma":[0.9929394,0.003090007,0.000857282,0.00055496,0.002227529,0.0003307891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008830229,0.00004634219,0.002788205,0.001256707,0.00002633381,0.00002301518,0.00008479421,0.000281867,0.00002326392,0.000699932,0.9922776,0.002403526],"study_design_scores_gemma":[0.00295579,0.0001730276,0.06619138,0.004368243,0.0001793156,0.000169866,0.001729399,0.001188305,0.0003857092,0.005231711,0.9172969,0.0001302406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001419059,0.000009012235,0.00004773865,0.00005825857,0.000006029049,0.0001162377,0.9992514,0.00001938702,0.0003499385],"genre_scores_gemma":[0.004369749,0.00007651935,0.001190815,0.0002483482,0.00002127873,0.006596264,0.9833868,0.0000740122,0.004036161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4677446,"threshold_uncertainty_score":0.7591977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09692135539636862,"score_gpt":0.4018071166453592,"score_spread":0.3048857612489906,"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."}}