{"id":"W6977205489","doi":"10.6084/m9.figshare.19367252.v1","title":"Additional file 4 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":"article","venue":"Figshare","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Resilience (materials science); Protocol (science); Qualitative research; Healthcare system; Health care; Service (business); Health services; Data collection","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":[0.003452715,0.0007570455,0.00087989,0.002151681,0.001569949,0.00121155,0.001474457,0.0009419319,0.8011095],"category_scores_gemma":[0.03385662,0.000613227,0.000722343,0.003392591,0.0003165127,0.00173143,0.001155676,0.001171949,0.05215182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002606839,"about_ca_system_score_gemma":0.005081457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061731,"about_ca_topic_score_gemma":0.03816702,"domain_scores_codex":[0.9988268,0.0003697116,0.0002962376,0.0001381087,0.0001984635,0.0001706596],"domain_scores_gemma":[0.9828909,0.01083138,0.0011688,0.0007801335,0.003862333,0.0004664271],"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":[0.0004446757,0.0002008793,0.002173418,0.00534955,0.00002964134,0.00008789646,0.001015813,0.0004587145,0.00006349258,0.001719801,0.9676223,0.02083388],"study_design_scores_gemma":[0.01087525,0.0008476198,0.05927651,0.01810592,0.0002470705,0.0003865763,0.00994838,0.002552721,0.0009131811,0.0194123,0.8771721,0.0002623824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.00100976,0.00003855805,0.0007526103,0.0004454045,0.00005067162,0.007919277,0.985728,0.0001479888,0.003907754],"genre_scores_gemma":[0.02901069,0.0005365016,0.01922327,0.001874837,0.0001367408,0.4139738,0.4964559,0.000497512,0.03829082],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.8011095,"threshold_uncertainty_score":0.2836932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1187647322052401,"score_gpt":0.4387768982914503,"score_spread":0.3200121660862102,"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."}}