{"id":"W6939894594","doi":"10.6084/m9.figshare.19367249.v1","title":"Additional file 3 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":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Protocol (science); Resilience (materials science); Qualitative research; Healthcare system; Data collection; Health care","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":[0.003691466,0.000774064,0.0009058011,0.002021483,0.001629996,0.001268985,0.001353078,0.0008976699,0.808189],"category_scores_gemma":[0.0334708,0.0006252379,0.0006953322,0.003082367,0.0003492111,0.001628017,0.001157181,0.001184041,0.06148553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002590739,"about_ca_system_score_gemma":0.005188952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719053,"about_ca_topic_score_gemma":0.03396825,"domain_scores_codex":[0.9988528,0.0003703655,0.0002870553,0.0001405992,0.0001942669,0.0001547779],"domain_scores_gemma":[0.9829487,0.01074915,0.001098356,0.000807272,0.003912111,0.0004844225],"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":[0.0004940316,0.0001923747,0.001788066,0.004577952,0.0000261972,0.00008646838,0.0009464764,0.0003866274,0.00006803415,0.001700741,0.9690709,0.02066215],"study_design_scores_gemma":[0.01115073,0.0008324331,0.04616696,0.0151949,0.000218448,0.0004099969,0.008322616,0.002211992,0.0009534185,0.01876057,0.8955306,0.0002473007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.001023459,0.00003804299,0.0009335754,0.0004580577,0.00006114558,0.01084633,0.9817609,0.0002046965,0.004673708],"genre_scores_gemma":[0.02415738,0.0004735122,0.01853044,0.001923317,0.0001422772,0.4715066,0.4411036,0.0006169444,0.04154595],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.808189,"threshold_uncertainty_score":0.2735952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07346444093944467,"score_gpt":0.4349372523627426,"score_spread":0.3614728114232979,"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."}}