{"id":"W6958080882","doi":"10.6084/m9.figshare.19367261.v1","title":"Additional file 7 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":"Protocol (science); Resilience (materials science); Healthcare system; Health care; Data collection; Psychological resilience","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":[0.004544414,0.0007879805,0.0009574833,0.002359335,0.001550098,0.001550892,0.001587019,0.001229008,0.8182506],"category_scores_gemma":[0.05505897,0.0007381577,0.0009849286,0.003820959,0.0004110908,0.002153686,0.001245343,0.001447633,0.07400021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002169467,"about_ca_system_score_gemma":0.004977712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01767164,"about_ca_topic_score_gemma":0.03277264,"domain_scores_codex":[0.9981385,0.0006633074,0.0004536136,0.0002284225,0.0003088471,0.0002072398],"domain_scores_gemma":[0.9636599,0.02556522,0.002063529,0.001573433,0.006437732,0.0007000682],"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":[0.0004946144,0.0001911025,0.002195485,0.005257854,0.00005767185,0.00005461839,0.0005057905,0.0004536541,0.00003462471,0.001854056,0.9749141,0.01398652],"study_design_scores_gemma":[0.0140678,0.0007635345,0.0572423,0.02037481,0.0004418748,0.0002940723,0.006017486,0.002185367,0.0005865648,0.02107325,0.8766792,0.0002737038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.0005744142,0.00002930998,0.0004697397,0.0002626738,0.0000429814,0.003920515,0.9918554,0.0001102694,0.002734639],"genre_scores_gemma":[0.03023343,0.0004127006,0.01605631,0.001793343,0.0001501735,0.2995973,0.614872,0.0006366443,0.0362481],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.8182506,"threshold_uncertainty_score":0.2592435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180425760800629,"score_gpt":0.4384302667975131,"score_spread":0.3203876907174502,"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."}}