{"id":"W6902107062","doi":"10.6084/m9.figshare.21427607","title":"Additional file 1 of Future public health emergencies and disasters: sustainability and insights into support programs for healthcare providers","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Sustainability; Health care; Table (database); Public health; Key (lock); 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":[0.002488325,0.0009401916,0.001093389,0.002848122,0.001553496,0.001586788,0.001874646,0.001200393,0.8799036],"category_scores_gemma":[0.06184825,0.0005323102,0.0007087739,0.005329616,0.0002573382,0.002030486,0.001248795,0.001171885,0.1168985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898428,"about_ca_system_score_gemma":0.003750641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373735,"about_ca_topic_score_gemma":0.03550317,"domain_scores_codex":[0.9985418,0.000364194,0.0003229332,0.0002692003,0.0003166986,0.0001850894],"domain_scores_gemma":[0.9425983,0.04395741,0.003233104,0.00159381,0.0076019,0.001015401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001816515,0.0001186182,0.002207576,0.002616234,0.00002477327,0.00003161203,0.0001191101,0.0001997595,0.00001960913,0.0007383259,0.9854473,0.008295511],"study_design_scores_gemma":[0.006599098,0.0004867649,0.05912012,0.01349748,0.0003223106,0.0005025068,0.002999215,0.002321207,0.0005208458,0.01772423,0.8956954,0.0002108063],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002455232,0.00002079086,0.0002081841,0.0001509671,0.00002445318,0.0002564445,0.9970769,0.00006737049,0.001949525],"genre_scores_gemma":[0.0162988,0.0003907431,0.005299084,0.001339441,0.0002205052,0.01280611,0.941288,0.0004586235,0.02189869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8799036,"threshold_uncertainty_score":0.1713029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09574222547964462,"score_gpt":0.4097381949880793,"score_spread":0.3139959695084347,"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."}}