{"id":"W6920857375","doi":"10.6084/m9.figshare.27049112.v1","title":"Additional file 1 of Lessons from the COVID-19 pandemic to strengthen NCD care and policy in humanitarian settings: a mixed methods study exploring humanitarian actors’ experiences","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Global Health and Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Humanitarian aid; Government (linguistics); Health care; Qualitative research; 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":[0.00391887,0.0005898929,0.000656502,0.002716067,0.002035189,0.002211614,0.001537796,0.001315304,0.8656967],"category_scores_gemma":[0.06545254,0.0004501871,0.0005468365,0.005231432,0.0005539992,0.003041022,0.001630861,0.001359806,0.1064827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056427,"about_ca_system_score_gemma":0.003983957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01712681,"about_ca_topic_score_gemma":0.04174241,"domain_scores_codex":[0.9985611,0.00068193,0.0001824818,0.0001604784,0.0002519522,0.0001620886],"domain_scores_gemma":[0.9149274,0.07438242,0.001983948,0.001838245,0.005843786,0.001024194],"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":[0.0001128478,0.00007331146,0.001366853,0.002411726,0.0000112739,0.00005074583,0.0008788184,0.0001779296,0.00001829802,0.001620574,0.9844161,0.008861429],"study_design_scores_gemma":[0.002483447,0.0002666261,0.02902682,0.0106063,0.00009493436,0.0003782213,0.01484025,0.00104937,0.0002860865,0.02311725,0.9176678,0.0001828585],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0008582046,0.00005614671,0.0006405961,0.0007085825,0.00007452254,0.0007045791,0.9901676,0.0001616653,0.006628138],"genre_scores_gemma":[0.05716132,0.0008756762,0.02373627,0.004721079,0.0003125657,0.05564593,0.7862425,0.0013526,0.06995213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8656967,"threshold_uncertainty_score":0.1915673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2124109542772684,"score_gpt":0.43091390981345,"score_spread":0.2185029555361817,"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."}}