{"id":"W4391043086","doi":"10.1007/s12553-024-00817-y","title":"The use of technology in global health humanitarian settings: how theory plays out in practice","year":2024,"lang":"en","type":"article","venue":"Health and Technology","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Public relations; Political science; Equity (law); Engineering ethics; Digital health; Global health; Human rights; Humanitarian aid; Economic Justice; Business; Health care; Engineering; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004004208,0.0001186354,0.0003060929,0.0004508159,0.0005572554,0.00009723417,0.0003014544,0.0004180991,0.000004571392],"category_scores_gemma":[0.003655189,0.00009950389,0.00002084519,0.001745755,0.0008550421,0.0002770981,0.0001084458,0.0007220942,0.0000057814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005759662,"about_ca_system_score_gemma":0.003095052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01128792,"about_ca_topic_score_gemma":0.1291103,"domain_scores_codex":[0.997431,0.0006712291,0.0004417532,0.0003410146,0.0002012713,0.0009136818],"domain_scores_gemma":[0.9986627,0.0006566658,0.0001885074,0.0002387881,0.00007394087,0.0001793671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001863343,0.00004410886,0.002267458,0.00009293171,0.000006188476,0.00001416453,0.005268439,1.750313e-7,2.437409e-7,0.8443381,0.002380972,0.1455686],"study_design_scores_gemma":[0.0001568689,0.0002452629,0.000193189,0.0001375649,0.000001533632,0.00001713056,0.02968587,0.00001837816,5.265398e-7,0.1884045,0.7810748,0.00006430892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0286458,0.03024566,0.00007306928,0.9376259,0.0004105571,0.0007314261,0.00003684061,0.0002837479,0.001947038],"genre_scores_gemma":[0.9808388,0.01270772,0.0007298501,0.005525518,0.00005303351,0.00004335327,0.000004966983,0.000008865096,0.00008793515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.952193,"threshold_uncertainty_score":0.995296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025767788792531,"score_gpt":0.370282669161702,"score_spread":0.3400249912737767,"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."}}