{"id":"W2114700792","doi":"10.1093/heapol/czs071","title":"Interrogating scarcity: how to think about 'resource-scarce settings'","year":2012,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère","funders":"University of Toronto; Queen's University; Canadian Institutes of Health Research; University of Ottawa","keywords":"Scarcity; Globalization; Resource (disambiguation); Geopolitics; Health policy; Global health; Health care; Sociology; Economics; Politics; Political science; Economic growth; Development economics; Law; Market economy","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00262116,0.0002627472,0.0005095552,0.0002869265,0.003242277,0.00002655577,0.0001349519,0.0001946788,0.00003117309],"category_scores_gemma":[0.00182149,0.0002355906,0.00004567813,0.0003703802,0.00005173202,0.0001839485,0.0003038427,0.0009718632,0.0001210809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002458933,"about_ca_system_score_gemma":0.0005153313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002729082,"about_ca_topic_score_gemma":0.00007950816,"domain_scores_codex":[0.9959881,0.0006135522,0.0006100963,0.0003150573,0.0002580478,0.002215154],"domain_scores_gemma":[0.996614,0.001243415,0.0003322925,0.0002612649,0.00008166546,0.0014673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005618392,0.00001904848,0.08921017,0.001712562,0.00002315552,0.000002206068,0.8218048,0.000003592064,0.0000138454,0.002117595,0.05922362,0.02581317],"study_design_scores_gemma":[0.000375916,0.0000971956,0.07454037,0.001289472,0.000005937602,0.000007147999,0.05291688,0.00006494457,0.000004014767,0.00003518473,0.8704622,0.0002007849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5037971,0.008934276,0.0006252892,0.4545672,0.001086248,0.001930844,0.00009748706,0.000486846,0.02847472],"genre_scores_gemma":[0.7409174,0.0001015726,0.00118621,0.2514489,0.004538393,0.0001155663,0.00001827885,0.00003951618,0.001634147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8112385,"threshold_uncertainty_score":0.9980553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.139379016903835,"score_gpt":0.492340350279137,"score_spread":0.3529613333753019,"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."}}