{"id":"W4311119965","doi":"10.1136/bmjgh-2022-010408","title":"Estimating Chinese bilateral aid for health: an analysis of AidData’s Global Chinese Official Finance Dataset Version 2.0","year":2022,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"International Development and Aid","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Bill and Melinda Gates Foundation","keywords":"China; Health care; Business; Health policy; Development aid; Portfolio; Finance; Economic growth; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001805033,0.0001549337,0.0004443457,0.00009944956,0.001442037,0.00004134684,0.0005466171,0.00003900888,0.0001607859],"category_scores_gemma":[0.0002046645,0.0001477214,0.0001267935,0.001601295,0.00007270037,0.00030867,0.0001980955,0.00008716867,0.000006188117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516372,"about_ca_system_score_gemma":0.002024133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02544511,"about_ca_topic_score_gemma":0.02775352,"domain_scores_codex":[0.9973655,0.0003177382,0.0006164645,0.0003798882,0.0008228431,0.0004975675],"domain_scores_gemma":[0.9989172,0.0000615126,0.0005202127,0.0002268066,0.0000987762,0.0001755158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001562395,0.001245366,0.6895635,0.0002151266,0.000411465,0.00001345466,0.007903285,0.05958657,0.000001869413,0.06121687,0.1409651,0.03731498],"study_design_scores_gemma":[0.002036084,0.001200261,0.6629553,0.00006801836,0.00008576219,0.00000697581,0.001638641,0.2159106,4.683592e-7,0.009247621,0.106224,0.0006261956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9098238,0.0001596144,0.001878088,0.0164525,0.002062869,0.001175714,0.06763806,0.00007407993,0.0007352272],"genre_scores_gemma":[0.9707808,0.00001416036,0.009972703,0.002354254,0.0003426877,0.00004160438,0.01644221,0.000005890752,0.00004572665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563241,"threshold_uncertainty_score":0.999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273699315345015,"score_gpt":0.454127670867011,"score_spread":0.4267577393325095,"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."}}