{"id":"W2093881781","doi":"10.1016/j.actatropica.2009.07.035","title":"Using the courts to challenge irrational health research policies and administrative decisions","year":2009,"lang":"en","type":"article","venue":"Acta Tropica","topic":"Human Rights and Development","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Irrational number; Context (archaeology); Government (linguistics); Political science; Ideology; Developing country; Public health; Law; Public policy; Public administration; Economic growth; Medicine; Geography; Politics; Economics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2927945,0.001194917,0.002982613,0.004926609,0.01912194,0.03877464,0.008565912,0.07117251,0.00784645],"category_scores_gemma":[0.4646975,0.001744266,0.002147496,0.003789007,0.07190463,0.02456761,0.0177528,0.05442087,0.001172968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02215468,"about_ca_system_score_gemma":0.06545047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267168,"about_ca_topic_score_gemma":0.02293915,"domain_scores_codex":[0.7544182,0.1468537,0.01069715,0.01739295,0.04568896,0.02494898],"domain_scores_gemma":[0.4375251,0.4684331,0.02109414,0.02742616,0.0328936,0.01262804],"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":[0.0000400546,0.00004619221,0.0006302321,0.0000422413,0.00006474445,0.0001674523,0.002847196,0.0005364043,0.0001604719,0.9811064,0.01170202,0.002656489],"study_design_scores_gemma":[0.0001762399,0.00004247604,0.000454909,0.0002203751,0.00007017656,0.00006542011,0.001962254,0.001662088,0.0004545141,0.9566887,0.03810648,0.00009633169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02229224,0.00190233,0.02421936,0.8188679,0.003168502,0.0002754316,0.000117054,0.000146279,0.1290109],"genre_scores_gemma":[0.6104502,0.0009936475,0.01547329,0.3510976,0.003982721,0.00113388,0.00006225466,0.0001633537,0.01664319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2927945,"threshold_uncertainty_score":0.8721104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5296458268895151,"score_gpt":0.5372623100286074,"score_spread":0.007616483139092245,"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."}}