{"id":"W2608718411","doi":"10.1097/gox.0000000000001273","title":"Plastic and Reconstructive Surgery in Global Health: Let’s Reconstruct Global Surgery","year":2017,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Global Health and Surgery","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Outreach; Reconstructive surgery; Global health; Medicine; Plastic surgery; Commission; Prioritization; Value (mathematics); Public relations; Surgery; Political science; Engineering; Computer science; Nursing; Public health; Management science; 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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004281173,0.001496073,0.005396363,0.0005194101,0.001430659,0.0009702919,0.000917891,0.0007982413,0.0004164185],"category_scores_gemma":[0.02209212,0.001526432,0.0009629012,0.001465072,0.002550811,0.002122901,0.001125793,0.0009081225,0.0002155005],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00413899,"about_ca_system_score_gemma":0.01136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01020307,"about_ca_topic_score_gemma":0.005681563,"domain_scores_codex":[0.9881016,0.0009946923,0.003574691,0.00268985,0.00114359,0.00349557],"domain_scores_gemma":[0.9805964,0.01151098,0.002606136,0.001800685,0.0006532049,0.002832621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00271228,0.0002091182,0.7461616,0.0003979546,0.0003163943,0.0009038951,0.0000209264,0.000003320094,0.000001082591,0.001724272,0.008701553,0.2388476],"study_design_scores_gemma":[0.001970249,0.0001462973,0.9706402,0.00316974,0.0001579042,0.01138289,0.0006378733,0.0001279916,0.000008997489,0.008776782,0.001679715,0.001301343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589096,0.001952371,0.0001826755,0.00209548,0.01554893,0.002003617,0.003545113,0.0002142601,0.01554797],"genre_scores_gemma":[0.9947645,0.001248035,0.001681466,0.001230528,0.0005472891,0.0001799556,0.0002321367,0.00007205981,0.00004403346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2375462,"threshold_uncertainty_score":0.9998693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04509088097176864,"score_gpt":0.3371544778013816,"score_spread":0.2920635968296129,"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."}}