{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004327783,0.0008167653,0.0005000996,0.001281107,0.002920645,0.009472743,0.0006279279,0.004608102,0.01688486],"category_scores_gemma":[0.006172448,0.0002197297,0.0006268868,0.001171614,0.006579055,0.0144929,0.005769175,0.006116795,0.002627674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002569492,"about_ca_system_score_gemma":0.006747325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002899906,"about_ca_topic_score_gemma":0.009856648,"domain_scores_codex":[0.9976245,0.001140791,0.0001157587,0.0001543772,0.00056973,0.0003948334],"domain_scores_gemma":[0.9961533,0.001539182,0.000300867,0.0002152951,0.0005425701,0.001248699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005950832,0.00009502949,0.004722884,0.001984698,0.00004389932,0.0005922516,0.007581449,0.0003564702,0.0007930684,0.2207514,0.3715964,0.3914229],"study_design_scores_gemma":[0.000006233772,0.00006348928,0.002615828,0.002528131,0.00001956716,0.0008655528,0.01058415,0.0001097427,0.0002314605,0.03927144,0.9436693,0.00003523114],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004201612,0.1237984,0.002023943,0.7765157,0.02734745,0.00003214615,0.00007276943,0.0001157123,0.06589219],"genre_scores_gemma":[0.2122224,0.3476394,0.01110992,0.308371,0.0463536,0.000151182,0.0002620775,0.0002591235,0.0736312],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01688486,"threshold_uncertainty_score":0.05648547,"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."}}