{"id":"W2802074053","doi":"10.2196/jmir.9458","title":"Applications of Space Technologies to Global Health: Scoping Review","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Aeronautics and Space Institute; Japan Aerospace Exploration Agency; National Aeronautics and Space Administration","keywords":"Space (punctuation); Global health; Field (mathematics); Data science; Computer science; Health care; Economic growth; Mathematics; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007319626,0.00008806046,0.0006318281,0.0003184405,0.00002972788,0.000008804555,0.0007033877,0.0001947603,0.0006048289],"category_scores_gemma":[0.009439567,0.00005767389,0.0001011178,0.0009584507,0.0007145178,0.00003048979,0.0003662968,0.0008312068,0.0001363995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803413,"about_ca_system_score_gemma":0.001444859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00011803,"about_ca_topic_score_gemma":0.0001122348,"domain_scores_codex":[0.9965664,0.0003084671,0.0007230556,0.0001783749,0.001837167,0.0003865949],"domain_scores_gemma":[0.9972277,0.0004428915,0.0002545173,0.0003563961,0.00124568,0.0004728534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004938114,0.0004795284,0.003979362,0.009132312,0.000198652,0.0001628148,0.0001804178,4.021047e-8,0.001096356,0.005148444,0.4898019,0.4893264],"study_design_scores_gemma":[0.003456086,0.03068768,0.002582975,0.5275093,0.00009763095,0.005623635,0.0009759226,0.0001432783,0.02676334,0.002362483,0.3994888,0.0003088793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02719328,0.1144794,0.02770704,0.8239498,0.0003981583,0.00283679,0.000004714096,0.00006745027,0.003363455],"genre_scores_gemma":[0.9224511,0.05989838,0.008732561,0.006686972,0.00144526,0.0001088041,0.000002936993,0.00002762088,0.0006463758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8952578,"threshold_uncertainty_score":0.9989043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09847169027394193,"score_gpt":0.560748919070721,"score_spread":0.4622772287967791,"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."}}