{"id":"W2078490196","doi":"10.1109/embc.2012.6347383","title":"Systems modeling of space medical support architecture: Topological mapping of high level characteristics and constraints","year":2012,"lang":"en","type":"article","venue":"","topic":"Space Exploration and Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Defence Research and Development Canada; University of Toronto; McMaster University; McMaster University Medical Centre","funders":"","keywords":"Crew; Spacecraft; Space exploration; Duration (music); Computer science; International Space Station; Construct (python library); Systems engineering; Life support system; Space (punctuation); Architecture; Perspective (graphical); Class (philosophy); Aerospace engineering; Topology (electrical circuits); Engineering; Aeronautics; Geography; Artificial intelligence","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":[0.0004044342,0.0004967601,0.0003249723,0.0006389195,0.0005860453,0.002095777,0.001058302,0.0008833661,0.003709836],"category_scores_gemma":[0.001777599,0.0003569327,0.0005935438,0.0007620375,0.0009615156,0.001728553,0.0009059022,0.0006641304,0.0003775854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254401,"about_ca_system_score_gemma":0.001338607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089642,"about_ca_topic_score_gemma":0.008877768,"domain_scores_codex":[0.99966,0.0001281394,0.00001749172,0.00005130788,0.00008485338,0.00005818288],"domain_scores_gemma":[0.9993172,0.0003300328,0.0001021214,0.00007555235,0.0001223471,0.00005284655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000177097,0.00001165279,0.001167741,0.00002365103,0.00001160937,0.000082845,0.0001348115,0.9708702,0.0007671569,0.02373129,0.000176992,0.00300433],"study_design_scores_gemma":[0.000003637716,0.00001320971,0.0003467234,0.000005412484,0.000006889517,0.00002079704,0.0000771372,0.9910397,0.0002109293,0.00716839,0.00110278,0.000004384317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2079806,0.0001758466,0.7577899,0.0005589902,0.00002945591,0.0001708018,0.0006408906,0.0006265846,0.03202692],"genre_scores_gemma":[0.9281842,0.0002390468,0.06648064,0.00004062003,0.00001321042,0.000217506,0.0003958228,0.00006252796,0.004366511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01089642,"threshold_uncertainty_score":0.02166599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04178592244244803,"score_gpt":0.2344350521605287,"score_spread":0.1926491297180806,"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."}}