{"id":"W4417355737","doi":"10.1016/j.jmro.2025.100214","title":"The development of Magnetic Resonance Imaging (MRI) technology for use in space—A progress report","year":2025,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Open","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto; Canadian Space Agency; University of Alberta; University of Saskatchewan; University of California","keywords":"Spacecraft; Magnetic resonance imaging; Radio frequency; Medical imaging; Space (punctuation); Imaging technology; Space technology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002314952,0.0002201641,0.0007686127,0.0004485112,0.0001184715,0.00007132439,0.0008255358,0.0001525325,0.00002467857],"category_scores_gemma":[0.001628111,0.000147419,0.0001047876,0.0007721524,0.0004249766,0.0001440555,0.0003501058,0.0004054531,0.000002119926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808921,"about_ca_system_score_gemma":0.001079489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002065094,"about_ca_topic_score_gemma":0.0001682455,"domain_scores_codex":[0.9973425,0.0001138724,0.001411926,0.0003451106,0.0003172315,0.0004693681],"domain_scores_gemma":[0.9974307,0.0005262882,0.0007172208,0.0006256221,0.0006243149,0.00007583941],"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":[0.002226161,0.0002251226,0.3483365,0.0001034894,0.00002004333,0.000591602,0.0001571405,9.366749e-7,0.002570964,0.001225914,0.006416637,0.6381255],"study_design_scores_gemma":[0.003969744,0.000937585,0.4219019,0.001438778,0.00005036801,0.0007786465,0.0002380366,0.0001765995,0.005310682,0.0008211399,0.5642442,0.0001322984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6767261,0.2691925,0.0007566037,0.04346367,0.000971187,0.005414933,0.000007089454,0.00002898151,0.003438898],"genre_scores_gemma":[0.575511,0.003693821,0.3929196,0.0007862985,0.0002160867,0.0008580298,0.000006716665,0.000107226,0.0259012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6379932,"threshold_uncertainty_score":0.6011572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624999761942232,"score_gpt":0.3226331672612214,"score_spread":0.3063831696417991,"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."}}