{"id":"W4225654641","doi":"10.48550/arxiv.2112.12554","title":"Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Space exploration; Space (punctuation); NASA Deep Space Network; Computer science; Data science; Spacecraft; Systems engineering; Risk analysis (engineering); Artificial intelligence; Engineering; Medicine; Aerospace engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000815816,0.000417284,0.0004402213,0.0001598114,0.0003972916,0.0001192082,0.0004541567,0.0003159356,0.000910865],"category_scores_gemma":[0.00008688949,0.0005063135,0.0001269363,0.0005293926,0.000434035,0.0003309597,0.002318248,0.0008927764,0.0004100253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006259151,"about_ca_system_score_gemma":0.0001364029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557583,"about_ca_topic_score_gemma":0.0007359498,"domain_scores_codex":[0.9964244,0.0003898996,0.0003627145,0.00190619,0.0002501858,0.0006666487],"domain_scores_gemma":[0.9980962,0.0001545636,0.0003423705,0.0008608571,0.00001973836,0.0005262421],"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":[0.0003608051,0.001944703,0.2164914,0.00101528,0.0003175696,0.002441793,0.008325503,0.4471626,0.003858789,0.01232378,0.0006609618,0.3050969],"study_design_scores_gemma":[0.00192299,0.001743355,0.380862,0.003832997,0.0005949817,0.0001209107,0.01672117,0.3893824,0.04026685,0.1417009,0.01422807,0.0086233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307191,0.0001554225,0.06433188,0.0003161276,0.0005845847,0.0006631269,0.00002842327,0.00008232756,0.00311901],"genre_scores_gemma":[0.9953784,0.002024751,0.001324117,0.0002189261,0.0001249129,0.000002048254,0.00003374727,0.00004037124,0.0008527397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2964736,"threshold_uncertainty_score":0.9997389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06846896687225736,"score_gpt":0.2270758231029472,"score_spread":0.1586068562306898,"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."}}