{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002497229,0.0005177048,0.0004608892,0.00146463,0.001203845,0.005266315,0.0005028388,0.00263449,0.006558279],"category_scores_gemma":[0.005188617,0.0002158642,0.000351484,0.002268989,0.003415285,0.007341888,0.001703593,0.002743304,0.0008522125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856229,"about_ca_system_score_gemma":0.002288581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006632386,"about_ca_topic_score_gemma":0.005782203,"domain_scores_codex":[0.9993128,0.0002826598,0.00002821813,0.0001167982,0.0002017189,0.00005781449],"domain_scores_gemma":[0.9970461,0.001663489,0.0001851043,0.000271393,0.0005195354,0.0003144589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001334672,0.0001240221,0.009465409,0.0006504823,0.00009927685,0.0003182425,0.0009603054,0.004433062,0.001148611,0.3826531,0.1696448,0.430369],"study_design_scores_gemma":[0.00001084835,0.00003990951,0.009023662,0.000433834,0.00002808284,0.0001852971,0.0009495907,0.005662681,0.0004793662,0.7810529,0.2020878,0.0000459236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.03083737,0.2297966,0.08689614,0.5592961,0.008743461,0.00009116435,0.001083904,0.001172919,0.0820823],"genre_scores_gemma":[0.606671,0.2063266,0.07476124,0.04051465,0.01733156,0.0002040428,0.001446908,0.0002403033,0.05250359],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006632386,"threshold_uncertainty_score":0.02193958,"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."}}