{"id":"W3168685447","doi":"10.1109/aero50100.2021.9438367","title":"Adaption-Based Analytics for Assessment of Human Deconditioning during Deep Space Exploration","year":2021,"lang":"en","type":"article","venue":"","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Canada Research Chairs","keywords":"Space exploration; Computer science; Big data; Analytics; Data science; Situation awareness; Context (archaeology); Modalities; Health care; Systems engineering; Engineering; Aerospace engineering; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000137973,0.00008097653,0.0002205956,0.0001037708,0.00007309373,0.000008775235,0.00002473947,0.00006930456,0.0003830936],"category_scores_gemma":[0.000119622,0.00007513285,0.00008419657,0.0001378431,0.00002695509,0.00006070704,0.00001106024,0.00006045553,0.000002684881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009824942,"about_ca_system_score_gemma":0.0001275235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009546578,"about_ca_topic_score_gemma":0.0001542636,"domain_scores_codex":[0.9993447,0.00003698176,0.0002014136,0.0001790089,0.0001093971,0.0001284698],"domain_scores_gemma":[0.9992363,0.0001509377,0.00009635637,0.0001957623,0.0002669587,0.00005371512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000512044,0.000210615,0.03799442,0.0002821203,0.0001138851,0.00001859201,0.00006051036,0.001770783,0.9455958,0.01357748,0.0001999793,0.0001246093],"study_design_scores_gemma":[0.003366719,0.0006473698,0.1082552,0.0001102036,0.0001704474,0.00001182389,0.0005884629,0.05935596,0.8268238,0.0003889794,0.000145524,0.0001355801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7279186,0.00002851933,0.2679467,0.001632952,0.00007100836,0.0003209263,0.000003823617,0.00004637635,0.002031112],"genre_scores_gemma":[0.9636374,0.000003433691,0.03515634,0.0001566715,0.0000769422,0.0000508486,0.0002501497,0.00001289876,0.0006553082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2357188,"threshold_uncertainty_score":0.4194607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05276816186629141,"score_gpt":0.37208892664156,"score_spread":0.3193207647752686,"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."}}