{"id":"W4388554889","doi":"10.3390/life13112183","title":"Predicting Bone Adaptation in Astronauts during and after Spaceflight","year":2023,"lang":"en","type":"article","venue":"Life","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Japan Aerospace Exploration Agency; National Aeronautics and Space Administration","keywords":"Spaceflight; Quantitative computed tomography; Population; Adaptation (eye); Weightlessness; Biomedical engineering; Nuclear medicine; Computer science; Bone density; Medicine; Physics; Pathology; Osteoporosis","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":[0.0001739671,0.00008678514,0.0001761472,0.0002013825,0.0000227667,0.000007157514,0.00001769805,0.00008153992,0.00004047488],"category_scores_gemma":[0.0002427954,0.00007646054,0.00002040599,0.0002396131,0.00002875624,0.00005209332,0.00004261346,0.0001295107,0.00008600062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002864738,"about_ca_system_score_gemma":0.00002523905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003554761,"about_ca_topic_score_gemma":0.00009813691,"domain_scores_codex":[0.9992903,0.00003784417,0.0001420862,0.0001990084,0.0001031158,0.0002276794],"domain_scores_gemma":[0.9996573,0.00007261587,0.0000339639,0.0001146906,0.0000150133,0.0001063617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002963006,0.00001865327,0.981724,0.00009575886,0.00001680628,0.0002327068,0.0009545564,0.00002227017,0.01584498,0.00002455931,0.0001482664,0.0006212006],"study_design_scores_gemma":[0.001361127,0.000111751,0.9934396,0.0001117855,0.00001283721,0.00003371648,0.0002909789,0.002517219,0.001529629,0.00001240622,0.0005125603,0.00006643103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961518,0.000240771,0.00001754407,0.002625609,0.0001242797,0.0002326216,0.000002215458,0.0001417891,0.0004633574],"genre_scores_gemma":[0.9984643,0.00003915743,0.0003203307,0.0002229105,0.0001910918,0.00005054171,0.00001106539,0.00001607851,0.0006844653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01431535,"threshold_uncertainty_score":0.311797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082065328254503,"score_gpt":0.2509950595525897,"score_spread":0.2401744062700447,"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."}}