{"id":"W2023123400","doi":"10.3357/asem.2266.2009","title":"An Ambulatory Biomechanical Data Collection System for Use in Space: Design and Validation","year":2009,"lang":"en","type":"article","venue":"Aviation Space and Environmental Medicine","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Penn State College of Medicine; Johnson Space Center; Pennsylvania State University","keywords":"Instrumentation (computer programming); Spaceflight; Biomechanics; Data acquisition; Ground reaction force; Simulation; Data collection; International Space Station; Engineering; Computer science; Aeronautics; Medicine; Aerospace engineering; Physics","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":[0.005641842,0.0008368551,0.0006835861,0.001253441,0.0006298885,0.0008145758,0.001891336,0.0007192128,0.005826284],"category_scores_gemma":[0.005451086,0.000315442,0.0004126665,0.001006323,0.0005357747,0.0006927674,0.0009180313,0.0006123909,0.001999956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005065343,"about_ca_system_score_gemma":0.001529079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00162653,"about_ca_topic_score_gemma":0.001074047,"domain_scores_codex":[0.9973251,0.0007085881,0.0002720209,0.0003950397,0.001190178,0.0001090734],"domain_scores_gemma":[0.9945542,0.0009708552,0.0002992694,0.0006545228,0.003237468,0.0002837171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003129417,0.001746214,0.05774966,0.001639977,0.0004212052,0.0006301176,0.001031197,0.01051777,0.3880981,0.002091044,0.01280518,0.5201402],"study_design_scores_gemma":[0.002011715,0.02456661,0.1709541,0.0006474758,0.0008350926,0.002943782,0.0005732107,0.1872388,0.4999779,0.001290717,0.108562,0.0003986693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1767188,0.000382359,0.7991804,0.0003222408,0.0002892114,0.005262403,0.002898013,0.01271205,0.002234522],"genre_scores_gemma":[0.4006335,0.0004741663,0.579218,0.0004022375,0.0001850025,0.008185531,0.006211461,0.0007901054,0.003900059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005826284,"threshold_uncertainty_score":0.02983731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085438321990512,"score_gpt":0.2932738406142856,"score_spread":0.2524194573943805,"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."}}