{"id":"W4392859648","doi":"10.3357/amhp.6397.2024","title":"Leveraging Space-Flown Technologies to Deliver Healthcare with Holographic Physical Examinations","year":2024,"lang":"en","type":"article","venue":"Aerospace Medicine and Human Performance","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physical examination; Medicine; Health care; Palpation; Medical physics; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001463796,0.0001685694,0.0002770064,0.0002994883,0.000240557,0.00002656284,0.00005308415,0.00005860222,0.00005375705],"category_scores_gemma":[0.00002749866,0.0001084854,0.00002997692,0.0005981295,0.0002801864,0.0001128117,0.00003566629,0.0003308979,0.00001846682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003061275,"about_ca_system_score_gemma":0.00002004863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004500267,"about_ca_topic_score_gemma":0.00002438941,"domain_scores_codex":[0.9990071,0.0000117143,0.000135184,0.0003279197,0.0002591403,0.0002589098],"domain_scores_gemma":[0.9994757,0.00009525583,0.00002342842,0.0001890878,0.00008081024,0.0001357048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003389796,0.0002736617,0.3442265,0.002178508,0.0003535909,0.0005937999,0.04133924,0.0002170505,0.003657228,0.04120329,0.003953267,0.5616648],"study_design_scores_gemma":[0.007043324,0.008013442,0.8657447,0.007024499,0.0004378002,0.0003886404,0.01546921,0.01954266,0.001230979,0.0005899794,0.07361369,0.0009011418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743865,0.0009338197,0.0001718662,0.01983186,0.00006270844,0.0002560629,9.788653e-7,0.0004754455,0.003880716],"genre_scores_gemma":[0.9980738,0.0001720252,0.0002143008,0.0006684167,0.0001773199,0.00003000913,0.0000124431,0.00002119659,0.0006304955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5607637,"threshold_uncertainty_score":0.4423905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355803009979099,"score_gpt":0.3250105375420571,"score_spread":0.2814525074422661,"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."}}