{"id":"W2331584274","doi":"10.3357/amhp.4556.2016","title":"Applications of 3D Printing in Austere Environments","year":2016,"lang":"en","type":"article","venue":"Aerospace Medicine and Human Performance","topic":"Architecture and Computational Design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Hum; Nanotechnology; Computer science; Materials science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000617722,0.00006136645,0.0000926382,0.00005633061,0.00002989502,0.000001220264,0.00004831854,0.00001901618,0.00003177256],"category_scores_gemma":[0.000001890582,0.00004108686,0.000005828992,0.00005076854,0.0000689676,0.00004847226,0.00001489898,0.00004546075,0.000006426322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001111953,"about_ca_system_score_gemma":0.000001965085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003957996,"about_ca_topic_score_gemma":0.000007258327,"domain_scores_codex":[0.9996363,0.000004022014,0.0001236501,0.0000745861,0.00007447146,0.00008695315],"domain_scores_gemma":[0.9998388,0.00003217825,0.00002190312,0.00008019271,0.000004115156,0.00002279062],"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":[0.00001752838,0.00005903416,0.2734437,0.0006136174,0.00005338393,0.000002972363,0.005343731,0.004810174,0.131075,0.004720119,0.0009472193,0.5789136],"study_design_scores_gemma":[0.003320264,0.0004882604,0.9244002,0.00132498,0.0000381209,0.0000185443,0.0002992719,0.008204918,0.01274191,0.001634181,0.04697625,0.0005530599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670554,0.0001922035,0.02983634,0.0001130692,0.00001547006,0.0001055586,5.533498e-7,0.00002042368,0.002660985],"genre_scores_gemma":[0.9989639,0.0001338907,0.0004216211,0.00002389704,0.0000518545,0.00002094047,0.000001283472,0.000007153377,0.0003754811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6509565,"threshold_uncertainty_score":0.1675474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00931744711754812,"score_gpt":0.2189639868436133,"score_spread":0.2096465397260652,"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."}}