{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004193801,0.0007280168,0.0005334589,0.0007874764,0.0006686116,0.002067486,0.0008308566,0.001583721,0.008775665],"category_scores_gemma":[0.001427892,0.0004103088,0.0006086595,0.000910007,0.001181949,0.0006702074,0.001799815,0.0008065746,0.001356145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003827712,"about_ca_system_score_gemma":0.0003371281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008844656,"about_ca_topic_score_gemma":0.001556682,"domain_scores_codex":[0.9994012,0.0001409447,0.00002544452,0.0000634512,0.0003181792,0.00005067404],"domain_scores_gemma":[0.9990983,0.0004828836,0.0000482657,0.0002404961,0.00007670571,0.00005338223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005342298,0.0001903244,0.00350247,0.0008131541,0.00009630086,0.002397054,0.001239846,0.4056215,0.163129,0.02421106,0.004476677,0.3937884],"study_design_scores_gemma":[0.0001164902,0.0008203183,0.01396543,0.0002818667,0.0001492797,0.005697907,0.001070965,0.6512729,0.1887842,0.05872202,0.07873873,0.0003798357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3319543,0.00669661,0.500476,0.002561862,0.001065908,0.000185721,0.0004742396,0.003884505,0.1527009],"genre_scores_gemma":[0.9284119,0.001857766,0.05831081,0.0001687468,0.00009871136,0.00003333115,0.00007981655,0.0002116063,0.0108273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008775665,"threshold_uncertainty_score":0.02935749,"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."}}