{"id":"W3194034373","doi":"10.2217/3dp-2021-0005","title":"Evaluation of 3D-Printer Settings for Producing Personal Protective Equipment","year":2021,"lang":"en","type":"article","venue":"Journal of 3D Printing in Medicine","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Technation Canada; Canada Research Chairs; University of Victoria","keywords":"Infill; Materials science; Ultimate tensile strength; Economic shortage; Shell (structure); Shield; Composite material; Line (geometry); 3D printing; Structural engineering; Engineering; Mathematics; Geology; Geometry","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":[0.005426086,0.000142882,0.0003897357,0.0002694873,0.00003535718,0.000009495457,0.0001586037,0.00007636129,0.00007157978],"category_scores_gemma":[0.005855911,0.0001190285,0.00006445408,0.0001747399,0.00006915371,0.00008491193,0.00007859821,0.0004731881,6.754394e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002353206,"about_ca_system_score_gemma":0.0001001985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005017909,"about_ca_topic_score_gemma":0.000004146644,"domain_scores_codex":[0.998219,0.00009528924,0.0006765085,0.0001699338,0.0006223458,0.0002169949],"domain_scores_gemma":[0.9982886,0.0002476178,0.0003606371,0.0001518911,0.0009218691,0.00002935123],"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":[0.0000814735,0.000140863,0.003899881,0.001581085,0.0005713462,0.00004329794,0.01438014,0.02350034,0.1377939,0.00009264127,0.0008793507,0.8170357],"study_design_scores_gemma":[0.0036666,0.000457076,0.03141901,0.006411028,0.0003426535,0.0001933746,0.0054908,0.04826884,0.8990126,0.002888821,0.001516406,0.0003327755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758208,0.0005976331,0.02111423,0.00093318,0.0004493559,0.0003415473,0.000001427313,0.00005692564,0.0006849169],"genre_scores_gemma":[0.9750129,0.00002690709,0.02457487,0.00002013479,0.000297995,0.00002404009,0.000001306968,0.00002119201,0.0000206846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8167029,"threshold_uncertainty_score":0.7010496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911772377877955,"score_gpt":0.3012644849681035,"score_spread":0.262146761189324,"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."}}