{"id":"W2901229552","doi":"10.25071/10315/35409","title":"Material Properties Of 3D Printed Parts: Challenges In Design And Analysis","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"3d printed; Computer science; Engineering drawing; Manufacturing engineering; Engineering","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":[0.0003062228,0.0001536586,0.0002812672,0.0006746274,0.00001527693,0.00001918914,0.0001630071,0.0001352817,0.00001546936],"category_scores_gemma":[0.0001024261,0.0001527609,0.00002306642,0.0003318707,0.00006844992,0.00005483142,0.00005194113,0.0001667969,0.000001286542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001097279,"about_ca_system_score_gemma":0.00002212017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001479961,"about_ca_topic_score_gemma":0.01346526,"domain_scores_codex":[0.9990411,0.0000200002,0.0002456223,0.0002030524,0.00007661781,0.0004136106],"domain_scores_gemma":[0.9996496,0.0000289344,0.00001919139,0.0001811774,0.00002106119,0.0001000725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001541214,0.0001375401,0.01316714,0.002840486,0.001550082,0.0002950763,0.003632357,0.1708486,0.01109156,0.02112437,0.00002712611,0.7751315],"study_design_scores_gemma":[0.0002530735,0.00008553578,0.01028011,0.0003975834,0.00004296628,0.000005407074,0.00008641903,0.6825007,0.3051914,0.0002315059,0.0005166183,0.000408669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989969,0.002211159,0.006691295,0.000159181,0.0002000452,0.0002891839,0.00001073153,0.0004062796,0.00006315816],"genre_scores_gemma":[0.9891229,0.000180521,0.01057907,0.000002542818,0.00002661863,0.0000623296,0.000001489114,0.00002361184,8.622201e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7747229,"threshold_uncertainty_score":0.7513933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123241936013764,"score_gpt":0.218924162989997,"score_spread":0.1876917436298593,"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."}}