{"id":"W2332404708","doi":"10.1115/imece2015-52615","title":"An Analysis of Variation Correlating Post Processing Infiltrate Types, Build Parameters and Mechanical Characteristics for Binder Jet Built Parts","year":2015,"lang":"en","type":"article","venue":"Volume 2A: Advanced Manufacturing","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Materials science; Ultimate tensile strength; Factorial experiment; Brittleness; Design of experiments; Composite material; Fractional factorial design; Compression (physics); Material properties; Mold; Compressive strength; Computer science; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002994456,0.0002846252,0.000495977,0.0004454161,0.00011057,0.00008354938,0.000192377,0.0001527076,0.000006756953],"category_scores_gemma":[0.0002888111,0.0002855202,0.00008319059,0.0002407925,0.00005989087,0.0004030271,0.00007278407,0.000248725,0.000001824916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009373478,"about_ca_system_score_gemma":0.00002252698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004243592,"about_ca_topic_score_gemma":0.00004880216,"domain_scores_codex":[0.9985675,0.00002731124,0.0004466349,0.000382649,0.0001756969,0.0004002427],"domain_scores_gemma":[0.9990474,0.0001394248,0.0002301355,0.0003346535,0.0001196137,0.0001287586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001500694,0.00008794144,0.007290449,0.0005316836,0.0008892653,0.000009069142,0.001469781,0.7024356,0.0167715,0.0002896691,0.00004240862,0.2700326],"study_design_scores_gemma":[0.0007013037,0.0002185311,0.06105084,0.0001303767,0.0006608989,0.000005401108,0.000494413,0.6794588,0.2539167,0.002003646,0.0007277868,0.0006313326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8516131,0.00005800485,0.1472149,0.0000346477,0.0001854689,0.0002221571,0.00007818369,0.0005670323,0.00002652562],"genre_scores_gemma":[0.9565809,0.00001728877,0.04311945,0.00002471124,0.0000380333,0.00003874939,0.0001128366,0.00005040048,0.00001766236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2694012,"threshold_uncertainty_score":0.9999597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835299370841846,"score_gpt":0.2471163804921782,"score_spread":0.2287633867837597,"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."}}