{"id":"W2900516221","doi":"10.25071/10315/35404","title":"Constrained Topology Optimization For Additive Manufacturing Of Structural Components In Ansys®","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Topology optimization; Topology (electrical circuits); Computer science; Finite element method; Structural engineering; Engineering; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001651316,0.0002119764,0.0003197945,0.0006310698,0.0000284056,0.00001244049,0.0002014229,0.000224181,0.0001156955],"category_scores_gemma":[0.00008750734,0.0002652887,0.00004135058,0.0002612293,0.00009301145,0.0001226696,0.00002153784,0.0002128988,0.000001226871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003634103,"about_ca_system_score_gemma":0.00005141688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069871,"about_ca_topic_score_gemma":0.009701725,"domain_scores_codex":[0.9985783,0.0000141604,0.0004452374,0.0002285381,0.00008554356,0.0006482183],"domain_scores_gemma":[0.9994662,0.0000968536,0.00003504181,0.0001554773,0.00004808044,0.0001983267],"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":[0.0000103433,0.000004727881,0.0005929345,0.00009491388,0.00002431749,0.00001020387,0.0001202474,0.9917426,0.0001729332,0.004759884,0.000007073265,0.002459898],"study_design_scores_gemma":[0.0006514739,0.000045484,0.001443744,0.00009169064,0.000005807732,0.00001132692,0.00002377269,0.9871375,0.01003774,0.0001165582,0.000197387,0.0002375048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4519857,0.000643667,0.5406969,0.0002852774,0.00335446,0.001743969,0.0003400355,0.0005641629,0.0003859242],"genre_scores_gemma":[0.9361087,0.000008224067,0.06357218,0.00001494082,0.00008762178,0.0001047051,0.00004825048,0.00005364691,0.000001719659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4841231,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00956446908090341,"score_gpt":0.2292461234704088,"score_spread":0.2196816543895054,"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."}}