{"id":"W2782631028","doi":"10.1115/1.4039007","title":"A Study of Design Fixation Related to Additive Manufacturing","year":2018,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Family and Community Medicine, University of Toronto","keywords":"Design for manufacturability; Manufacturing engineering; Computer science; Machining; Product design; Product (mathematics); Engineering; Mathematics; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009033882,0.00015859,0.0003289538,0.0002851339,0.00005423747,0.00001840298,0.0003279953,0.0001219748,0.00008288018],"category_scores_gemma":[0.0005277635,0.0001322704,0.0000714303,0.0001723735,0.00002880012,0.0001124718,0.00006648869,0.0003406848,0.00003221776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007390817,"about_ca_system_score_gemma":0.0000177744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002058731,"about_ca_topic_score_gemma":8.091499e-7,"domain_scores_codex":[0.9986287,0.0001622686,0.0005814769,0.0001307325,0.0002928257,0.0002040198],"domain_scores_gemma":[0.9989169,0.0004131475,0.0002267705,0.000195739,0.0001658194,0.00008161309],"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":[0.001807175,0.001556392,0.00002973782,0.0001130473,0.002378083,0.0005758439,0.009790428,0.2061279,0.1340149,0.001646189,0.0294029,0.6125575],"study_design_scores_gemma":[0.0006149327,0.003251477,0.0006280725,0.0001208018,0.00005376852,0.00004378852,0.0007027593,0.00294905,0.9843166,0.006996832,0.0001632421,0.0001586626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4222696,0.00001179849,0.5769469,0.00003213943,0.0002631818,0.0002402414,0.000001687934,0.0001325943,0.0001018395],"genre_scores_gemma":[0.9570609,0.00001217512,0.04278466,0.00001160527,0.00007678245,0.000006736841,2.324336e-7,0.00002613921,0.00002076102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8503017,"threshold_uncertainty_score":0.5393832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03755629228932564,"score_gpt":0.2612259171674554,"score_spread":0.2236696248781297,"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."}}