{"id":"W3037104400","doi":"","title":"Rapid Prototyping for Learning: Making Revisions to Designs through 3D Printing","year":2018,"lang":"en","type":"article","venue":"EdMedia + Innovate Learning","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"3D printing; Rapid prototyping; Computer science; Human–computer interaction; Engineering; Mechanical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001499215,0.0002786969,0.0002793613,0.0002571551,0.0006145607,0.0002161762,0.0002652925,0.0001396332,0.0008054669],"category_scores_gemma":[0.003891021,0.0003049948,0.00006324874,0.001216128,0.00004992098,0.0004926592,0.0000772967,0.0009179811,0.0006050954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039222,"about_ca_system_score_gemma":0.00007901972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003067783,"about_ca_topic_score_gemma":0.000001201975,"domain_scores_codex":[0.9980107,0.0001612217,0.0005202564,0.0004002729,0.0002346121,0.0006729714],"domain_scores_gemma":[0.9984534,0.0006326651,0.0001715064,0.0002673074,0.0003754273,0.00009965514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001842968,0.00008667791,0.003166533,0.000783505,0.0002370606,0.00001070686,0.03363513,0.01954539,0.06297143,0.006421973,0.01996788,0.8529894],"study_design_scores_gemma":[0.0002788086,0.0002119531,0.0004414512,0.0003271773,0.00002154506,0.00001254749,0.0007286504,0.01557804,0.004606247,0.0001883598,0.977181,0.0004241984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03972137,0.0005871261,0.873081,0.003237985,0.004425097,0.003351185,0.000002415086,0.002651449,0.07294239],"genre_scores_gemma":[0.8296797,0.00007559751,0.1648041,0.0007789991,0.002448403,0.0005000576,0.00002313605,0.0001842349,0.001505755],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9572132,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0813246905871426,"score_gpt":0.348261446532548,"score_spread":0.2669367559454054,"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."}}