{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003872897,0.001793744,0.0007137171,0.001762737,0.0007860875,0.005275313,0.002720452,0.002181844,0.01955774],"category_scores_gemma":[0.01319729,0.001320719,0.001226797,0.001089891,0.00286773,0.003750114,0.004534118,0.001759807,0.00494947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004966437,"about_ca_system_score_gemma":0.0007422709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003899946,"about_ca_topic_score_gemma":0.0006349589,"domain_scores_codex":[0.9956801,0.001276869,0.0002021925,0.0004742211,0.002139363,0.0002272735],"domain_scores_gemma":[0.9882406,0.007317319,0.0003829552,0.002776434,0.0009926279,0.0002899856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003930733,0.0002585144,0.0009607094,0.0009408131,0.00007652641,0.0009094599,0.003444577,0.01790682,0.09357423,0.03450232,0.01065815,0.8363749],"study_design_scores_gemma":[0.0003402463,0.001774928,0.003302824,0.0006233781,0.0002661612,0.005117915,0.002593287,0.1396218,0.4740406,0.08045863,0.2912275,0.0006327458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02604951,0.0006759617,0.9343787,0.0003759359,0.0004490337,0.000219233,0.0001198695,0.006301143,0.03143068],"genre_scores_gemma":[0.1948727,0.0009096971,0.7812212,0.0001980496,0.00008949254,0.0002326448,0.0001628434,0.00131534,0.02099808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01955774,"threshold_uncertainty_score":0.06542718,"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."}}