{"id":"W3199967352","doi":"10.7251/sted1902021b","title":"INTERCONNECTION OF MATERIALS SCIENCE, 3D PRINTING AND MATHEMATIC IN INTERDISCIPLINARY EDUCATION","year":2019,"lang":"en","type":"article","venue":"STED JOURNAL","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"3D printing; Joins; Process (computing); Computer science; Variety (cybernetics); Curriculum; Fused deposition modeling; Field (mathematics); Object (grammar); Layer (electronics); Multimedia; Three dimensional printing; Engineering drawing; Engineering; Mechanical engineering; Nanotechnology; Materials science; Sociology; Artificial intelligence; Mathematics; Pedagogy","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":[0.001992698,0.0005643567,0.0004740237,0.003416579,0.000883561,0.006334133,0.0007080619,0.00172738,0.01729949],"category_scores_gemma":[0.001989983,0.0003619279,0.0004366201,0.003163829,0.005079322,0.005772012,0.003864764,0.002375589,0.004086292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002063106,"about_ca_system_score_gemma":0.001905311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000520861,"about_ca_topic_score_gemma":0.0009782891,"domain_scores_codex":[0.9981757,0.0007092135,0.0001548079,0.0001924817,0.0006640813,0.000103619],"domain_scores_gemma":[0.9982601,0.0008839038,0.000123356,0.0002487178,0.0002525746,0.0002314238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002654796,0.00005423163,0.0008143369,0.000730799,0.00001466317,0.0002054379,0.001038743,0.001107158,0.001618719,0.5205578,0.01430408,0.4595275],"study_design_scores_gemma":[0.000005837762,0.00005116253,0.001285673,0.000746022,0.0000103486,0.0006864963,0.0006905842,0.002741308,0.001483889,0.3353439,0.656925,0.00002983061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01040915,0.205854,0.2241647,0.035795,0.003856082,0.0001114504,0.0001068874,0.001176245,0.5185264],"genre_scores_gemma":[0.2813722,0.2190953,0.2821718,0.007073584,0.006088977,0.0003561412,0.0001788924,0.0005341842,0.2031289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01729949,"threshold_uncertainty_score":0.05787259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007078511817142181,"score_gpt":0.2464099385794082,"score_spread":0.239331426762266,"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."}}