{"id":"W3135107913","doi":"","title":"Investigation of additive manufacturing process parameters for sustainability to optimize energy and material consumption","year":2020,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Energy consumption; Manufacturing engineering; Process (computing); Process engineering; Consumption (sociology); Manufacturing process; Engineering; Computer science; Materials science; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008538109,0.0004680868,0.0004760247,0.0006088614,0.0002555701,0.001157857,0.0003584004,0.0004135356,0.001151785],"category_scores_gemma":[0.001261245,0.0002306914,0.0006464112,0.0008208033,0.0001740458,0.0006651258,0.0002595472,0.0005227724,0.0003304452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005177351,"about_ca_system_score_gemma":0.0005048441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000547711,"about_ca_topic_score_gemma":0.001046273,"domain_scores_codex":[0.9994467,0.00006409133,0.00004855145,0.00007525879,0.0003198973,0.00004542304],"domain_scores_gemma":[0.999405,0.0002528127,0.0001378114,0.00004994763,0.0001438992,0.0000104583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003935439,0.0003582491,0.009383782,0.002612043,0.00007761153,0.000353372,0.0002221989,0.08761486,0.7739344,0.003597749,0.0009528259,0.1204994],"study_design_scores_gemma":[0.00001662311,0.001176799,0.01112969,0.0001610267,0.0001996626,0.0002601931,0.0002555672,0.06679889,0.9062751,0.001104747,0.01256899,0.00005267649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140793,0.009663664,0.05829828,0.0002980743,0.0001037943,0.0002336125,0.0007657711,0.000251809,0.01630571],"genre_scores_gemma":[0.9684479,0.004255068,0.0252144,0.00003565752,0.00001017599,0.0001211438,0.0002317392,0.00005132685,0.001632628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001157857,"threshold_uncertainty_score":0.004515409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503003907538184,"score_gpt":0.2052255564286569,"score_spread":0.190195517353275,"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."}}