{"id":"W4389192171","doi":"10.22215/etd/2023-15688","title":"In Space Manufacturing: A Novel Approach for 3D Printing On-Orbit","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"3D printing; Orbit (dynamics); Space (punctuation); Manufacturing engineering; Aerospace engineering; Computer science; Engineering; Engineering drawing; 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":[0.000201672,0.0004309823,0.0003244108,0.0004445651,0.0003995479,0.001078604,0.0006795436,0.000658737,0.004067997],"category_scores_gemma":[0.0002668074,0.0002734984,0.0006716301,0.000396098,0.0006295716,0.0005173386,0.0007996423,0.0005980472,0.001065343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002814361,"about_ca_system_score_gemma":0.000292759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004481712,"about_ca_topic_score_gemma":0.0006024709,"domain_scores_codex":[0.9996438,0.00004050768,0.00001448307,0.00005327011,0.0002276071,0.00002029691],"domain_scores_gemma":[0.9998399,0.00004733009,0.00002473163,0.00004906666,0.00002885102,0.00001015441],"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":[0.0001281565,0.0001527537,0.0009466967,0.0008827747,0.0000628292,0.0008489768,0.0008402735,0.1005203,0.5252592,0.07767529,0.002639172,0.2900437],"study_design_scores_gemma":[0.00004353581,0.0007365256,0.002138038,0.0001367997,0.0001088316,0.003260889,0.0002514596,0.3973952,0.3753049,0.020851,0.1996378,0.0001350755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02098711,0.001335828,0.946582,0.0002098538,0.0001901404,0.00007460785,0.00005865667,0.0008350501,0.02972672],"genre_scores_gemma":[0.348224,0.002623552,0.6244514,0.0001627948,0.0000924151,0.0001182564,0.0001007942,0.000197444,0.02402931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004067997,"threshold_uncertainty_score":0.01360875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511764971038086,"score_gpt":0.2542825267224387,"score_spread":0.2291648770120578,"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."}}