{"id":"W4407015805","doi":"10.52202/078370-0051","title":"Multi-Material 3D Printing of a Magnetron","year":2024,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Cavity magnetron; Computer science; 3D printing; Materials science; Composite material; Nanotechnology; Thin film","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":[0.000363893,0.0004446736,0.0004788378,0.0006816289,0.0003658818,0.001081993,0.00072251,0.00105486,0.005199749],"category_scores_gemma":[0.0002967041,0.0004233281,0.0007334596,0.0004451151,0.0003246079,0.0006378474,0.0006143835,0.0005833936,0.002607071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000489711,"about_ca_system_score_gemma":0.0003342145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000224042,"about_ca_topic_score_gemma":0.0006136149,"domain_scores_codex":[0.9995202,0.0000297495,0.00002588939,0.0000897671,0.0002757266,0.00005871265],"domain_scores_gemma":[0.9997818,0.00004888436,0.0000330181,0.00007109385,0.00003697757,0.00002826572],"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":[0.0001052169,0.00003168491,0.00014499,0.000135767,0.00001802799,0.0003802971,0.00004904166,0.002417751,0.9739717,0.00261703,0.001015008,0.01911359],"study_design_scores_gemma":[0.00002189863,0.0002101261,0.0009990595,0.00001362319,0.0000273137,0.0008834929,0.00002477226,0.007830379,0.96961,0.0004399871,0.01989682,0.00004251979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5023286,0.004661024,0.3920748,0.0009488065,0.002508618,0.0002045065,0.00109305,0.008352282,0.08782822],"genre_scores_gemma":[0.7894978,0.0007656881,0.1737342,0.0002240164,0.0001131418,0.00006526827,0.000319261,0.0004621252,0.03481854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005199749,"threshold_uncertainty_score":0.01739496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242448100822461,"score_gpt":0.2211511396203509,"score_spread":0.2087266586121263,"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."}}