{"id":"W3025330057","doi":"10.1149/ma2020-01211282mtgabs","title":"Electroforming on Additively Manufactured Mandrels","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Electroforming; 3D printing; Mandrel; Rapid prototyping; Process engineering; Batch production; Production (economics); Computer science; Mechanical engineering; Manufacturing engineering; Materials science; Engineering; Nanotechnology","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":[0.0001996766,0.0002960646,0.0002556296,0.0003904857,0.0002092295,0.0003116808,0.0003101796,0.0003635074,0.001629752],"category_scores_gemma":[0.0004831361,0.0002359461,0.0003240473,0.0002233757,0.0003179044,0.0003031549,0.0002736729,0.0004242365,0.0006602798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001990698,"about_ca_system_score_gemma":0.0001031463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001734723,"about_ca_topic_score_gemma":0.0004447402,"domain_scores_codex":[0.99968,0.00002174075,0.00001560049,0.00006056418,0.0001945082,0.00002757648],"domain_scores_gemma":[0.9998403,0.00003015921,0.00003908282,0.00003786433,0.00003859902,0.00001392801],"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":[0.0000833184,0.00003468038,0.0005617209,0.000482442,0.0000183304,0.0009115438,0.0002082715,0.002911686,0.9586014,0.003450645,0.00156672,0.03116932],"study_design_scores_gemma":[0.00001651301,0.0009808397,0.005076204,0.00006515632,0.0000363664,0.001530607,0.00007399687,0.00899117,0.9396732,0.0007239377,0.04280037,0.00003166937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8867293,0.01101452,0.05921655,0.0004652147,0.001296446,0.0001297572,0.0002726631,0.0009748975,0.03990069],"genre_scores_gemma":[0.9636046,0.001634664,0.026361,0.000103057,0.00008894716,0.00002960013,0.0001041268,0.0000940606,0.007979984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001629752,"threshold_uncertainty_score":0.005452037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681447677149791,"score_gpt":0.2123177366702114,"score_spread":0.1955032598987134,"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."}}