{"id":"W4389584914","doi":"10.17118/11143/21055","title":"Electroforming of additively manufactured conductive molds formanufacture of miniature metal parts","year":2023,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Ontario Tech University","funders":"","keywords":"Electroforming; Electrical conductor; Materials science; Mold; Metallurgy; Engineering drawing; Composite material; 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":[0.0001504438,0.0003522472,0.0001597155,0.0002646698,0.00007162977,0.0002453688,0.0001866154,0.0002245403,0.0006949761],"category_scores_gemma":[0.0002173566,0.0001565121,0.0002924984,0.0001538419,0.0001961707,0.0001435696,0.0002428304,0.000207682,0.0002652546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142459,"about_ca_system_score_gemma":0.00009607658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001457002,"about_ca_topic_score_gemma":0.0002529255,"domain_scores_codex":[0.9998618,0.000008555365,0.000012435,0.00003026876,0.00006380078,0.00002316779],"domain_scores_gemma":[0.9998307,0.00002743214,0.00006007373,0.00004914798,0.00001933806,0.00001325486],"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":[0.00001958157,0.00001185306,0.0001848809,0.00003971197,0.000004510759,0.00009781835,0.00002110364,0.0005425123,0.9949647,0.0001028562,0.00003379377,0.003976664],"study_design_scores_gemma":[0.000002711521,0.00008522096,0.001357553,0.000002799072,0.000005190219,0.00009357442,0.000003690388,0.001415015,0.9960881,0.00001529905,0.0009281241,0.000002598241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704573,0.0005001861,0.02528518,0.00002608736,0.0001009141,0.00004548792,0.0001171113,0.0004385494,0.00302916],"genre_scores_gemma":[0.9833292,0.0001619048,0.01472743,0.00001393924,0.000006857175,0.00001303757,0.0000691828,0.00004673238,0.001631796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006949761,"threshold_uncertainty_score":0.002324998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401741623610714,"score_gpt":0.2227021710181806,"score_spread":0.2086847547820734,"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."}}