{"id":"W4386849794","doi":"10.1007/s13243-023-00133-0","title":"Repair of additive manufactured thin-wall geometry using electrospark deposition","year":2023,"lang":"en","type":"article","venue":"Journal of remanufacturing","topic":"Surface Treatment and Coatings","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Huys Industries (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Deposition (geology); Thin film; Substrate (aquarium); Porosity; Welding; Composite material; Wafer; Scrap; Mechanical engineering; Metallurgy; Optoelectronics; Nanotechnology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003063873,0.0005705639,0.0004234439,0.0005492653,0.0004166337,0.0005385733,0.0007179323,0.0008131399,0.002200605],"category_scores_gemma":[0.0004070697,0.0003321948,0.0006385362,0.0002256552,0.0003213397,0.0003179462,0.0005142047,0.0005874671,0.0008555892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001630467,"about_ca_system_score_gemma":0.0003114123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000312384,"about_ca_topic_score_gemma":0.000726742,"domain_scores_codex":[0.9997239,0.00001180079,0.0000208059,0.00005146995,0.0001404155,0.00005162859],"domain_scores_gemma":[0.9995013,0.0000552589,0.0001072976,0.0002186887,0.00007439053,0.00004303641],"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":[0.0001428495,0.00004904569,0.0007721981,0.0001215767,0.00003309021,0.001346357,0.0001133965,0.003881166,0.9802861,0.0004216452,0.0003535471,0.01247913],"study_design_scores_gemma":[0.00001683894,0.0004932114,0.005118512,0.00001714119,0.00005918404,0.001386915,0.00008419099,0.008525176,0.9782603,0.000139462,0.005874797,0.00002415579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680644,0.0005433733,0.02577146,0.00005801789,0.0003038419,0.00006017317,0.0002054903,0.0007925051,0.004200805],"genre_scores_gemma":[0.9745362,0.000168575,0.01881657,0.00002877143,0.00001446475,0.00001995856,0.0001802522,0.0001207615,0.006114287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002200605,"threshold_uncertainty_score":0.00736177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109869978931301,"score_gpt":0.2266937339089775,"score_spread":0.2155950341196645,"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."}}