{"id":"W4392272394","doi":"10.4071/001c.90880","title":"High Speed Copper Plating Process for IC Substrate","year":2023,"lang":"en","type":"article","venue":"IMAPSource Proceedings","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Conductor; Integrated circuit; Chip; Plating (geology); Substrate (aquarium); Materials science; Electronic circuit; Electrolyte; Copper plating; Optoelectronics; Electrical engineering; Electronic engineering; Electroplating; Layer (electronics); Nanotechnology; Engineering; Composite material; Electrode; Chemistry","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":[0.0002389802,0.0006078421,0.0003106638,0.0004295617,0.0003163105,0.0005123568,0.0007729697,0.0004530564,0.00611765],"category_scores_gemma":[0.0004716885,0.0002647303,0.0002103487,0.0004741607,0.0001589492,0.0003743207,0.0003245429,0.0006334863,0.003118121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004235901,"about_ca_system_score_gemma":0.0004194079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008438572,"about_ca_topic_score_gemma":0.001406709,"domain_scores_codex":[0.9996146,0.00002806702,0.00003010497,0.00008668102,0.0002013886,0.00003904755],"domain_scores_gemma":[0.9997494,0.00003274843,0.0000362358,0.00005682302,0.0001138969,0.00001092582],"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":[0.00004652981,0.00002098105,0.0002346867,0.000271569,0.000009129869,0.0001886833,0.00005417624,0.0002873967,0.9682972,0.0009011188,0.002231002,0.02745753],"study_design_scores_gemma":[0.000016579,0.0001915863,0.0009883501,0.0000204219,0.00001687149,0.000503503,0.00003101472,0.001656621,0.9638278,0.0001244735,0.03261092,0.00001186409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5397235,0.009380003,0.349745,0.001010875,0.00226332,0.001520714,0.001245879,0.006132966,0.08897772],"genre_scores_gemma":[0.7202526,0.003874566,0.2052864,0.0003164999,0.0001131809,0.0004148259,0.0009462634,0.0003926683,0.06840304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00611765,"threshold_uncertainty_score":0.02046555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080537111563575,"score_gpt":0.2515445781112166,"score_spread":0.2307392069955809,"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."}}