{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002192982,0.000218657,0.0002231494,0.0001938395,0.0001530586,0.00009628449,0.0002793311,0.0001366375,0.000003696556],"category_scores_gemma":[0.000129609,0.0002234533,0.00005989006,0.0005897346,0.00004947963,0.0001714974,0.00003395065,0.0002610387,0.00005835211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006790567,"about_ca_system_score_gemma":0.00001573112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003725373,"about_ca_topic_score_gemma":8.080813e-7,"domain_scores_codex":[0.998675,0.000001055215,0.0002134864,0.0002679826,0.0001554301,0.0006870657],"domain_scores_gemma":[0.9996748,0.00004654943,0.00004315821,0.00009859959,0.0000822429,0.00005465958],"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":[0.0001162385,0.00008551508,0.01885169,0.005939291,0.0005665219,0.00002581365,0.01443622,0.0787547,0.7446751,0.01962998,0.09789915,0.01901977],"study_design_scores_gemma":[0.001875654,0.0002420766,0.002474994,0.0004513797,0.00007716292,0.00005190424,0.00471429,0.2498142,0.7026542,0.03000558,0.006157116,0.001481477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897107,0.0001107061,0.0003136618,0.0003594513,0.0001364658,0.0002604307,0.000007657958,0.007541749,0.001559167],"genre_scores_gemma":[0.9986153,0.00003122023,0.000647492,0.00002191886,0.0001252152,0.00008964802,0.00001272272,0.00008515485,0.0003713492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1710595,"threshold_uncertainty_score":0.911216,"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."}}