{"id":"W2155541961","doi":"10.1109/ectc.2008.4550197","title":"C4NP technology: Manufacturability, yields and reliability","year":2008,"lang":"en","type":"article","venue":"","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Soldering; Materials science; Design for manufacturability; Wafer; Undercut; Fabrication; Electroplating; Reliability (semiconductor); Process engineering; Computer science; Reliability engineering; Mechanical engineering; Optoelectronics; Metallurgy; Engineering; Nanotechnology; Composite material","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":[0.0007752972,0.0004809008,0.0002844843,0.0009823018,0.0004101234,0.0009572611,0.001216192,0.0008344472,0.003145901],"category_scores_gemma":[0.00125904,0.0003247921,0.0002028494,0.00105507,0.0003122363,0.0009575721,0.0005162211,0.0003168886,0.001473396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278766,"about_ca_system_score_gemma":0.0008885069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003873639,"about_ca_topic_score_gemma":0.003309537,"domain_scores_codex":[0.9987249,0.00007719592,0.00003977558,0.0001196606,0.0009681038,0.00007039878],"domain_scores_gemma":[0.9994643,0.00005436636,0.00007237253,0.00006403443,0.0003166479,0.00002821065],"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":[0.0003382123,0.0001669476,0.006883121,0.0007439511,0.00005484082,0.0009410313,0.0002798318,0.01336521,0.6930739,0.01072075,0.01084655,0.2625856],"study_design_scores_gemma":[0.00004257118,0.0015332,0.01746332,0.00011563,0.0001084133,0.00251581,0.0001752552,0.03783005,0.8415738,0.003823745,0.09472234,0.00009584254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7243072,0.02754534,0.14326,0.001540059,0.0003582642,0.0004522947,0.001514246,0.002289564,0.09873307],"genre_scores_gemma":[0.8625203,0.006961951,0.08031003,0.0001048456,0.0001095902,0.0002521691,0.001569348,0.0003090138,0.0478628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003873639,"threshold_uncertainty_score":0.01052409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009390938879969894,"score_gpt":0.1988235756716082,"score_spread":0.1894326367916384,"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."}}