{"id":"W2134577393","doi":"10.1109/ectc.2010.5490833","title":"Development of an 18 &amp;#x00D7; 18 mm package-on-package using C4NP flip chip attach and back side grind","year":2010,"lang":"en","type":"article","venue":"","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Flip chip; Quad Flat No-leads package; Package on package; Die (integrated circuit); Chip-scale package; Grind; Integrated circuit packaging; Soldering; Grinding; Chip; Materials science; Wafer; Packaging engineering; Engineering drawing; Computer science; Mechanical engineering; Integrated circuit; Optoelectronics; Electrical engineering; Engineering; Composite material; Wafer dicing; Layer (electronics); Nanotechnology","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":[0.0006741459,0.0007175332,0.0004028052,0.000538589,0.0002325462,0.0005250301,0.001932527,0.0005796739,0.007022229],"category_scores_gemma":[0.0005671557,0.0005979506,0.0004303675,0.0003123406,0.0002144708,0.0005546469,0.0004063681,0.000867802,0.007062157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002761808,"about_ca_system_score_gemma":0.0008105939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005994042,"about_ca_topic_score_gemma":0.0007769901,"domain_scores_codex":[0.9993331,0.00003438344,0.00003396167,0.0001035389,0.0004459898,0.00004896337],"domain_scores_gemma":[0.9994546,0.00004493356,0.00007569096,0.00006669043,0.0002989231,0.00005920972],"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":[0.00007628297,0.0002845762,0.001134568,0.0004089895,0.00005464436,0.0004584068,0.0001334264,0.002349648,0.8565218,0.002991359,0.005743276,0.1298431],"study_design_scores_gemma":[0.00006304536,0.002449505,0.004686946,0.00004949931,0.00007954152,0.001724722,0.0000321925,0.01078839,0.8183722,0.0002741184,0.1614094,0.00007041191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1416605,0.001409293,0.8088814,0.0003145857,0.0008180732,0.002537287,0.001409398,0.006335681,0.03663386],"genre_scores_gemma":[0.1013036,0.001143666,0.8679338,0.0002530401,0.000090929,0.000977132,0.001314042,0.0007002197,0.02628357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007022229,"threshold_uncertainty_score":0.02349168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04527938184958245,"score_gpt":0.273495145407526,"score_spread":0.2282157635579436,"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."}}