{"id":"W4317381950","doi":"10.1109/eptc56328.2022.10013135","title":"Laser Package Singulation: A Promising Singulation Method for Better Package Integrity and Quality","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 24th Electronics Packaging Technology Conference (EPTC)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Package design; Package on package; Computer science; Materials science; Engineering; Optoelectronics; Engineering drawing","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":[0.0003711959,0.0004845358,0.000382878,0.0008194752,0.0004053782,0.0006036326,0.0006455754,0.0006629081,0.003321159],"category_scores_gemma":[0.0003207426,0.0002710489,0.0004618347,0.0005102251,0.0004613973,0.0008481754,0.0004948204,0.000598123,0.001535448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003411548,"about_ca_system_score_gemma":0.0003643811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003335194,"about_ca_topic_score_gemma":0.0009784792,"domain_scores_codex":[0.9994215,0.00005587334,0.00002056711,0.0001215826,0.0003305205,0.00004996551],"domain_scores_gemma":[0.9996718,0.00005104172,0.0000842607,0.00006358209,0.000108975,0.0000204176],"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":[0.00007104284,0.00003351512,0.000537125,0.0004599546,0.00002260217,0.000224693,0.0001277012,0.0005492308,0.9064475,0.001097439,0.001483473,0.0889458],"study_design_scores_gemma":[0.00001528206,0.0006865227,0.00237498,0.0000285473,0.00004736413,0.001536357,0.00008172603,0.002996989,0.9552484,0.0003337637,0.03660731,0.00004279213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4074188,0.02907536,0.5246719,0.001185641,0.0009070422,0.0004245258,0.0005432585,0.003963843,0.03180958],"genre_scores_gemma":[0.7572679,0.008647161,0.1948357,0.0005839305,0.0002661141,0.0002079576,0.0003340196,0.0006577729,0.03719948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003321159,"threshold_uncertainty_score":0.01111042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394293429879233,"score_gpt":0.280642680536267,"score_spread":0.2566997462374747,"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."}}