{"id":"W4400063038","doi":"10.1109/ectc51529.2024.00230","title":"Laser Attach Process Development and Material Selection","year":2024,"lang":"en","type":"article","venue":"","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Materials science; Laser; Wafer; Photonics; Optoelectronics; Silicon photonics; Reliability (semiconductor); Chip; Flip chip; Photonic integrated circuit; Die (integrated circuit); Silicon; Optics; Power (physics); Nanotechnology; Engineering; Electrical engineering; Adhesive; Layer (electronics)","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":[0.0005888268,0.000964764,0.0006096291,0.0008501249,0.0005487339,0.0005498949,0.0007069861,0.0005472985,0.003513947],"category_scores_gemma":[0.0005762717,0.0005634223,0.0003670387,0.000579673,0.0001929979,0.0003658313,0.0005332726,0.0007640703,0.002641967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002696082,"about_ca_system_score_gemma":0.0006444464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004342052,"about_ca_topic_score_gemma":0.001050571,"domain_scores_codex":[0.9995782,0.00003257905,0.00003065578,0.00009402299,0.0002099857,0.00005464108],"domain_scores_gemma":[0.9996486,0.00005586425,0.00006028004,0.00007289575,0.0001300178,0.00003236555],"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":[0.00003754099,0.00006175719,0.0003057822,0.0001579269,0.000009809714,0.0001431099,0.00005274273,0.0004982951,0.985803,0.000296581,0.0003469037,0.01228658],"study_design_scores_gemma":[0.00001916745,0.0005149884,0.002535698,0.00001413821,0.00002991081,0.0003454624,0.00004223901,0.001738579,0.9745034,0.0001302461,0.02009746,0.00002878056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.791507,0.00458856,0.1761611,0.000254336,0.0004028376,0.003999454,0.002426049,0.003051682,0.01760908],"genre_scores_gemma":[0.563162,0.00713957,0.3987726,0.0002792873,0.0001440133,0.004719725,0.003308521,0.0009244569,0.02154984],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003513947,"threshold_uncertainty_score":0.01175535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008229501475018726,"score_gpt":0.2281722706020866,"score_spread":0.2199427691270679,"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."}}