{"id":"W4300165558","doi":"10.31399/asm.edfa.2004-1.p025","title":"Incorporating Comparative TDR into the Device Analysis Flow","year":2004,"lang":"en","type":"article","venue":"EDFA Technical Articles","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Reflectometry; Computer science; Measure (data warehouse); Electronic engineering; Chip; Time domain; Electrical conductor; Flip chip; Electrical engineering; Engineering; Telecommunications; Materials science; Data mining","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":[0.001269811,0.001076594,0.000806851,0.001986736,0.0007070383,0.001831221,0.0009461589,0.0004749704,0.01207598],"category_scores_gemma":[0.003413144,0.0005509867,0.0007420233,0.0005889463,0.0006078106,0.001797979,0.001048612,0.000735239,0.002906061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000612884,"about_ca_system_score_gemma":0.0009277636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565336,"about_ca_topic_score_gemma":0.001959827,"domain_scores_codex":[0.9994222,0.0001146136,0.00003413931,0.0001333365,0.0002392895,0.00005641454],"domain_scores_gemma":[0.9982889,0.0009405641,0.00009619199,0.0002056973,0.0004400878,0.00002854836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002414106,0.0001114459,0.003063321,0.0004381016,0.00008899593,0.0004625283,0.0003783155,0.07079101,0.09443843,0.08102896,0.00596043,0.7429971],"study_design_scores_gemma":[0.00004804595,0.0004053458,0.001876166,0.00008855393,0.0001007435,0.0008786167,0.0001759601,0.7969252,0.1004235,0.04817145,0.05079431,0.0001123238],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003968824,0.00004623309,0.9907143,0.000034307,0.00001745805,0.00006623956,0.00006024184,0.002559562,0.002532907],"genre_scores_gemma":[0.1002375,0.0001127767,0.8939652,0.0000965177,0.00003109685,0.0001608158,0.0002685958,0.0007861968,0.004341431],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01207598,"threshold_uncertainty_score":0.04039824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105799754932386,"score_gpt":0.2464987678300762,"score_spread":0.2254407702807523,"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."}}