{"id":"W2753392553","doi":"10.31399/asm.cp.istfa2017p0501","title":"Influence of Sample Preparation on Intrinsic Stress Inside a Model Chip—Comparison of Results from Electric Read-Out and Raman Spectroscopy","year":2017,"lang":"en","type":"article","venue":"Proceedings - International Symposium for Testing and Failure Analysis","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Raman spectroscopy; Resistive touchscreen; Stress (linguistics); Benchmark (surveying); Materials science; Chip; Sample (material); Spectroscopy; Optoelectronics; Electronic engineering; Analytical Chemistry (journal); Electrical engineering; Optics; Engineering; Physics; Chemistry; Chromatography","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":[0.0006214201,0.0005250883,0.0003308267,0.0002484458,0.0003347576,0.0004505105,0.0002988529,0.0005403458,0.001279337],"category_scores_gemma":[0.0016976,0.0002329585,0.0002911335,0.0002069879,0.000521428,0.0003697944,0.0003052497,0.0003359994,0.000255753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001593959,"about_ca_system_score_gemma":0.0001678391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003506169,"about_ca_topic_score_gemma":0.0005269083,"domain_scores_codex":[0.9993705,0.0001298866,0.00004439757,0.000153237,0.000221091,0.00008084092],"domain_scores_gemma":[0.9985103,0.0006357357,0.0002257696,0.0003132027,0.0002760603,0.00003889706],"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":[0.0001383492,0.00003576906,0.0003887682,0.00005534655,0.00001476539,0.00003286745,0.00005502457,0.0002282968,0.9974312,0.00002473554,0.00002254903,0.001572289],"study_design_scores_gemma":[0.000003963673,0.0002905971,0.002185568,0.000003488475,0.00001887159,0.00003844672,0.00003397642,0.0005417942,0.9966496,0.000008572891,0.0002196581,0.000005607952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912719,0.0005622983,0.007051397,0.0000427689,0.00004387631,0.00003716266,0.0001588507,0.0001397583,0.0006919879],"genre_scores_gemma":[0.995147,0.0003125347,0.003679957,0.00002749139,0.00001445385,0.00003536428,0.0001645832,0.00005908614,0.0005594614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001279337,"threshold_uncertainty_score":0.004279792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601009112492817,"score_gpt":0.2787975672386938,"score_spread":0.2627874761137656,"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."}}