{"id":"W1964667479","doi":"10.1007/s10854-008-9841-8","title":"Effect of EFO parameters on Cu FAB hardness and work hardening in thermosonic wire bonding","year":2009,"lang":"en","type":"article","venue":"Journal of Materials Science Materials in Electronics","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Indentation hardness; Work hardening; Materials science; Hardening (computing); Vickers hardness test; Metallurgy; Composite material; Microstructure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038946,0.0002478038,0.0007065143,0.0006342771,0.00006276852,0.0001956229,0.0005419672,0.0001172785,0.00000561486],"category_scores_gemma":[0.0003013821,0.0002031177,0.00003801563,0.000494463,0.0002136168,0.000307783,0.00004337468,0.0002913445,9.427346e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004266565,"about_ca_system_score_gemma":0.0001013363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006071906,"about_ca_topic_score_gemma":0.000002710899,"domain_scores_codex":[0.9978478,0.0001400548,0.0007421136,0.0002128756,0.0003436869,0.000713482],"domain_scores_gemma":[0.9992992,0.0001046147,0.0002836906,0.0002278328,0.00003547476,0.00004918097],"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":[0.0001874286,0.00002343503,0.0001690806,0.00008785406,0.00000906522,0.0000182031,0.0002346582,0.00266681,0.9920646,0.0009291281,0.00001157239,0.003598168],"study_design_scores_gemma":[0.0005777324,0.0014672,0.0008621943,0.0007948147,0.00001236488,0.00004960245,0.00003822599,0.00007742641,0.9947696,0.001143521,0.00002019148,0.0001870704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978446,0.0008901265,0.00002310839,0.00009753858,0.0008751786,0.0001538063,0.000002833694,0.00006751851,0.00004525493],"genre_scores_gemma":[0.9991527,0.0004278545,0.0003381591,0.0000106151,0.00003972172,0.000004867348,4.245138e-7,0.00002067232,0.000005011124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003593218,"threshold_uncertainty_score":0.8282898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007046651121455979,"score_gpt":0.2405847636484049,"score_spread":0.2335381125269489,"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."}}