{"id":"W4297822116","doi":"","title":"Ga Liquid Metal Embrittlement for Fine Pitch Interconnect Rework","year":2017,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Rework; Liquid metal embrittlement; Materials science; Interconnection; Embrittlement; Electromagnetic shielding; Computer science; Metallurgy; Embedded system; Composite material; Telecommunications","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":[0.0001066101,0.0003398878,0.0002757903,0.0003262634,0.0003355065,0.0005292363,0.0005323678,0.0004805645,0.004425997],"category_scores_gemma":[0.0002218113,0.0002095138,0.0001900621,0.0002555107,0.0002180345,0.0005103401,0.0005332527,0.0003910582,0.00193941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003536076,"about_ca_system_score_gemma":0.0002105247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005320208,"about_ca_topic_score_gemma":0.00166096,"domain_scores_codex":[0.9998549,0.00001085367,0.000005882393,0.0000405759,0.00005281718,0.00003501152],"domain_scores_gemma":[0.9998903,0.0000151305,0.00002987614,0.00002784066,0.00002361689,0.0000131639],"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":[0.000106995,0.00002275931,0.0001034601,0.0001210674,0.000007619126,0.0002031136,0.00006853618,0.0009989169,0.982025,0.001522997,0.00145483,0.01336465],"study_design_scores_gemma":[0.00001732792,0.0002624696,0.0004533542,0.00001806705,0.00001499249,0.0002385063,0.00004631967,0.006395139,0.9687088,0.0002288021,0.02360071,0.00001561405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8690712,0.004994447,0.06958933,0.0007590307,0.0008674749,0.0001585292,0.0003768113,0.004057827,0.05012534],"genre_scores_gemma":[0.94914,0.0005694491,0.01954764,0.0001339559,0.00003232795,0.00005154353,0.0001395115,0.0002890375,0.03009659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004425997,"threshold_uncertainty_score":0.01480645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144151981158952,"score_gpt":0.2302827531480649,"score_spread":0.2158675550321697,"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."}}