{"id":"W4289367586","doi":"","title":"Gallium Liquid Metal Embrittlement for Fine Pitch Interconnect Rework","year":2018,"lang":"fr","type":"preprint","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":"Liquid metal embrittlement; Rework; Gallium; Materials science; Liquid metal; Embrittlement; Interconnection; Metallurgy; Nuclear engineering; Computer science; Embedded system; Engineering; 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":[0.0001526661,0.0003140192,0.000332977,0.0002872153,0.0004011908,0.0006078459,0.0005003065,0.0004940779,0.005711017],"category_scores_gemma":[0.0002712925,0.0001969563,0.0001969977,0.0002276844,0.0002921403,0.0006121496,0.0007810002,0.0004128904,0.001720522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003028553,"about_ca_system_score_gemma":0.0001547383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002230579,"about_ca_topic_score_gemma":0.0006291863,"domain_scores_codex":[0.9998287,0.00001663313,0.000007407987,0.00004360344,0.0000625481,0.0000410801],"domain_scores_gemma":[0.9998541,0.00002744513,0.00003000326,0.00004797255,0.00002387064,0.00001665591],"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":[0.0001439554,0.00003393647,0.0001245636,0.00012106,0.000007917802,0.0002143123,0.00008199742,0.002154441,0.9796807,0.002423313,0.001119506,0.01389422],"study_design_scores_gemma":[0.00002004604,0.0002759186,0.0003803989,0.0000159272,0.00001054378,0.0001712971,0.0000480698,0.01297825,0.9725346,0.0005528447,0.01299744,0.00001471021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8640697,0.004111246,0.080474,0.000738928,0.0005525938,0.0001277453,0.0002049066,0.00297029,0.04675059],"genre_scores_gemma":[0.9701647,0.000389572,0.01337075,0.00009110584,0.00002720433,0.00003406409,0.00009597372,0.0002326997,0.01559397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005711017,"threshold_uncertainty_score":0.01910526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548565283618056,"score_gpt":0.2317389933927879,"score_spread":0.2162533405566073,"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."}}