{"id":"W2996890196","doi":"10.1016/j.jmatprotec.2019.116572","title":"Al–NiO energetic composites as heat source for joining silicon wafer","year":2019,"lang":"en","type":"article","venue":"Journal of Materials Processing Technology","topic":"Intermetallics and Advanced Alloy Properties","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Thermite; Materials science; Composite material; Exothermic reaction; Wafer; Silicon; Composite number; Non-blocking I/O; Metallurgy; Aluminium; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002131298,0.0001712942,0.0004379361,0.0002761377,0.00006063564,0.00009533099,0.0002733694,0.0001469298,0.00004967385],"category_scores_gemma":[0.00005332147,0.0001361739,0.00006379056,0.00009731216,0.0000504464,0.0002159831,0.00004898014,0.0001595027,0.00001924501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004696036,"about_ca_system_score_gemma":0.00002905112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.756394e-7,"about_ca_topic_score_gemma":2.426729e-7,"domain_scores_codex":[0.9989768,0.00001116485,0.0005095685,0.0001199225,0.0001090979,0.0002734093],"domain_scores_gemma":[0.9994988,0.00002495465,0.0001507483,0.0001267363,0.0001655829,0.00003312774],"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":[0.00005425102,0.00001758687,0.00003627026,0.0002291724,0.00004008504,0.000003780159,0.00004881993,0.005419086,0.9887033,0.0002784439,0.0001317775,0.005037485],"study_design_scores_gemma":[0.0004706538,0.0002926812,0.0000106452,0.0003928616,0.00002351661,0.0002311965,0.00010892,0.002628697,0.9704189,0.002160292,0.0230906,0.0001710572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99494,0.001088664,0.002133798,0.0006512695,0.0007620971,0.0001117975,0.000002174868,0.0001752066,0.0001349796],"genre_scores_gemma":[0.9928344,0.00008683577,0.006520733,0.0001980907,0.0001161615,0.000009508759,0.000001590336,0.00005502278,0.0001775804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02295883,"threshold_uncertainty_score":0.5553011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006049739732796269,"score_gpt":0.219086373374424,"score_spread":0.2130366336416278,"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."}}