{"id":"W2007175598","doi":"10.1016/j.jnucmat.2014.09.022","title":"Growth behavior of intermetallic compounds during reactive diffusion between aluminum alloy 1060 and magnesium at 573–673 K","year":2014,"lang":"en","type":"article","venue":"Journal of Nuclear Materials","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Intermetallic; Materials science; Annealing (glass); Alloy; Grain boundary diffusion coefficient; Lattice diffusion coefficient; Grain boundary; Cladding (metalworking); Metallurgy; Magnesium alloy; Chemical engineering; Analytical Chemistry (journal); Thermodynamics; Effective diffusion coefficient; Microstructure; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001065252,0.0002558757,0.0008677766,0.000149909,0.0001811486,0.000221878,0.0003840784,0.0001374655,0.002121588],"category_scores_gemma":[0.00008946947,0.0001927213,0.0001035529,0.00005450945,0.0002587104,0.000463988,0.0004516008,0.00009331106,0.0000960801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007443009,"about_ca_system_score_gemma":0.00001615557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001812976,"about_ca_topic_score_gemma":0.000003563298,"domain_scores_codex":[0.997664,0.000372463,0.001010486,0.0002444965,0.0004050281,0.0003035272],"domain_scores_gemma":[0.9982464,0.00006763396,0.001067804,0.0002434515,0.0002198483,0.0001548391],"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":[0.0005944123,0.00006262297,0.001236202,0.0002369503,0.00001941483,0.00001481794,0.0006887899,2.485716e-7,0.9968191,0.0001155869,0.0001264968,0.00008529336],"study_design_scores_gemma":[0.0009063397,0.0006599161,0.174574,0.000156019,0.0001602558,0.0001820206,0.0001580088,0.000001522656,0.8215203,0.0001277067,0.001325967,0.0002279698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998336,0.00002825488,5.06229e-7,0.0001692759,0.0009580874,0.0001542346,0.00004998927,0.00003030553,0.0002733651],"genre_scores_gemma":[0.9984429,0.00009334477,0.0006139281,0.00003599467,0.0006239382,0.000002142889,0.0000032141,0.00006790333,0.0001166319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1752989,"threshold_uncertainty_score":0.9987906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248294710565258,"score_gpt":0.2164447484810245,"score_spread":0.203961801375372,"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."}}