{"id":"W2793157932","doi":"10.1002/maco.201709925","title":"Effect of retrogression and re‐aging (RRA) heat treatment on the corrosion behavior of B206 aluminum–copper casting alloy","year":2018,"lang":"en","type":"article","venue":"Materials and Corrosion","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Corrosion; Materials science; Dielectric spectroscopy; Microstructure; Metallurgy; Alloy; Copper; Seawater; Artificial seawater; Electrochemistry; Aluminium; Immersion (mathematics); Composite material; Electrode; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002359117,0.0004345216,0.0004503166,0.0001772793,0.0001489309,0.0002102041,0.0002258961,0.0002684204,0.0007493207],"category_scores_gemma":[0.0004277156,0.0002236252,0.0002979684,0.0001795427,0.0001963939,0.0002013109,0.0001155188,0.0003840007,0.0002032684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997128,"about_ca_system_score_gemma":0.0001843754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239845,"about_ca_topic_score_gemma":0.00267811,"domain_scores_codex":[0.999781,0.00003058904,0.00003310796,0.00004317842,0.00006176435,0.00005043925],"domain_scores_gemma":[0.9996735,0.00005009574,0.0001016917,0.00004875598,0.00009272301,0.00003332735],"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":[0.0002580856,0.00003449026,0.000481889,0.00009641646,0.00001532389,0.00009260465,0.00005829639,0.0002094417,0.9958451,0.00001573319,0.00003328535,0.002859304],"study_design_scores_gemma":[0.000006892343,0.0008246444,0.007886358,0.000004603773,0.00002408894,0.00008744749,0.00004059669,0.0005038023,0.9899628,0.000005402778,0.0006418846,0.00001166117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985641,0.0006694349,0.000375022,0.00001516888,0.0000210802,0.00001265313,0.00006695658,0.0000271292,0.0002485664],"genre_scores_gemma":[0.9978676,0.0003332391,0.000986119,0.00001979658,0.000008275779,0.00001100786,0.00008456458,0.00001249633,0.0006767984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001239845,"threshold_uncertainty_score":0.002506733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130555729881253,"score_gpt":0.2312762964892265,"score_spread":0.219970739190414,"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."}}