{"id":"W3173246214","doi":"10.5006/c2021-16478","title":"Erosion-corrosion Assessment of Cr White Irons","year":2021,"lang":"en","type":"article","venue":"","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Corrosion; Erosion; Metallurgy; Materials science; Environmental science; Forensic engineering; Geology; Engineering","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":[0.0002088471,0.00006077695,0.0001320789,0.0000162279,0.00005231954,0.00003304183,0.00009665493,0.00002824373,0.01246566],"category_scores_gemma":[0.00002849578,0.00004085601,0.00004563321,0.00007479905,0.00003708528,0.00008918127,0.0001197328,0.00003703255,0.0001629155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009552827,"about_ca_system_score_gemma":0.0000704905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003691389,"about_ca_topic_score_gemma":0.00003031664,"domain_scores_codex":[0.9992805,0.00007086429,0.0001717695,0.0001535367,0.0002086365,0.000114745],"domain_scores_gemma":[0.9995999,0.00002444557,0.00003820991,0.0002164259,0.00007878761,0.00004222838],"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":[0.000003361343,0.0000435469,0.002729369,0.00002060986,6.842404e-7,0.000001952465,0.00005674297,0.00002533588,0.9945049,0.001484139,0.0009729224,0.0001564951],"study_design_scores_gemma":[0.00010042,0.00004494305,0.01257426,0.00002291117,0.000007172184,0.000003247656,0.0001230301,0.0002266563,0.9848779,0.0001692011,0.001781857,0.00006832873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417456,0.0001152713,0.004504219,0.0003410485,0.000458432,0.00005384665,0.000008283506,0.00003593071,0.0527374],"genre_scores_gemma":[0.9739729,0.0000258325,0.01176051,0.000164472,0.00002355148,0.000004003142,0.000004153127,0.000005468542,0.01403909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03869831,"threshold_uncertainty_score":0.9884371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670066873012768,"score_gpt":0.2796561860702276,"score_spread":0.2529555173400999,"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."}}