{"id":"W2782530850","doi":"10.1007/s41230-017-7080-4","title":"Mixed graphite cast iron for automotive exhaust component applications","year":2017,"lang":"en","type":"article","venue":"China Foundry","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Graphite; Cast iron; Materials science; Metallurgy; Casting; Machining; Ductile iron; Automotive industry; Microstructure; Composite material; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002834061,0.000134338,0.000183794,0.00003699478,0.001026154,0.0002485739,0.0004979889,0.00004927349,0.0001699844],"category_scores_gemma":[0.00005595136,0.0001062627,0.00009519208,0.00002601319,0.0002548123,0.0002349127,0.0001327204,0.00006412807,0.0004194542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002501699,"about_ca_system_score_gemma":0.00002472803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002019764,"about_ca_topic_score_gemma":0.00004320691,"domain_scores_codex":[0.9991243,0.00003105906,0.0001715726,0.000289264,0.000142165,0.0002416142],"domain_scores_gemma":[0.9990384,0.00003250684,0.0001460661,0.0006303295,0.00006974311,0.0000829682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001473695,0.0002405472,0.001111384,0.0002621749,0.00003035816,0.000004844898,0.0009541098,0.00003886463,0.9653032,0.01830936,0.004446123,0.009151598],"study_design_scores_gemma":[0.002387725,0.0004939224,0.2973187,0.000134095,0.0001744235,0.00004813215,0.0003355329,0.000939145,0.3227041,0.02486242,0.3493898,0.001212111],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848109,0.0002048751,0.005101033,0.0007939186,0.001159177,0.0007813901,0.00008557402,0.0001109429,0.006952213],"genre_scores_gemma":[0.9945537,0.00001425273,0.002286956,0.00006681425,0.0003574058,0.0002626793,0.00002198415,0.00001901816,0.002417214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6425992,"threshold_uncertainty_score":0.7892451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05325745235582584,"score_gpt":0.2818839019321673,"score_spread":0.2286264495763415,"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."}}