{"id":"W2912704585","doi":"10.1016/j.jeurceramsoc.2019.01.057","title":"Graphite-Si-SiC ceramics produced by microwave assisted reactive melt infiltration","year":2019,"lang":"en","type":"article","venue":"Journal of the European Ceramic Society","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Centre National de la Recherche Scientifique","keywords":"Materials science; Graphite; Microstructure; Composite material; Ceramic; Silicon carbide; Microwave; Silicon; Infiltration (HVAC); Raman spectroscopy; Metallurgy; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001711794,0.0002822697,0.0003129435,0.0006125368,0.0003299907,0.0003480462,0.0002647972,0.0003384194,0.002205033],"category_scores_gemma":[0.0002182335,0.000233651,0.0003295577,0.00056221,0.0002564603,0.0001773202,0.0002916649,0.0004632222,0.0005329946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715339,"about_ca_system_score_gemma":0.0002097315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000358205,"about_ca_topic_score_gemma":0.001266999,"domain_scores_codex":[0.9998392,0.00001747248,0.00001226339,0.00003246364,0.00005782961,0.00004072719],"domain_scores_gemma":[0.9999224,0.00001370898,0.00002209715,0.00001277098,0.00001521097,0.00001385381],"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":[0.0001771322,0.00001338766,0.000130465,0.00009616806,0.000006425346,0.0001427299,0.00003954879,0.0001345946,0.9977189,0.0002432072,0.00009972468,0.001197788],"study_design_scores_gemma":[0.00003442302,0.000228875,0.003079688,0.000008245052,0.00001623328,0.0002055743,0.00003861845,0.00060638,0.9925805,0.0000652303,0.003128482,0.000007679079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898266,0.0007580954,0.001807362,0.00004342447,0.00005781044,0.00004496394,0.0003433652,0.0001500639,0.006968245],"genre_scores_gemma":[0.9967161,0.0001903875,0.001312376,0.00001044947,0.000008468168,0.00001138925,0.0002551267,0.00002888088,0.001466872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002205033,"threshold_uncertainty_score":0.007376611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009189160635013105,"score_gpt":0.2164166662554992,"score_spread":0.2072275056204861,"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."}}