{"id":"W2016311735","doi":"10.4028/www.scientific.net/msf.457-460.253","title":"Modelling of SiC-Matrix Composite Formation by Thermal Gradient Chemical Vapour Infiltration","year":2004,"lang":"en","type":"article","venue":"Materials science forum","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Chemical vapor infiltration; Materials science; Composite number; Infiltration (HVAC); Composite material; Thermal; Temperature gradient; Matrix (chemical analysis); Thermodynamics","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":[0.001100788,0.0002747606,0.0004291368,0.0001534629,0.0003189435,0.0002804758,0.0007302925,0.00009977916,0.0003183865],"category_scores_gemma":[0.00007245629,0.0002433776,0.00005735858,0.0003175399,0.0005931008,0.001832623,0.0002039643,0.00005561932,0.0001458129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702314,"about_ca_system_score_gemma":0.0001287666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000224425,"about_ca_topic_score_gemma":0.00000191665,"domain_scores_codex":[0.9970232,0.00006817686,0.000857847,0.0005163032,0.0007660208,0.0007684865],"domain_scores_gemma":[0.9986431,0.00004231085,0.0005300213,0.0004557106,0.0001848,0.0001440311],"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":[0.00007296636,0.0000729992,0.000005090595,0.00004943905,0.000001741434,0.000001026148,0.0003363755,0.06156313,0.9349831,0.002815105,0.00001657253,0.00008249184],"study_design_scores_gemma":[0.0004270319,0.00007630801,0.000007647698,0.00007538161,0.00001285996,0.00002046814,0.0001267892,0.002639613,0.9919413,0.004360459,0.00004040335,0.0002717345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192048,0.0000352249,0.07889138,0.0002415037,0.0007978255,0.0003707826,0.000176517,0.0001255625,0.0001564563],"genre_scores_gemma":[0.9816214,0.000009168393,0.01811932,0.00006118781,0.00007471792,0.00003961616,0.00003634732,0.00002546986,0.00001269753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06241673,"threshold_uncertainty_score":0.9924651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348507407863066,"score_gpt":0.2413423152670117,"score_spread":0.2278572411883811,"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."}}