{"id":"W1485521874","doi":"10.1002/9780470880456.ch16","title":"Aqueous Processing of TiC Preforms for Advanced Cermet Preparation","year":2010,"lang":"en","type":"other","venue":"Ceramic transactions /Ceramic transactions","topic":"Advanced materials and composites","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cermet; Materials science; Aqueous solution; Chemical engineering; Metallurgy; Ceramic; Organic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000241538,0.0004154338,0.0002345469,0.0002512582,0.0002207069,0.0002514156,0.0002300553,0.0002171774,0.004494267],"category_scores_gemma":[0.000277239,0.0001125514,0.0001580246,0.0002402094,0.0001832327,0.0003455199,0.0002339285,0.0004993663,0.001185974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002784121,"about_ca_system_score_gemma":0.0003304412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008377905,"about_ca_topic_score_gemma":0.002336715,"domain_scores_codex":[0.9998624,0.000008582469,0.00001132932,0.00002751838,0.00005576047,0.00003429564],"domain_scores_gemma":[0.9999204,0.00001431338,0.00002059869,0.00001234138,0.00002304974,0.000009385665],"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":[0.00006921584,0.00001561021,0.00005272578,0.00007452664,0.00000296253,0.00005568176,0.0000239279,0.0001005888,0.9958911,0.0001985888,0.0002071521,0.003307835],"study_design_scores_gemma":[0.000005972471,0.00008323483,0.0001874982,0.000002460183,0.00000283706,0.00003904339,0.000007986556,0.0003719548,0.99734,0.00001485678,0.001941465,0.000002681007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514768,0.001969525,0.01946196,0.0001488657,0.0002063593,0.0002023041,0.0007684671,0.0006945386,0.02507112],"genre_scores_gemma":[0.9782771,0.001106034,0.009613547,0.00004837228,0.00003518926,0.00003685701,0.000738563,0.0001336542,0.01001058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004494267,"threshold_uncertainty_score":0.01503485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005514673711781297,"score_gpt":0.2313862608990334,"score_spread":0.2258715871872521,"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."}}