{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006706807,0.0006453901,0.0007636893,0.0005059705,0.0002369622,0.00007114709,0.0002951388,0.0007360783,0.001333939],"category_scores_gemma":[0.000003081269,0.0006680458,0.0003635101,0.0003427441,0.00014945,0.0003330928,0.000001816595,0.0006178872,0.00002159877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685157,"about_ca_system_score_gemma":0.000121058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007967,"about_ca_topic_score_gemma":0.001094564,"domain_scores_codex":[0.9979501,0.000022326,0.0007357963,0.0005391164,0.0002238435,0.0005287777],"domain_scores_gemma":[0.9989173,0.00006259866,0.0002281024,0.0005611436,0.0001028079,0.0001279825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002254456,0.0004339343,4.36238e-7,0.004197528,0.0006554394,0.000002374667,0.0007183855,0.2305682,0.2525478,0.00007319331,0.001275988,0.5093013],"study_design_scores_gemma":[0.005574061,0.0006785375,0.00003298777,0.001898403,0.002277587,0.0002174578,0.000323621,0.1214686,0.212866,0.001998203,0.648948,0.00371651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001066803,0.001332022,0.9744252,0.00002947015,0.002150141,0.00174635,0.001330017,0.001762814,0.01615716],"genre_scores_gemma":[0.8247741,0.002114702,0.0406369,0.00003116376,0.0004320743,0.001623788,0.0005480548,0.001949325,0.1278898],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9337883,"threshold_uncertainty_score":0.999579,"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."}}