{"id":"W2713822252","doi":"10.1002/9781119296126.ch58","title":"Control of Alpha Case on Investment Cast Ti 6Al‐4V Using An Industrial Shelling System","year":2016,"lang":"en","type":"other","venue":"","topic":"Titanium Alloys Microstructure and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Trois-Rivieres; Université du Québec à Trois-Rivières","funders":"","keywords":"Casting; Materials science; Slurry; Mold; Investment casting; Cubic zirconia; Indentation hardness; Titanium; Metallurgy; Prime (order theory); Viscosity; Titanium alloy; Composite material; Microstructure; Alloy; Ceramic; Mathematics","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":[0.0002610387,0.0004187889,0.0003137178,0.0002986911,0.0002358361,0.0004142922,0.0003690687,0.0002219529,0.001803954],"category_scores_gemma":[0.0003754651,0.0003200934,0.0001664819,0.0001679781,0.0002770432,0.0001605017,0.000239808,0.0003810633,0.0003913105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003929222,"about_ca_system_score_gemma":0.0003982419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119655,"about_ca_topic_score_gemma":0.003206245,"domain_scores_codex":[0.9996589,0.000013648,0.00001867536,0.00007328182,0.000179658,0.00005565611],"domain_scores_gemma":[0.9996529,0.00004131984,0.0001358969,0.00006170604,0.00007688608,0.00003135442],"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":[0.00003627933,0.000009976691,0.00006358749,0.00002150619,0.000001207112,0.00001703082,0.00001407315,0.00007079262,0.9988294,0.00003553008,0.00003206036,0.000868555],"study_design_scores_gemma":[0.000009237264,0.0001155349,0.0009692394,0.000001604969,0.000004989188,0.00002939089,0.000007265764,0.0006993091,0.9972376,0.000004856762,0.0009181446,0.000002778989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861352,0.0003808928,0.008944958,0.00003165743,0.00004201262,0.00007847487,0.0001266402,0.0004163242,0.003843817],"genre_scores_gemma":[0.9885541,0.0001594071,0.007922049,0.00001481332,0.000008982855,0.00001965212,0.0001013741,0.0001157507,0.003103963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001803954,"threshold_uncertainty_score":0.006034851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05508346248054632,"score_gpt":0.2622780060102186,"score_spread":0.2071945435296723,"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."}}