{"id":"W2991048372","doi":"10.1115/detc2019-97554","title":"Rapid Investment Casting: Design and Manufacturing Technologies","year":2019,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Investment casting; Aerospace; Casting; Investment (military); Manufacturing engineering; Process (computing); Engineering; Materials science; Computer science; Mechanical engineering; Metallurgy; Composite material","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":[0.0009244353,0.0007579106,0.0006256955,0.001496209,0.0004147473,0.002100151,0.001260845,0.001017669,0.006396408],"category_scores_gemma":[0.0006291593,0.0009031869,0.0006305054,0.001216205,0.0005571672,0.000965204,0.0005302936,0.00113888,0.00455187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126337,"about_ca_system_score_gemma":0.00106857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007983483,"about_ca_topic_score_gemma":0.001164416,"domain_scores_codex":[0.9987366,0.00007765018,0.00005150339,0.00009916088,0.0009689321,0.00006614314],"domain_scores_gemma":[0.9995463,0.00006192565,0.00007519018,0.00006418826,0.0002222831,0.00003010487],"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":[0.0001467534,0.0001556783,0.0008352963,0.002984303,0.00004202203,0.0004924779,0.0002575969,0.02767971,0.2616849,0.09596532,0.01701058,0.5927454],"study_design_scores_gemma":[0.00004475743,0.00070853,0.001996941,0.0004568312,0.00007610041,0.002161867,0.00008838222,0.04588125,0.2078259,0.01170838,0.7289342,0.0001168613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01814505,0.03720355,0.8248973,0.0008338654,0.001493984,0.0006566372,0.0004880789,0.00214354,0.1141379],"genre_scores_gemma":[0.197346,0.03564565,0.6529647,0.0003283127,0.0005113719,0.0007414233,0.0009113847,0.0005909568,0.1109601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006396408,"threshold_uncertainty_score":0.02139813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058429576051565,"score_gpt":0.1996436070153617,"score_spread":0.1790593112548461,"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."}}