{"id":"W2895788469","doi":"10.2351/1.5060230","title":"Laser consolidation of TI-6AL-4V alloy to build functional net-shape airfoils with embedded cooling channels","year":2004,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Aerospace; Airfoil; Consolidation (business); Near net shape; Mechanical engineering; Materials science; Titanium alloy; CAD; Engineering; Manufacturing engineering; Aerospace engineering; Engineering drawing; Alloy; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006381064,0.0001501346,0.0001745397,0.00007177122,0.0000457396,0.00003705399,0.00006571804,0.00005147485,0.001359022],"category_scores_gemma":[0.00001441255,0.0001242157,0.00002249387,0.0001000179,0.00002534182,0.0001376484,0.0000200495,0.0000546494,0.00008583707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002769126,"about_ca_system_score_gemma":0.00002708772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002478671,"about_ca_topic_score_gemma":0.00001736623,"domain_scores_codex":[0.9993298,0.000006533732,0.0001830134,0.0001508495,0.0001437893,0.0001859911],"domain_scores_gemma":[0.9996716,0.00003391818,0.00003380127,0.0001023757,0.00008701602,0.00007122614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001007181,0.00003241897,0.00003153424,0.0001695624,0.0000772769,0.000004950004,0.0002585168,0.9608052,0.0358129,0.0006470184,0.001086964,0.0009729863],"study_design_scores_gemma":[0.0005967636,0.0001161718,0.001107881,0.0001028651,0.00001780012,0.000009812585,0.00009304817,0.002145088,0.9925855,0.0002198931,0.002761008,0.000244163],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9300766,0.00002061667,0.06668322,0.00007643336,0.0003094709,0.0001699874,0.00003363185,0.0002304239,0.002399629],"genre_scores_gemma":[0.9965447,0.000008637038,0.002785315,0.0001456176,0.0001897247,0.00002538149,0.00005016275,0.00002960744,0.0002209078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9586601,"threshold_uncertainty_score":0.9995539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183124097368304,"score_gpt":0.2064460994622404,"score_spread":0.1946148584885574,"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."}}