{"id":"W1157062524","doi":"10.1115/gt2015-43971","title":"Laser Consolidation: A Novel Additive Manufacturing Process for Making Net-Shape Functional Metallic Components for Gas Turbine Applications","year":2015,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Near net shape; Consolidation (business); Machining; Selective laser melting; Mechanical engineering; Materials science; Process engineering; Manufacturing engineering; Process (computing); Manufacturing process; Computer science; Engineering; Metallurgy; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002053362,0.0002952447,0.000260018,0.0007564739,0.0002975043,0.0005154614,0.0005759938,0.0003760986,0.00124113],"category_scores_gemma":[0.0001576657,0.0002538999,0.0002722756,0.0006134242,0.0004640359,0.0006889487,0.0004739223,0.0004742257,0.0005968952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395597,"about_ca_system_score_gemma":0.0005007259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005979298,"about_ca_topic_score_gemma":0.001557612,"domain_scores_codex":[0.9996705,0.00001196747,0.00001596097,0.00004485758,0.0002289427,0.00002782794],"domain_scores_gemma":[0.9998997,0.000009959267,0.00002921193,0.00001867413,0.00003104088,0.00001137532],"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":[0.00003279693,0.00003354908,0.0002287468,0.0001589224,0.000005780512,0.0001705371,0.00008368419,0.0005425166,0.9602827,0.001410674,0.0004591554,0.03659112],"study_design_scores_gemma":[0.00002028103,0.0003842855,0.001468288,0.00001447736,0.00002291095,0.001258728,0.00004638833,0.004717876,0.9665837,0.0001865647,0.0252774,0.00001911558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6189699,0.01188046,0.3331276,0.0004050438,0.0004757,0.000444728,0.000253238,0.002644606,0.03179871],"genre_scores_gemma":[0.8410653,0.002993889,0.1436577,0.0001450775,0.0001032119,0.0001006945,0.000182871,0.0001343819,0.01161691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00124113,"threshold_uncertainty_score":0.00415194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06687204590688169,"score_gpt":0.2766015762266142,"score_spread":0.2097295303197326,"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."}}