{"id":"W4327941906","doi":"10.3390/jmmp7020071","title":"Weldability of 316L Parts Produced by Metal Additive Manufacturing","year":2023,"lang":"en","type":"article","venue":"Journal of Manufacturing and Materials Processing","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alstom (Canada); Transport Canada; Université du Québec à Rimouski","funders":"","keywords":"Weldability; Rapid prototyping; Welding; 3D printing; Manufacturing engineering; Process (computing); Fusion; Process engineering; Materials science; Fabrication; Fusion welding; Mechanical engineering; Computer science; Engineering drawing; 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":[0.0005344676,0.0004324344,0.0003263427,0.0009404594,0.0002938182,0.0003127115,0.0004803375,0.0005762941,0.001640114],"category_scores_gemma":[0.001047177,0.0003613576,0.0005025237,0.0006466287,0.0006142448,0.0003815486,0.0003404845,0.0002537082,0.0004175591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479588,"about_ca_system_score_gemma":0.0001508214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007289206,"about_ca_topic_score_gemma":0.001005759,"domain_scores_codex":[0.9992256,0.00004525407,0.0000521565,0.0001304378,0.0004402871,0.0001062226],"domain_scores_gemma":[0.9990527,0.0002138448,0.0003053409,0.0001518272,0.0002206201,0.00005565185],"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":[0.0001405626,0.000009405576,0.001110103,0.00007670266,0.000008270334,0.0001488307,0.0002567093,0.0007248646,0.9945451,0.00005519951,0.00003509555,0.002889051],"study_design_scores_gemma":[0.000007664938,0.0007307075,0.03249012,0.00001792303,0.00002837097,0.0001962085,0.000140197,0.001893476,0.9635655,0.00003562823,0.0008727985,0.00002134871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962806,0.0005809393,0.001975598,0.00001442774,0.00001371511,0.00001213883,0.0001143316,0.00008542305,0.0009229813],"genre_scores_gemma":[0.9981072,0.0001078893,0.0009825601,0.000007715623,0.000002239527,0.00000797635,0.00009232988,0.00002361213,0.000668486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001640114,"threshold_uncertainty_score":0.005486727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108330016415182,"score_gpt":0.2239586786761909,"score_spread":0.2128753785120391,"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."}}