{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008952288,0.0003567236,0.0007641103,0.0002454476,0.000146984,0.00016791,0.0002259763,0.0001331078,0.000122259],"category_scores_gemma":[0.00008957079,0.0002915772,0.00008688909,0.00008466469,0.0001173458,0.0006063451,0.00009333691,0.000199959,0.000007775505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004133858,"about_ca_system_score_gemma":0.00003898849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007336364,"about_ca_topic_score_gemma":7.070038e-7,"domain_scores_codex":[0.9980347,0.00007747239,0.0008464184,0.0002652215,0.0003488093,0.0004273767],"domain_scores_gemma":[0.998932,0.0001274664,0.0005330449,0.0001639211,0.00010566,0.0001379036],"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":[0.0002730976,0.00007478063,0.00001113102,0.005410796,0.0002867194,0.00006712782,0.001201068,0.0009273477,0.8565053,0.000009397785,0.003570768,0.1316625],"study_design_scores_gemma":[0.0004077109,0.00009433796,0.001332394,0.0003789672,0.00007584102,0.00006171388,0.0001737012,0.00001857711,0.9919477,0.0007033624,0.004507166,0.0002985603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977305,0.0004664453,0.0003440778,0.00008853816,0.000768429,0.000151409,0.0001593946,0.0001923393,0.00009887846],"genre_scores_gemma":[0.9985497,0.0006208838,0.0003022164,0.00001527102,0.0003648456,0.00001079011,0.00002360858,0.00006414158,0.0000485308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354424,"threshold_uncertainty_score":0.9999536,"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."}}