{"id":"W4394618346","doi":"10.1016/j.tafmec.2024.104419","title":"Measuring the tensile properties of Ti6Al4V fabricated by laser powder bed fusion: Influence of specimen dimensions","year":2024,"lang":"en","type":"article","venue":"Theoretical and Applied Fracture Mechanics","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Polytechnique Montréal; National Research Council Canada","funders":"National Research Council Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Materials science; Ultimate tensile strength; Composite material; Titanium alloy; Ductility (Earth science); Surface roughness; Microstructure; Indentation hardness; Calipers; Tensile testing; Surface finish; Yield (engineering); Cross section (physics); Fusion; Alloy; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004966936,0.0002928706,0.0002629815,0.0003259665,0.0004404601,0.0003087007,0.0006681577,0.000762177,0.001711902],"category_scores_gemma":[0.0007961828,0.0003579362,0.0002849863,0.0003791423,0.0004717809,0.0004744134,0.0002434048,0.0003976742,0.0002443532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003609518,"about_ca_system_score_gemma":0.0003047501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141187,"about_ca_topic_score_gemma":0.002225641,"domain_scores_codex":[0.9996107,0.00002361434,0.00002451394,0.00006958853,0.0002308705,0.00004068598],"domain_scores_gemma":[0.9994317,0.000180254,0.0001284803,0.00007912263,0.0001514691,0.00002900584],"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":[0.0001736829,0.0000159896,0.001109372,0.0000385273,0.00000720419,0.00004595319,0.00007336307,0.0004894469,0.9953486,0.00008292387,0.00003604751,0.002578751],"study_design_scores_gemma":[0.000008195218,0.000295733,0.01484173,0.000002444626,0.00001357018,0.00006395704,0.00008766771,0.002573933,0.9818039,0.00002443702,0.0002767846,0.00000768048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997049,0.0001275246,0.002136775,0.00002100542,0.00001181223,0.000008248638,0.0001082513,0.00005480138,0.0004826467],"genre_scores_gemma":[0.9972436,0.00004512689,0.002241459,0.000006122025,0.000003196216,0.000007898266,0.00009657469,0.00001005225,0.0003459486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001711902,"threshold_uncertainty_score":0.005726874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006697203873869862,"score_gpt":0.1750915981520551,"score_spread":0.1683943942781852,"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."}}