{"id":"W2889781812","doi":"10.1016/j.jmapro.2018.09.018","title":"Metallurgical features of direct laser-deposited Ti6Al4V with trace boron","year":2018,"lang":"en","type":"article","venue":"Journal of Manufacturing Processes","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Australian Research Council; M.S.I. Foundation","keywords":"Materials science; Microstructure; Boron; Indentation hardness; Metallurgy; Martensite; Titanium alloy; Deposition (geology); Laser; Alloy; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005968798,0.0001532035,0.0001472535,0.000350531,0.0003694267,0.0003315162,0.0005502103,0.0004658956,0.004491479],"category_scores_gemma":[0.0001793391,0.0001719166,0.0001361724,0.0002326079,0.0002928617,0.0002501772,0.0001763062,0.0002323678,0.0003196184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004068854,"about_ca_system_score_gemma":0.0002682093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338042,"about_ca_topic_score_gemma":0.004520625,"domain_scores_codex":[0.9998909,0.000003100116,0.000003753832,0.00002153827,0.00004957731,0.00003109409],"domain_scores_gemma":[0.9998915,0.00002391441,0.0000286026,0.00001575308,0.00002278537,0.00001738814],"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":[0.0004152832,0.00002401958,0.000819132,0.00007766691,0.00001162605,0.0004577288,0.00009232257,0.0005355548,0.9935135,0.0003734061,0.0005839414,0.003095858],"study_design_scores_gemma":[0.00006108822,0.0005560616,0.04870066,0.00001830949,0.00003071132,0.0009078569,0.000443608,0.005561178,0.9378907,0.0002447486,0.005558704,0.00002641877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923935,0.0002660967,0.0007324121,0.0001078546,0.00004984787,0.000008457599,0.0002802193,0.0001514261,0.006010253],"genre_scores_gemma":[0.996445,0.00005003768,0.0007901705,0.0000141662,0.000005134688,0.000004760863,0.0001139461,0.00001636335,0.002560569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004491479,"threshold_uncertainty_score":0.0150255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008252092288997178,"score_gpt":0.2136290103832127,"score_spread":0.2053769180942155,"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."}}