{"id":"W4310693670","doi":"10.1016/j.matchar.2022.112558","title":"Mitigating cracking in laser powder bed fusion of Ti-48Al-2Cr-2Nb via introducing massive β phase","year":2022,"lang":"en","type":"article","venue":"Materials Characterization","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"China Scholarship Council","keywords":"Materials science; Cracking; Brittleness; Fusion; Phase (matter); Metallurgy; Laser; Composite material; Optics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003436956,0.0002099703,0.0003591131,0.0001958181,0.0001355533,0.00007441914,0.0001391128,0.00006168213,0.00327385],"category_scores_gemma":[0.00005081129,0.0002310687,0.00002812769,0.0002015559,0.00002251849,0.0003044626,0.000137277,0.0001025721,0.00001042098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009901678,"about_ca_system_score_gemma":0.00001629929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002711704,"about_ca_topic_score_gemma":0.00000211653,"domain_scores_codex":[0.9985467,0.0001409901,0.0005894846,0.0002612928,0.0001977782,0.0002637245],"domain_scores_gemma":[0.9994558,0.00004113,0.0002484596,0.0001715718,0.00004884319,0.00003420918],"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":[0.0000707682,0.00005261673,0.000169527,0.0003229706,0.00001309553,0.000009615152,0.0008789304,0.003206037,0.9930465,0.00001464421,0.00001546932,0.002199851],"study_design_scores_gemma":[0.0006572116,0.00006101754,0.005125193,0.00008940914,0.00001206222,0.000005763295,0.00009935397,0.001111305,0.9919873,0.0000860845,0.0005292942,0.0002360019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959469,0.000012207,0.001594599,0.00006120094,0.001315747,0.0002894155,0.0005882788,0.000147444,0.00004413928],"genre_scores_gemma":[0.9971259,0.00002057912,0.0001886959,0.00004679749,0.0003117992,0.0001013345,0.002117856,0.00006331535,0.00002370445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004955667,"threshold_uncertainty_score":0.9976373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007243570024194297,"score_gpt":0.2152350087775048,"score_spread":0.2079914387533105,"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."}}