{"id":"W2902764623","doi":"10.1142/s1756973718500129","title":"Determination of Secondary Dendrite Arm Spacing for In-738LC Gas-Tungsten-Arc-Welds","year":2018,"lang":"en","type":"article","venue":"Journal of Multiscale Modelling","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Equiaxed crystals; Materials science; Microstructure; Dendrite (mathematics); Tungsten; Metallurgy; Weld pool; Temperature gradient; Gas tungsten arc welding; Welding; Substructure; Ingot; Grain size; Arc welding; Alloy; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.000338424,0.0001248563,0.0002889407,0.0001903876,0.00004097619,0.00002637829,0.0001159409,0.00008046826,0.00004398362],"category_scores_gemma":[0.00002996507,0.0001149399,0.00008336794,0.00005714429,0.00003606212,0.0002776613,0.00001599448,0.0001503385,0.000001602289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004262564,"about_ca_system_score_gemma":0.00002118431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009435184,"about_ca_topic_score_gemma":0.00001852962,"domain_scores_codex":[0.9990393,0.00001635104,0.0005321898,0.00008939499,0.0001358836,0.0001868782],"domain_scores_gemma":[0.9993672,0.0001096496,0.0002085863,0.00007259069,0.0001922797,0.0000496462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003663107,0.0001378103,0.0003189537,0.00229091,0.00009305722,0.00003647738,0.004829471,0.7158668,0.09882614,0.00006757603,0.0001569739,0.1770095],"study_design_scores_gemma":[0.0006660867,0.000165559,0.0001738502,0.0004298356,0.00002205242,0.00003299524,0.0001006461,0.551243,0.4450185,0.00147461,0.0005403557,0.0001325218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5298083,0.0002141548,0.4693015,0.00001415335,0.000342775,0.00006120148,0.00001273704,0.00001031064,0.0002348691],"genre_scores_gemma":[0.9469787,0.0001470125,0.05238439,0.000008750663,0.0004278999,0.000003051831,0.000002252298,0.00002851586,0.00001943312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4171703,"threshold_uncertainty_score":0.4687113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032634401053598,"score_gpt":0.2426249432313893,"score_spread":0.2222985992208533,"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."}}