{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001224294,0.0001582828,0.0001304997,0.0005212218,0.000130799,0.0002282543,0.0002314835,0.0001483444,0.0007542367],"category_scores_gemma":[0.000260343,0.00011663,0.00008076783,0.0003017684,0.000181772,0.0001318311,0.000125007,0.0001247304,0.0001128129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004334806,"about_ca_system_score_gemma":0.0001688426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002322387,"about_ca_topic_score_gemma":0.004864418,"domain_scores_codex":[0.9999211,0.000004485657,0.000004946181,0.00002736323,0.00003376498,0.000008409613],"domain_scores_gemma":[0.9998125,0.00003755215,0.00006586768,0.00001922151,0.00005300042,0.00001181653],"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":[0.00006593473,0.000007934642,0.003070885,0.00003623362,0.000002246753,0.00003283434,0.00006983069,0.0007723885,0.9925076,0.0001502086,0.0000203873,0.00326352],"study_design_scores_gemma":[0.000002848481,0.00006495309,0.02668136,0.000002908775,0.000006083954,0.00006995317,0.00007308705,0.009296146,0.9631515,0.00006879735,0.0005774578,0.000004980784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905041,0.00006681376,0.008386967,0.000008683881,0.000002413778,0.00001164107,0.0001427814,0.0000891261,0.0007874954],"genre_scores_gemma":[0.9957817,0.00003330749,0.00383632,0.000001171243,5.828289e-7,0.000004926945,0.00005515389,0.000007260272,0.0002796547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002322387,"threshold_uncertainty_score":0.004617691,"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."}}