{"id":"W1999127196","doi":"10.1016/j.commatsci.2011.02.018","title":"Temporal development of melt-pool morphology and clad geometry in laser powder deposition","year":2011,"lang":"en","type":"article","venue":"Computational Materials Science","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deposition (geology); Materials science; Morphology (biology); Geometry; Substrate (aquarium); Temperature gradient; Laser; Dilution; Finite element method; Material properties; A priori and a posteriori; Mechanics; Composite material; Optics; Thermodynamics; Geology; Physics","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":[0.0002497908,0.00009551596,0.0001396723,0.000215493,0.0002361187,0.0005825973,0.0002681564,0.0002954088,0.001429635],"category_scores_gemma":[0.001529508,0.0003180711,0.0001224092,0.0002292255,0.0003531092,0.0005128268,0.000326097,0.0003021041,0.000195897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006093226,"about_ca_system_score_gemma":0.0004663908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00300009,"about_ca_topic_score_gemma":0.004179344,"domain_scores_codex":[0.9999354,0.000009036422,0.000003005551,0.00001394019,0.00002303077,0.00001570393],"domain_scores_gemma":[0.9994294,0.0003096676,0.000105506,0.00003719598,0.0000812603,0.00003691556],"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":[0.0009494083,0.0002141971,0.02695614,0.0002512248,0.00005357425,0.0009369505,0.0008767546,0.1325819,0.7789496,0.01606765,0.002595858,0.03956674],"study_design_scores_gemma":[0.00003808712,0.0001091166,0.03667911,0.00001949105,0.00002029992,0.0001853334,0.0001803627,0.6072009,0.351546,0.001468473,0.002513708,0.00003907952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855446,0.0002793277,0.009356892,0.0001229933,0.000012682,0.00001278198,0.0002460155,0.000168326,0.00425631],"genre_scores_gemma":[0.9975829,0.00008364331,0.001525581,0.000009576962,0.000002437273,0.000005885493,0.00007398911,0.00003696481,0.0006790067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00300009,"threshold_uncertainty_score":0.005965233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033242005945681,"score_gpt":0.2266741858996628,"score_spread":0.206341765840206,"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."}}