{"id":"W4313472678","doi":"10.3390/ma16010383","title":"A Phase-Field Model for In-Space Manufacturing of Binary Alloys","year":2022,"lang":"en","type":"article","venue":"Materials","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Nova Scotia Department of Energy; Nuclear Safety and Security Commission; University of Alabama; Advanced Research Projects Agency - Energy; National Aeronautics and Space Administration; Office of Experimental Program to Stimulate Competitive Research; Advanced Research Projects Agency; National Science Foundation","keywords":"Materials science; Microstructure; Supercooling; Phase (matter); Binary number; Ternary operation; Alloy; Field (mathematics); Mechanics; Phase space; Thermodynamics; Composite material; Physics; Mathematics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005067452,0.00008588943,0.0002029502,0.00008120829,0.00008671286,0.00002580773,0.0002291192,0.00002413679,0.001718448],"category_scores_gemma":[0.00002308951,0.00008714609,0.00003044357,0.00005175723,0.00001809683,0.00007630911,0.0001348014,0.00002881099,0.00000984802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004477583,"about_ca_system_score_gemma":0.0000304742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003059699,"about_ca_topic_score_gemma":0.000001379224,"domain_scores_codex":[0.9990857,0.00006655488,0.0003076522,0.0001974839,0.0001469407,0.0001957137],"domain_scores_gemma":[0.9995581,0.00005977173,0.0001330673,0.0002032809,0.00001517201,0.00003061408],"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":[0.0002607557,0.0001817817,0.000003621069,0.0000655769,0.000001987891,0.000001045517,0.0006981493,0.00146718,0.9942437,0.002588958,0.0004290575,0.00005821441],"study_design_scores_gemma":[0.001068252,0.0002119602,0.00002872038,0.000007041673,0.000004658998,0.000001422434,0.0002859186,0.001129753,0.9937057,0.002445627,0.001009779,0.0001011762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973058,0.00002259612,0.001043923,0.0002842114,0.0003211547,0.000359738,0.0001995579,0.00003699375,0.0004260359],"genre_scores_gemma":[0.9979095,0.000002822595,0.001028512,0.0002045176,0.00003278345,0.0003448896,0.0000178645,0.00001518875,0.0004439285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0017086,"threshold_uncertainty_score":0.9991941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03779754082378391,"score_gpt":0.2923727319831514,"score_spread":0.2545751911593675,"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."}}