{"id":"W4389584800","doi":"10.17118/11143/20920","title":"Developing a machine learning interatomic potential for advancedceramics","year":2023,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Machine learning; Ceramic; Artificial intelligence; Materials science; Metallurgy","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":[0.0009848371,0.0007981007,0.0009364104,0.0009175311,0.0006677569,0.0009968147,0.002191515,0.002400771,0.003396433],"category_scores_gemma":[0.003148415,0.000500587,0.001038007,0.0008677362,0.0005897484,0.001379196,0.001145161,0.001698679,0.0008843961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022444,"about_ca_system_score_gemma":0.00143925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004908291,"about_ca_topic_score_gemma":0.004754135,"domain_scores_codex":[0.9997132,0.00009840768,0.00001642279,0.00005349844,0.00008192183,0.00003650967],"domain_scores_gemma":[0.9991443,0.0005049391,0.00004146714,0.00006807258,0.0001835789,0.00005768376],"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":[0.00003336761,0.00004373418,0.0006534897,0.0001098935,0.00002975511,0.00008375563,0.0000169578,0.9541762,0.001079883,0.009348582,0.00308265,0.03134162],"study_design_scores_gemma":[0.000003892773,0.000005528816,0.0000375305,0.000004826621,0.000001102102,0.000005493502,0.000003655809,0.99677,0.0001623797,0.002457623,0.0005457097,0.000002174238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.102325,0.002117047,0.8769481,0.002119728,0.0003743031,0.0003072079,0.002537195,0.002126683,0.01114482],"genre_scores_gemma":[0.5280259,0.0007649451,0.4581973,0.0007608798,0.0001786559,0.0007553911,0.005237953,0.0005412293,0.00553767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004908291,"threshold_uncertainty_score":0.01136214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479347508900933,"score_gpt":0.2672616767984703,"score_spread":0.252468201709461,"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."}}