{"id":"W2980991226","doi":"","title":"Modeling of the SPERT transients using SERPENT2 with time dependent capabilities","year":2017,"lang":"en","type":"article","venue":"","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Computer science","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":[0.0002579634,0.0007189743,0.0005109839,0.0003456868,0.0003782774,0.0008023962,0.001331421,0.001042788,0.00554473],"category_scores_gemma":[0.0008576755,0.0003526483,0.0006579696,0.0004015364,0.0003137935,0.001008466,0.000371203,0.0007608217,0.001003387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007142117,"about_ca_system_score_gemma":0.0009499333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231078,"about_ca_topic_score_gemma":0.007316147,"domain_scores_codex":[0.9998677,0.0000247335,0.000006205947,0.0000230197,0.00004853712,0.00002978841],"domain_scores_gemma":[0.9997153,0.00009431961,0.00003135631,0.00004022131,0.00009614982,0.00002268864],"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":[0.00004189783,0.00001757787,0.0003233147,0.00003531389,0.00001137535,0.00008522795,0.00002852452,0.989993,0.002330429,0.004038412,0.00077882,0.002316093],"study_design_scores_gemma":[0.000003578169,0.000007525539,0.00006402854,0.000003061431,0.000003064002,0.000009662227,0.000003532198,0.9973264,0.00116947,0.0003323226,0.001073545,0.00000384951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3054579,0.000734913,0.575788,0.0006780653,0.000314585,0.0001416036,0.002474432,0.005687312,0.1087231],"genre_scores_gemma":[0.956064,0.0002825186,0.02430691,0.0001157939,0.0000409696,0.00008822233,0.0007667005,0.0006574221,0.01767748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01231078,"threshold_uncertainty_score":0.02447826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273943156337351,"score_gpt":0.22410821483689,"score_spread":0.1967138992031549,"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."}}