{"id":"W2608052315","doi":"","title":"Modelling of Ru behaviour in oxidative accident conditions and first source term assessments","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Service de Recherche et d'EXpertise en Transformation des Produits Forestiers","funders":"","keywords":"Term (time); Accident (philosophy); Computer science; Oxidative phosphorylation; Environmental science; Chemistry; Physics","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":[0.0007963489,0.0007758238,0.001064627,0.0007954164,0.0005475959,0.001696685,0.001703983,0.003024464,0.004261192],"category_scores_gemma":[0.003079756,0.0006192267,0.001283247,0.0007957527,0.0007123136,0.001599678,0.0007056331,0.001135496,0.0006332156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617144,"about_ca_system_score_gemma":0.0009673467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04077901,"about_ca_topic_score_gemma":0.02010282,"domain_scores_codex":[0.9996513,0.00007648615,0.00001881893,0.0001039671,0.00007124107,0.0000781211],"domain_scores_gemma":[0.9988153,0.0006370841,0.0001228088,0.0001140155,0.0002241997,0.00008670758],"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":[0.00007353156,0.00002682527,0.001931323,0.00003893139,0.0000170306,0.0001006812,0.00004158307,0.9934268,0.001549882,0.0007656529,0.0002165316,0.001811233],"study_design_scores_gemma":[0.000009541225,0.00004079401,0.002635269,0.000008092638,0.00001590342,0.00002606254,0.00003808154,0.9950724,0.001026568,0.0007345941,0.0003758346,0.00001680466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309503,0.0005346846,0.04292938,0.0005116201,0.00008449126,0.00009336779,0.002132955,0.0006989601,0.02206423],"genre_scores_gemma":[0.9940825,0.0001207983,0.001267677,0.00001585823,0.000009456655,0.00002308014,0.0003262617,0.00007696794,0.004077368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04077901,"threshold_uncertainty_score":0.0810833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.039750485400336,"score_gpt":0.2703135773740702,"score_spread":0.2305630919737342,"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."}}