{"id":"W4393492232","doi":"10.5281/zenodo.7305368","title":"PROGRESS IN COUPLING COMPUTATIONAL THERMODYNAMICS AND COMPUTATIONAL FLUID DYNAMICS TO SUPPORT MOLTEN SALT REACTOR APPLICATIONS (Revised)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Molten salt; Coupling (piping); Thermodynamics; Computational fluid dynamics; Molecular dynamics; Statistical physics; Chemistry; Physics; Materials science; Computational chemistry; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002459936,0.004733917,0.002382389,0.003985004,0.001145194,0.003848723,0.005166098,0.003968942,0.0246851],"category_scores_gemma":[0.008806963,0.001056691,0.003358525,0.004740466,0.0006638299,0.002238364,0.003967066,0.003218354,0.04977541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514988,"about_ca_system_score_gemma":0.002463894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02216339,"about_ca_topic_score_gemma":0.04568931,"domain_scores_codex":[0.9978458,0.0005479031,0.0002092489,0.0006759501,0.0005025851,0.0002185427],"domain_scores_gemma":[0.9969149,0.001062892,0.0001897069,0.001020687,0.0004938454,0.0003181073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002056932,0.00006884453,0.002200758,0.002152945,0.0002612551,0.00005822423,0.00003470221,0.002815206,0.0003442223,0.001214836,0.9817497,0.008893617],"study_design_scores_gemma":[0.000626154,0.00007067805,0.008253253,0.0009249324,0.0001917643,0.0001610194,0.00009482305,0.008148908,0.001148776,0.00637907,0.9738961,0.0001044882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007733265,0.001014359,0.000751056,0.0003156399,0.0001782062,0.00002822464,0.9931457,0.002762043,0.001031434],"genre_scores_gemma":[0.000771937,0.0002025096,0.001014479,0.00009910415,0.00001425979,0.0000663277,0.9972793,0.0001868355,0.000365159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0246851,"threshold_uncertainty_score":0.08257991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050137002789747,"score_gpt":0.2505102395461781,"score_spread":0.2300088695182806,"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."}}