{"id":"W2902180155","doi":"10.1103/physrevlett.121.225304","title":"Mass Flow through Solid <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>He</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math> in the bcc Phase","year":2018,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Quantum, superfluid, helium dynamics","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.002635148,0.001802632,0.0008880109,0.000478799,0.002089459,0.002198153,0.004446203,0.001585177,0.2949981],"category_scores_gemma":[0.001500811,0.003007337,0.003854024,0.00195999,0.003342258,0.002879645,0.002709584,0.003602364,0.006031631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004280407,"about_ca_system_score_gemma":0.001614359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344368,"about_ca_topic_score_gemma":0.001103304,"domain_scores_codex":[0.9844583,0.001263239,0.003223416,0.00310744,0.003712127,0.004235487],"domain_scores_gemma":[0.9889058,0.002134085,0.002664439,0.004576021,0.0002970414,0.001422648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001118643,0.001125475,0.00001928848,0.003102785,0.002332004,0.001283465,0.003676757,0.001146575,0.0114741,0.5194761,0.4504985,0.004746302],"study_design_scores_gemma":[0.003785677,0.002222531,0.0000999965,0.005478412,0.003661982,0.0006214572,0.002031611,0.2806557,0.6713877,0.0001881633,0.02671391,0.00315292],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6137756,0.006720717,0.004761588,0.005781231,0.006111537,0.0002114053,0.001495658,0.0003586346,0.3607837],"genre_scores_gemma":[0.9656374,0.005202365,0.003817588,0.0115086,0.006459814,0.002660956,0.003155252,0.001300074,0.0002579543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6599135,"threshold_uncertainty_score":0.999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238330444917169,"score_gpt":0.2765093007398344,"score_spread":0.2541259962906627,"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."}}