{"id":"W2465227105","doi":"10.1103/physrevlett.117.025301","title":"Compression-Driven Mass Flow in Bulk 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>4</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>","year":2016,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Quantum, superfluid, helium dynamics","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flow (mathematics); Materials science; Mass flow; Saturation (graph theory); Superfluidity; Analytical Chemistry (journal); Physics; Thermodynamics; Condensed matter physics; Mechanics; Chemistry; Chromatography; Mathematics; Combinatorics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008176729,0.0002328027,0.00017935,0.000170241,0.0002443311,0.0002913648,0.0002304355,0.0001996665,0.001316651],"category_scores_gemma":[0.0001577482,0.0001373519,0.0001215182,0.0001551995,0.0003494326,0.0002573971,0.0001933479,0.0003713171,0.0001686076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003904637,"about_ca_system_score_gemma":0.0003090426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002094587,"about_ca_topic_score_gemma":0.002006958,"domain_scores_codex":[0.9999392,0.000005294724,0.000003066549,0.00001751785,0.00001710893,0.00001771226],"domain_scores_gemma":[0.9998841,0.00004677579,0.00002940556,0.000009296343,0.00001453801,0.00001576254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001027293,0.00002095353,0.0004619717,0.00003988245,0.000003005051,0.00007294151,0.0000556523,0.0004531718,0.9966978,0.0006245993,0.0001387417,0.001328615],"study_design_scores_gemma":[0.0000383966,0.0001531278,0.002486622,0.000006797663,0.000003657575,0.00004602037,0.00003033374,0.01241203,0.9834773,0.000180378,0.001156569,0.000008744853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962465,0.0001818413,0.001452429,0.00004805675,0.00001285801,0.00002149149,0.0002652887,0.000114643,0.001656813],"genre_scores_gemma":[0.996912,0.0001157527,0.001509579,0.00001422863,0.000007321602,0.00002049556,0.000356823,0.00002128446,0.001042466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002094587,"threshold_uncertainty_score":0.004404604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791302619342895,"score_gpt":0.2563354065544394,"score_spread":0.2384223803610104,"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."}}