{"id":"W2969195235","doi":"10.1103/physreva.101.033601","title":"Pairing in two-dimensional Fermi gases with a coordinate-space potential","year":2020,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Cold Atom Physics and Bose-Einstein Condensates","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Foundation for Innovation","keywords":"Pairing; Physics; Diffusion Monte Carlo; Crossover; Statistical physics; Space (punctuation); Coordinate space; Fermi Gamma-ray Space Telescope; Range (aeronautics); Fermi gas; Monte Carlo method; Work (physics); Ground state; Quantum mechanics; Mathematics; Geometry; Monte Carlo molecular modeling; 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"],"consensus_categories":[],"category_scores_codex":[0.0002215187,0.0007832772,0.001992563,0.00004140578,0.0001551124,0.00008561734,0.0005550988,0.00002145735,0.0002264583],"category_scores_gemma":[0.00008331551,0.0005877995,0.0008539311,0.001173215,0.0001709988,0.0003799522,0.0003569477,0.0006915631,0.0004391596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000585815,"about_ca_system_score_gemma":0.0001783517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000129516,"about_ca_topic_score_gemma":0.000007586464,"domain_scores_codex":[0.9962357,0.0002842293,0.0006934717,0.001110129,0.0008457126,0.000830714],"domain_scores_gemma":[0.997886,0.0003368439,0.0003872959,0.0006230606,0.0002083427,0.0005584268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007201073,0.01337484,0.02997765,0.03247415,0.001841669,0.0007021113,0.0008987705,0.002947457,0.3000419,0.3040802,0.03299997,0.2799412],"study_design_scores_gemma":[0.02107638,0.005219754,0.009443722,0.1836398,0.008734473,0.00006023616,0.0003258844,0.1820242,0.1769205,0.2139064,0.182021,0.01662773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661329,0.01853511,0.0005272091,0.009344529,0.00007790972,0.002083014,0.0000793959,0.0001409669,0.003079017],"genre_scores_gemma":[0.9931808,0.001686511,0.0001230903,0.003257247,0.001213182,0.0003124489,0.00008942219,0.00008805146,0.00004923332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2633134,"threshold_uncertainty_score":0.9996573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511202075097924,"score_gpt":0.3264953729450635,"score_spread":0.3113833521940843,"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."}}