{"id":"W3216370363","doi":"10.1139/cjp-2020-0324","title":"Exact calculations of the thermal properties of two-electron GaAs quantum dots with inverse-square interactions","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Electron; Heat capacity; Quantum dot; Condensed matter physics; Inverse; Thermal; Grand canonical ensemble; Square lattice; Quantum mechanics; Thermodynamics; Atomic physics; Monte Carlo method; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003642876,0.000368917,0.0004823024,0.0003606825,0.0004940272,0.0004560522,0.0006898239,0.0006316981,0.001450687],"category_scores_gemma":[0.0007772912,0.0002748304,0.0004478957,0.0002533312,0.0007823451,0.0008272077,0.0005013042,0.0004111961,0.0001829066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005328219,"about_ca_system_score_gemma":0.0006089552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00205449,"about_ca_topic_score_gemma":0.002333068,"domain_scores_codex":[0.99981,0.00004092948,0.000006883506,0.00001773333,0.00008328833,0.00004112111],"domain_scores_gemma":[0.9997608,0.00009942184,0.00002614045,0.00004706609,0.00004513125,0.00002148041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008427264,0.00006099803,0.001385327,0.000192688,0.00005271651,0.0003970373,0.0001645705,0.862522,0.05177069,0.07896606,0.0001728483,0.004230713],"study_design_scores_gemma":[0.000006421081,0.00001396084,0.0002960809,0.000003920205,0.000004182978,0.00001700818,0.00001459631,0.993555,0.002421644,0.003526913,0.0001337243,0.000006501215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9155228,0.0004456188,0.07198502,0.0001274848,0.00002866383,0.0000337919,0.00005914848,0.00008522467,0.01171211],"genre_scores_gemma":[0.990849,0.0001183239,0.007772254,0.00002138735,0.000006525205,0.00003140614,0.00002372157,0.00002725253,0.001150216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00205449,"threshold_uncertainty_score":0.00485301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126801645931465,"score_gpt":0.2383914018740568,"score_spread":0.2171233854147422,"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."}}