{"id":"W4413693244","doi":"10.21203/rs.3.rs-7188477/v1","title":"Eccentricity-Engineered Magneto-Exciton Dynamics in Anisotropic Quantum Dots under Screened Coulomb Interactions","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Greenfield Research (Canada)","funders":"","keywords":"Coulomb; Eccentricity (behavior); Dynamics (music); Condensed matter physics; Magneto; Exciton; Quantum dot; Physics; Anisotropy; Quantum; Quantum mechanics; Electron; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002228435,0.0003114907,0.0005208677,0.0004352242,0.0006527061,0.001399143,0.000627177,0.0006801646,0.003548504],"category_scores_gemma":[0.0005350602,0.0002911548,0.0001882856,0.0003133463,0.001209945,0.0007466082,0.0007609621,0.0005195685,0.0002774675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000703514,"about_ca_system_score_gemma":0.0003561611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001935493,"about_ca_topic_score_gemma":0.002188221,"domain_scores_codex":[0.9998705,0.0000219121,0.000005274207,0.00002504904,0.00004134421,0.00003585667],"domain_scores_gemma":[0.9997583,0.00006158826,0.00004305667,0.00002551724,0.00003029883,0.00008127704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009815856,0.0005207323,0.003648489,0.0002522356,0.00009326632,0.001934159,0.0008059755,0.06135508,0.4916717,0.4297802,0.002548342,0.006408212],"study_design_scores_gemma":[0.0001689984,0.0001609391,0.005760239,0.00003955889,0.00003183673,0.0003929474,0.0003685414,0.8973455,0.05076081,0.04331186,0.001554534,0.0001041461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841701,0.0001532019,0.004844273,0.0002963533,0.00005177602,0.00001455359,0.00005394586,0.00008427368,0.01033168],"genre_scores_gemma":[0.9968634,0.00006800611,0.0008814532,0.00003116353,0.000009992098,0.000008699153,0.00002451306,0.00002455662,0.00208832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003548504,"threshold_uncertainty_score":0.01187092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914684629370035,"score_gpt":0.374688734761149,"score_spread":0.3355418884674486,"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."}}