{"id":"W3155479037","doi":"10.1016/j.physb.2021.413045","title":"Energy spectrum of massive Dirac particles in gapped graphene with Morse potential","year":2021,"lang":"en","type":"article","venue":"Physica B Condensed Matter","topic":"Graphene research and applications","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Quantum Research Center","funders":"","keywords":"Dirac equation; Hamiltonian (control theory); Physics; Wave function; Graphene; Quantum mechanics; Spinor; Morse potential; Electron; Eigenvalues and eigenvectors; Mathematical physics; Quantum electrodynamics; Mathematics","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":[0.0005791881,0.0006782124,0.000716316,0.002250335,0.001475453,0.001611089,0.001307725,0.002467924,0.005147429],"category_scores_gemma":[0.001277391,0.0004465266,0.0005565326,0.0007054005,0.002312566,0.001189686,0.001397359,0.001204506,0.0006274033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006076348,"about_ca_system_score_gemma":0.0002919676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000605021,"about_ca_topic_score_gemma":0.0006317776,"domain_scores_codex":[0.9997675,0.00006399761,0.00001078777,0.00002925479,0.00006774138,0.00006072923],"domain_scores_gemma":[0.9993673,0.0002198646,0.00007490605,0.0000735452,0.00006925451,0.000195166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006256375,0.0001913966,0.002103299,0.0002331809,0.00007441943,0.002530362,0.0005399272,0.02985679,0.03621684,0.919238,0.002730218,0.005659966],"study_design_scores_gemma":[0.0001465656,0.000138819,0.006605608,0.0001071054,0.00003479825,0.001320247,0.0004308691,0.3657298,0.006710725,0.6172737,0.001388998,0.0001126101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9312925,0.0009684943,0.01546845,0.001536541,0.0002993754,0.00002803258,0.0001587168,0.0003491434,0.04989872],"genre_scores_gemma":[0.9944721,0.0001110855,0.0016348,0.0002049558,0.00006687727,0.00001809683,0.00007946463,0.00004472504,0.003367952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005147429,"threshold_uncertainty_score":0.01721984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008579267464756738,"score_gpt":0.2324478720972792,"score_spread":0.2238686046325225,"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."}}