{"id":"W2309765783","doi":"10.1051/mmnp/201611203","title":"Localization Error Estimate for the Massless Relativistic Kinetic Energy Operator","year":2016,"lang":"en","type":"article","venue":"Mathematical Modelling of Natural Phenomena","topic":"Spectral Theory in Mathematical Physics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Agence Nationale de la Recherche","keywords":"Kinetic energy; Massless particle; Energy operator; Operator (biology); Physics; Space (punctuation); Term (time); Energy (signal processing); Mathematics; Mathematical physics; Classical mechanics; Quantum mechanics; Computer science; Chemistry","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":[0.002829757,0.001138824,0.0008459738,0.001576713,0.0006343155,0.001099977,0.00142677,0.001286607,0.003015166],"category_scores_gemma":[0.009218507,0.0002851031,0.0007907678,0.0004646599,0.00307712,0.002501701,0.00337609,0.002208899,0.0009721326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080137,"about_ca_system_score_gemma":0.000734937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054421,"about_ca_topic_score_gemma":0.0005568025,"domain_scores_codex":[0.9991212,0.0002831746,0.00004583842,0.0001736349,0.0002844646,0.00009169237],"domain_scores_gemma":[0.9961404,0.001950863,0.0004172663,0.0004397374,0.0007662678,0.0002854222],"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":[0.0001653767,0.00004474449,0.0008233983,0.0003107414,0.00006093078,0.0002991825,0.0003537622,0.0613748,0.02053314,0.8992544,0.002407748,0.01437179],"study_design_scores_gemma":[0.00002765913,0.00009501777,0.0008517724,0.0001125809,0.00004376939,0.0002132248,0.0001191561,0.486967,0.01121619,0.4963536,0.00388508,0.0001149871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04141138,0.000946865,0.9439957,0.001603622,0.0003547489,0.00002199212,0.00006829101,0.0003335084,0.01126391],"genre_scores_gemma":[0.8576719,0.00150232,0.1223981,0.0008573482,0.0004876101,0.0001549309,0.0001851626,0.0005379473,0.01620476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003015166,"threshold_uncertainty_score":0.01496536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0747117736507229,"score_gpt":0.3175150252131452,"score_spread":0.2428032515624223,"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."}}