{"id":"W2123174163","doi":"10.1063/1.3700087","title":"Longitudinal static optical properties of hydrogen chains: Finite field extrapolations of matrix product state calculations","year":2012,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Advanced Chemical Physics Studies","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Fonds Wetenschappelijk Onderzoek; Compute Canada; Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; Universiteit Gent; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Field (mathematics); Matrix (chemical analysis); Product (mathematics); Matrix multiplication; Statistical physics; State (computer science); Physics; Computational physics; Molecular physics; Materials science; Computer science; Mathematics; Quantum mechanics; Algorithm; Composite material; Geometry; Pure mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009040271,0.0005286116,0.0006003389,0.0009632205,0.0006246509,0.0005574889,0.001111153,0.0006250506,0.003453061],"category_scores_gemma":[0.001946773,0.0003074188,0.0003223535,0.001004166,0.0006132874,0.0007904054,0.0006729529,0.0007413568,0.0002728093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005451722,"about_ca_system_score_gemma":0.0006649829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002350496,"about_ca_topic_score_gemma":0.002688612,"domain_scores_codex":[0.99978,0.00008602824,0.000006434495,0.00001113328,0.0000776578,0.00003876447],"domain_scores_gemma":[0.9990472,0.0005426951,0.00005356782,0.0001061926,0.000196587,0.000053694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003120989,0.0003257144,0.002287049,0.0002803932,0.00006634855,0.0004101899,0.0003772883,0.864118,0.03796575,0.06068385,0.0009238465,0.03224954],"study_design_scores_gemma":[0.00002504994,0.00006092568,0.0003293869,0.00001177467,0.000005379706,0.00001350816,0.00002497299,0.9869102,0.007199478,0.005135761,0.0002733058,0.00001028798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263409,0.0003083618,0.05898147,0.0002453235,0.00003156059,0.00004438727,0.0001741616,0.0005366835,0.01333709],"genre_scores_gemma":[0.9766071,0.0001680693,0.02120909,0.00003601765,0.00001945187,0.00006144839,0.0001414106,0.0001463169,0.00161105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003453061,"threshold_uncertainty_score":0.01155162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977817900613819,"score_gpt":0.2824551057696401,"score_spread":0.2526769267635018,"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."}}