{"id":"W2315328827","doi":"10.1021/jp212194z","title":"Raman, FTIR, Photoacoustic-Infrared, and Inelastic Neutron Scattering Spectra of Ternary Metal Hydride Salts A<sub>2</sub>MH<sub>5</sub>, (A = Ca, Sr, Eu; M = Ir, Rh) and Their Deuterides","year":2012,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry A","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ternary operation; Hydride; Raman spectroscopy; Inelastic neutron scattering; Infrared; Raman scattering; Metal; Analytical Chemistry (journal); Materials science; Infrared spectroscopy; Inelastic scattering; Spectral line; Chemistry; Neutron; Physical chemistry; Neutron scattering; Scattering; Optics; Physics; Nuclear physics; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007679297,0.0003720013,0.0007287053,0.00004389825,0.0001408633,0.00008457017,0.0003740537,0.00009434402,0.00003735669],"category_scores_gemma":[0.00009835425,0.0002489931,0.0001603979,0.0001033958,0.0003857013,0.0005064824,0.0002742108,0.0002976025,0.00001425064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005451727,"about_ca_system_score_gemma":0.00005639362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001157872,"about_ca_topic_score_gemma":7.930091e-7,"domain_scores_codex":[0.998133,0.0001403121,0.000626798,0.000230509,0.0003475322,0.0005218358],"domain_scores_gemma":[0.9983202,0.0003171001,0.0006255492,0.0003256583,0.00009045735,0.0003210368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002766403,0.0001731596,0.00001652845,0.0002915106,0.00008292514,0.00002810408,0.0009447943,0.0001631123,0.9976624,0.000003792689,0.00008965562,0.0002673343],"study_design_scores_gemma":[0.0005833702,0.0001484941,0.0004489007,0.0002005663,0.0002470464,0.0008978465,0.0001639951,0.0003537246,0.9963659,0.0002793035,0.00005136263,0.0002595107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986361,0.0006373956,0.0001925028,0.00007270339,0.0001706785,0.0001293562,0.00007127254,0.00002304561,0.00006696364],"genre_scores_gemma":[0.9983091,0.0002073049,0.00006781677,0.00008721594,0.001269997,0.000005828411,0.000003464619,0.00004097419,0.000008301093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001296563,"threshold_uncertainty_score":0.9999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008310223481533237,"score_gpt":0.2156289238349842,"score_spread":0.207318700353451,"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."}}