{"id":"W2071807730","doi":"10.1016/j.ssnmr.2012.02.001","title":"NMR relaxometry as a versatile tool to study Li ion dynamics in potential battery materials","year":2012,"lang":"en","type":"article","venue":"Solid State Nuclear Magnetic Resonance","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Relaxometry; Chemistry; Relaxation (psychology); Paramagnetism; Chemical physics; Nuclear magnetic resonance; Condensed matter physics; Spin echo; Physics","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":[0.0002287589,0.0002709539,0.0003535127,0.0001984921,0.00006485664,0.00009164397,0.0002828615,0.0001052487,0.0006819647],"category_scores_gemma":[0.0000570997,0.0002801777,0.00003096674,0.0003121276,0.00004350303,0.0002827632,0.0002062468,0.0001686693,0.000622527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884021,"about_ca_system_score_gemma":0.000006068013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003138791,"about_ca_topic_score_gemma":0.00001663366,"domain_scores_codex":[0.9983281,0.00005160965,0.0004446013,0.0002868572,0.0002223896,0.0006664378],"domain_scores_gemma":[0.9993945,0.00002287886,0.00004484042,0.0004376053,0.00002216808,0.00007804026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001407663,0.001524484,0.0131216,0.0005271934,0.0001043671,0.0006636847,0.007767411,0.02039147,0.3462902,0.001420039,0.003620478,0.6031613],"study_design_scores_gemma":[0.006514579,0.004955083,0.8375222,0.0005487006,0.0001064814,0.0001709992,0.008458637,0.0151122,0.07146493,0.00594428,0.04488869,0.004313201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969553,0.0004883253,0.0001454895,0.00008339015,0.0008811638,0.0005746918,0.00007194023,0.0004459369,0.0003537607],"genre_scores_gemma":[0.9978061,0.0002535663,0.001461081,0.00009248323,0.00008891603,0.00005989448,0.000006570946,0.00009556312,0.000135875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8244006,"threshold_uncertainty_score":0.999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005544248527145952,"score_gpt":0.2194725128196799,"score_spread":0.2139282642925339,"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."}}