{"id":"W4281645405","doi":"10.1021/acsmaterialslett.2c00377","title":"Metal Halide Perovskite and Perovskite-like Materials through the Lens of Ultra-wideline <sup>35/37</sup> Cl NMR Spectroscopy","year":2022,"lang":"en","type":"article","venue":"ACS Materials Letters","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Halide; Perovskite (structure); Halogen; Nuclear magnetic resonance spectroscopy; Metal; Solid-state nuclear magnetic resonance; Chemistry; Spectroscopy; Semiconductor; Metal halides; Chemical physics; Materials science; Crystallography; Inorganic chemistry; Nuclear magnetic resonance; Optoelectronics; Physics; Stereochemistry","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":[0.0002315521,0.0004186073,0.0001768507,0.0001784099,0.0002431937,0.0004839487,0.000437363,0.0002573585,0.001632951],"category_scores_gemma":[0.0002322768,0.0002304015,0.0001243266,0.0001657033,0.0005385328,0.0007847646,0.0007031155,0.0007870016,0.0005608532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004369327,"about_ca_system_score_gemma":0.0003136257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007371232,"about_ca_topic_score_gemma":0.001822809,"domain_scores_codex":[0.9998465,0.00002370664,0.000005362241,0.00004531631,0.00006044552,0.00001871728],"domain_scores_gemma":[0.999891,0.00002549329,0.00002854563,0.00001872239,0.00002063435,0.00001559533],"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":[0.00008527928,0.00001106458,0.0002140864,0.0001432086,0.000007516406,0.00007477123,0.0001115813,0.00050994,0.9731663,0.007966454,0.0007087845,0.01700102],"study_design_scores_gemma":[0.00001114095,0.00008269118,0.0003812452,0.000009172431,0.000005572871,0.0001863478,0.00009351534,0.00344977,0.9752915,0.001185072,0.01929257,0.00001138983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7866775,0.01059005,0.1403771,0.00247586,0.0001912914,0.0001637037,0.001029335,0.003142186,0.05535297],"genre_scores_gemma":[0.8846101,0.003169953,0.1040451,0.0004263702,0.0000559164,0.00007918634,0.000451369,0.0001979371,0.006964206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001632951,"threshold_uncertainty_score":0.005462766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526832732384534,"score_gpt":0.2640924777983427,"score_spread":0.2488241504744974,"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."}}