{"id":"W4406618126","doi":"10.1002/cmtd.202400078","title":"<sup>35</sup>Cl NMR of Metal‐Organic Frameworks: What Can We Learn?","year":2025,"lang":"en","type":"article","venue":"Chemistry - Methods","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Compute Canada","keywords":"Metal; Chemistry; Materials science; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009810786,0.000560177,0.001006649,0.00006861317,0.0002234168,0.0001820368,0.001210583,0.001426298,0.01843806],"category_scores_gemma":[0.001894874,0.0005619091,0.0004713872,0.0008824897,0.0003345885,0.0001824691,0.0003853714,0.001747199,0.00004010199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165655,"about_ca_system_score_gemma":0.0002962053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001642157,"about_ca_topic_score_gemma":0.000001055207,"domain_scores_codex":[0.9968447,0.0001597632,0.001008282,0.0009719096,0.0003881201,0.0006271976],"domain_scores_gemma":[0.9954247,0.001524177,0.0004299033,0.002176497,0.000190876,0.0002538701],"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":[0.00001301808,0.0002998491,0.00007770161,0.0009218715,0.0003821907,0.000003002912,0.0003499881,0.00007872889,0.8876876,0.0006684908,0.001046667,0.1084708],"study_design_scores_gemma":[0.0002950927,0.000005769784,0.00000835874,0.0008124343,0.0003618834,0.0000119272,0.00337588,0.001257675,0.9289093,0.006795528,0.05772286,0.0004432874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5720369,0.06384142,0.2403588,0.01334681,0.0006615255,0.0008506055,0.0002268693,0.001282395,0.1073947],"genre_scores_gemma":[0.6857484,0.007187202,0.2491255,0.0007688163,0.0008096672,0.0003622554,0.000167986,0.0002594558,0.0555707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1137115,"threshold_uncertainty_score":0.9998701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048858774229729,"score_gpt":0.316892665538644,"score_spread":0.2964040777963468,"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."}}