{"id":"W2159113277","doi":"10.1002/anie.200705204","title":"Application of Ultrahigh‐Field <sup>59</sup>Co Solid‐State NMR Spectroscopy in the Investigation of the 1,2‐Polybutadiene Catalyst [Co(C<sub>8</sub>H<sub>13</sub>)(C<sub>4</sub>H<sub>6</sub>)]","year":2008,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Polybutadiene; Nuclear magnetic resonance spectroscopy; Field (mathematics); Spectroscopy; Quadrupole; Solid-state; Catalysis; Spectrum (functional analysis); Chemistry; Content (measure theory); State (computer science); Analytical Chemistry (journal); Materials science; Nuclear magnetic resonance; Physical chemistry; Physics; Copolymer; Computer science; Atomic physics; Organic chemistry; Mathematics; Polymer; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001796843,0.0002095935,0.0001771687,0.0002103415,0.000368102,0.0004331832,0.0002574216,0.0004190179,0.00153699],"category_scores_gemma":[0.0002339674,0.0001767108,0.0000950445,0.0002218538,0.0005718335,0.0003496567,0.0002100559,0.0004559074,0.0002882176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003923877,"about_ca_system_score_gemma":0.0003044066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058798,"about_ca_topic_score_gemma":0.002325587,"domain_scores_codex":[0.999863,0.0000192046,0.000004486903,0.00003737797,0.00005082283,0.0000250478],"domain_scores_gemma":[0.999811,0.00007687288,0.00003460754,0.00002383198,0.0000347159,0.00001906328],"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":[0.00003024273,0.000005262233,0.0001107095,0.00002500064,0.000002092306,0.00004127045,0.00001121335,0.00004949654,0.9988962,0.00009776615,0.00001547208,0.0007151806],"study_design_scores_gemma":[0.000003151295,0.00002349804,0.000755156,0.000001839951,0.000003757152,0.0001054568,0.00001571426,0.0003974809,0.9980933,0.00002223961,0.0005757669,0.000002618059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809615,0.00137244,0.01138168,0.0002288377,0.00004454764,0.00002810847,0.0001671554,0.0001099641,0.005705683],"genre_scores_gemma":[0.9913979,0.000656492,0.006682209,0.00005008257,0.00001046914,0.00001755401,0.0001014029,0.00001715839,0.0010667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00153699,"threshold_uncertainty_score":0.005141735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111010565962266,"score_gpt":0.260471095636041,"score_spread":0.2493609899764183,"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."}}