{"id":"W2800937713","doi":"10.1002/chem.201801139","title":"Enantiopure Phospha[1]ferrocenophanes: Textbook Examples of Through‐Space Nuclear Spin–Spin Coupling","year":2018,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Ferrocene Chemistry and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Crosslight Software (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enantiopure drug; Chemistry; Moiety; Metathesis; Isopropyl; Chirality (physics); Crystallography; Coupling (piping); Ferrocene; Stereochemistry; Medicinal chemistry; Organic chemistry; Materials science; Chiral symmetry; Enantioselective synthesis; Physics; Quantum mechanics; Physical chemistry; Catalysis","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003679059,0.0004564775,0.0004268903,0.00002143136,0.0006226488,0.0001477095,0.001102715,0.0001538384,0.007491558],"category_scores_gemma":[0.0002034594,0.0004516546,0.0002653889,0.000231109,0.0005982303,0.0002135744,0.0002233628,0.0008407666,0.0002636973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024531,"about_ca_system_score_gemma":0.0001518747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003889807,"about_ca_topic_score_gemma":2.147661e-7,"domain_scores_codex":[0.9974828,0.00002068457,0.0008675975,0.0005822415,0.0004295292,0.0006171842],"domain_scores_gemma":[0.9976324,0.00005352865,0.0007528348,0.0008125169,0.00039787,0.0003507922],"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":[0.00007765981,0.0001715972,0.0001919359,0.0004660354,0.00008785215,0.00008408828,0.0006985772,0.00003894524,0.9914894,0.0000556177,0.006081167,0.0005571959],"study_design_scores_gemma":[0.0009914918,0.00004122512,0.00007168704,0.0005678895,0.00008372317,0.0007651512,0.001340911,0.0008388013,0.8679863,0.0001228332,0.1267001,0.0004899286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8802431,0.0008292954,0.0004130091,0.0002325284,0.00008181831,0.0000507365,0.00004402938,0.0001631989,0.1179423],"genre_scores_gemma":[0.9891056,0.0003137936,0.002332187,0.00009674406,0.002143753,0.000003915005,0.0000413427,0.0001459482,0.005816728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1235031,"threshold_uncertainty_score":0.9997935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193701328058924,"score_gpt":0.2554613962753294,"score_spread":0.2335243829947402,"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."}}