{"id":"W2053993235","doi":"10.1002/chin.200934215","title":"ChemInform Abstract: Solid‐State Selenium‐77 NMR","year":2009,"lang":"en","type":"article","venue":"ChemInform","topic":"Organic and Molecular Conductors Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"","keywords":"Chemistry; Selenium; Solid-state; Service (business); State (computer science); Library science; Organic chemistry; Physical chemistry; Algorithm; Business; Marketing; Computer science","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":[0.000716749,0.001495897,0.0007111049,0.001630042,0.001249781,0.001473107,0.001530847,0.001104769,0.2405118],"category_scores_gemma":[0.0005858067,0.0007286199,0.0003566895,0.001326658,0.0005585369,0.001896116,0.001083595,0.001753092,0.04528414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006886015,"about_ca_system_score_gemma":0.001096507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007524807,"about_ca_topic_score_gemma":0.001536775,"domain_scores_codex":[0.9995049,0.00005411256,0.00001755512,0.0001026823,0.0002334022,0.00008739137],"domain_scores_gemma":[0.9997315,0.00006809601,0.00002686043,0.00004610064,0.00008214308,0.00004534291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001298475,0.0001930563,0.0005144501,0.002081414,0.0001114585,0.0008711148,0.0002627733,0.001206046,0.4082733,0.01436098,0.4829267,0.08790026],"study_design_scores_gemma":[0.0002943966,0.0004979263,0.0013488,0.000177186,0.000086529,0.0008465101,0.0003073734,0.004389784,0.5700791,0.004387381,0.4174334,0.0001516397],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1086871,0.006842356,0.1165164,0.006089956,0.004481491,0.0005118458,0.08599095,0.03706214,0.6338178],"genre_scores_gemma":[0.4087837,0.01225732,0.04306326,0.002647665,0.001303065,0.000474782,0.1245136,0.006201546,0.400755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2405118,"threshold_uncertainty_score":0.804592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805395911150054,"score_gpt":0.2794731343733551,"score_spread":0.2614191752618545,"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."}}