{"id":"W2077656480","doi":"10.1021/ic050261f","title":"Synthetic Applications of (Me<sub>3</sub>SiNSN)<sub>2</sub>E (E = S, Se) in Chalcogen-Nitrogen Chemistry:  Formation and Structural Characterization of Cl<sub>2</sub>TeESN<sub>2</sub>(E = S, Se) and [PPh<sub>4</sub>]<sub>2</sub>[Pd<sub>2</sub>(μ-Se<sub>2</sub>N<sub>2</sub>S)X<sub>4</sub>] (X = Cl, Br)","year":2005,"lang":"en","type":"article","venue":"Inorganic Chemistry","topic":"Organometallic Compounds Synthesis and Characterization","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Chemistry; Chalcogen; Raman spectroscopy; Ligand (biochemistry); Nitrogen; Mass spectrum; Crystallography; Mass spectrometry; Selenium; Nuclear magnetic resonance spectroscopy; Stereochemistry; Organic chemistry","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":[0.0001603709,0.0002572484,0.0001446097,0.0001153711,0.0001257636,0.0001986486,0.0002185467,0.0002661985,0.0008108377],"category_scores_gemma":[0.0001503493,0.0001092179,0.0001271317,0.0001528655,0.0002224111,0.0002341559,0.0003330504,0.0001544429,0.0002693189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002306659,"about_ca_system_score_gemma":0.0001766533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003221323,"about_ca_topic_score_gemma":0.0008183924,"domain_scores_codex":[0.9999301,0.00001524062,0.00000589187,0.00001677863,0.00002134149,0.00001065754],"domain_scores_gemma":[0.9999558,0.000006670017,0.00001248555,0.000006227506,0.0000118603,0.000007025278],"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":[0.0001000429,0.00001470382,0.0003036167,0.0001156423,0.000005829671,0.0001111817,0.00004256361,0.0004349926,0.9947367,0.000283006,0.00005299719,0.003798671],"study_design_scores_gemma":[0.0000117737,0.000231406,0.0008335723,0.000004059044,0.000004436722,0.0002497964,0.00003689831,0.0006954506,0.9954512,0.00006667004,0.002410758,0.000004112676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904608,0.001296935,0.003561356,0.00006031339,0.00002006521,0.0000466325,0.000154341,0.0000523802,0.004347052],"genre_scores_gemma":[0.992392,0.0007483473,0.004257211,0.00003505859,0.000004426468,0.00003304361,0.0002032492,0.00001393915,0.002312828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008108377,"threshold_uncertainty_score":0.002712488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007598288580163745,"score_gpt":0.2031792761702151,"score_spread":0.1955809875900513,"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."}}