{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.003679087,0.009144534,0.008785132,0.002567276,0.003338541,0.002400214,0.005608544,0.007462942,0.0003236271],"category_scores_gemma":[0.001874585,0.01100223,0.003352528,0.00780293,0.003639622,0.005922318,0.003795752,0.006997618,0.0007934973],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005616347,"about_ca_system_score_gemma":0.003364061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007825848,"about_ca_topic_score_gemma":0.0004901094,"domain_scores_codex":[0.9612979,0.001371421,0.0125775,0.009999597,0.006685907,0.008067678],"domain_scores_gemma":[0.9707949,0.001904914,0.01098433,0.008603367,0.003631295,0.004081181],"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":[0.001557949,0.003252269,0.002056263,0.007877797,0.002274467,0.0002254992,0.00311222,0.0001895633,0.9023846,0.000070027,0.0006761441,0.07632324],"study_design_scores_gemma":[0.009761726,0.0004598796,0.005458413,0.003252224,0.003372552,0.00245761,0.001817062,0.00314397,0.9585757,0.0008167779,0.001051393,0.009832682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768507,0.003621496,0.001277822,0.001232748,0.001398531,0.00594692,0.006651428,0.002458821,0.0005615308],"genre_scores_gemma":[0.9549433,0.01797436,0.0001731717,0.0007460468,0.004632751,0.002377674,0.01650372,0.002609668,0.00003933862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06649056,"threshold_uncertainty_score":0.9999845,"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."}}