{"id":"W2987496464","doi":"10.1002/ejic.201901087","title":"Controlling the Thermal Stability and Volatility of Organogold(I) Compounds for Vapor Deposition with Complementary Ligand Design","year":2019,"lang":"en","type":"article","venue":"European Journal of Inorganic Chemistry","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Carleton University","keywords":"Chemistry; Thermogravimetric analysis; Thermal stability; Density functional theory; Volatility (finance); Differential scanning calorimetry; Intermolecular force; Chemical vapor deposition; Atomic layer deposition; Dissociation (chemistry); Thermal decomposition; Stacking; Computational chemistry; Physical chemistry; Molecule; Organic chemistry; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006716441,0.0001089342,0.0002198944,0.000008440486,0.00003580051,0.00003503039,0.0001421644,0.0000156788,0.0001165782],"category_scores_gemma":[0.00001548706,0.00007056406,0.00003511528,0.00003717076,0.00004330376,0.00008858905,0.0000196642,0.0001017649,4.829017e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002520566,"about_ca_system_score_gemma":0.00002236232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001717131,"about_ca_topic_score_gemma":4.288914e-7,"domain_scores_codex":[0.9992664,0.00005999279,0.0003821262,0.00008161057,0.0001068686,0.0001030026],"domain_scores_gemma":[0.9993614,0.0001451081,0.0002004429,0.000140614,0.0001107341,0.00004170711],"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":[0.0001746645,0.00001549579,0.005834988,0.0002190402,0.00008429078,0.000002403746,0.0003025528,0.000129353,0.9931334,4.400771e-7,0.0000350216,0.00006833295],"study_design_scores_gemma":[0.001342377,0.0001219457,0.005476672,0.00007331283,0.00005585862,0.00007247007,0.0003330354,0.001247044,0.9911524,0.000007681222,0.00003298798,0.00008419094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973461,0.0004527141,0.001703632,0.00002223225,0.00008659191,0.0001399642,0.000015381,0.00001335146,0.0002200087],"genre_scores_gemma":[0.9990177,0.00001134362,0.0008075696,0.00001806184,0.0001150638,3.794784e-7,0.000003851178,0.00002394637,0.000002106463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001980992,"threshold_uncertainty_score":0.2877519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434500811246705,"score_gpt":0.1892500445526024,"score_spread":0.1749050364401353,"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."}}