{"id":"W2528393130","doi":"","title":"Donor‐Acceptor Stabilization in Main Group Elements: A Computational Study","year":2015,"lang":"en","type":"article","venue":"URSCA Proceedings","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Germanium; Reagent; Carbon group; Hydride; Acceptor; Lithium (medication); Combinatorial chemistry; Chemistry; Electron acceptor; Nanocrystal; Thermal decomposition; Silicon; Lewis acids and bases; Materials science; Decomposition; Nanotechnology; Photochemistry; Group (periodic table); Metal; Organic chemistry; Catalysis; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002993592,0.0001178399,0.0001360374,0.0001118394,0.00001883059,0.000100483,0.0001030774,0.00003862766,0.00009608476],"category_scores_gemma":[0.00003097506,0.0001176643,0.00001286169,0.0002134184,0.00001014952,0.0003880072,0.00002751104,0.00005434005,0.00002799898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001331271,"about_ca_system_score_gemma":0.00001197471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002993405,"about_ca_topic_score_gemma":0.00003013455,"domain_scores_codex":[0.9991919,0.00000570616,0.0002674558,0.0001615464,0.0001990207,0.0001743354],"domain_scores_gemma":[0.9997755,0.00001011837,0.00003594912,0.00003952817,0.00007144942,0.00006749142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001036459,0.000755364,0.8935412,0.0003503303,0.00009843204,0.000007286703,0.0255086,0.01273482,0.0458023,0.002783365,0.01729268,0.001021972],"study_design_scores_gemma":[0.02060511,0.002264534,0.5395303,0.0003490114,0.0001596553,0.00004731516,0.1158702,0.2602187,0.01035514,0.0214571,0.02569727,0.003445647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978124,0.00006461512,0.00009369462,0.0000167639,0.0002770826,0.0003424767,0.000006225938,0.0001875117,0.001199257],"genre_scores_gemma":[0.9987124,0.00000246126,0.001021538,0.00003261013,0.0001164635,0.00005586359,0.00002027672,0.0000248681,0.00001355396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3540109,"threshold_uncertainty_score":0.479821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231234709176696,"score_gpt":0.2428261005889428,"score_spread":0.2197026296712732,"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."}}