{"id":"W790656290","doi":"","title":"COMPUTATIONAL MODEL OF THE CATALYTIC CYCLE OF ORGANOSELENIUM ANTIOXIDANTS","year":2012,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Inorganic and Organometallic Chemistry","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catalysis; Chemistry; Computer science; Food science; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006467045,0.000665866,0.001046561,0.000634324,0.001162289,0.001563078,0.002139183,0.002305408,0.007334819],"category_scores_gemma":[0.001794482,0.0005325391,0.0009743483,0.001017297,0.0007588385,0.0006841025,0.0007844567,0.001275673,0.0005316536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929578,"about_ca_system_score_gemma":0.002893633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02576309,"about_ca_topic_score_gemma":0.0185729,"domain_scores_codex":[0.9998217,0.00006729373,0.000006789365,0.00001860391,0.00004874465,0.00003686038],"domain_scores_gemma":[0.998836,0.0008574738,0.00004639072,0.00005155746,0.0001439487,0.00006460991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009816232,0.00005679281,0.0009401222,0.00006166106,0.00002503284,0.0001101751,0.00002701408,0.9897621,0.0002284668,0.006852299,0.0007575824,0.001080642],"study_design_scores_gemma":[0.00003588791,0.00002370746,0.0001864244,0.000009686582,0.00000676906,0.000009338541,0.0000268104,0.9974639,0.0001287606,0.001560371,0.0005440569,0.000004180072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8642339,0.001469157,0.04525701,0.002476939,0.0002396219,0.0003080693,0.00682273,0.0005027037,0.07868984],"genre_scores_gemma":[0.9502797,0.0007158741,0.03199295,0.0004174978,0.00004890976,0.000842188,0.00449025,0.0001226105,0.01109002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02576309,"threshold_uncertainty_score":0.05122626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003298117191624397,"score_gpt":0.1375134322064948,"score_spread":0.1342153150148704,"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."}}