{"id":"W4390036664","doi":"10.26434/chemrxiv-2023-vff9v","title":"Organosilicon Biotechnology II: Biocatalysis at Silicon","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Loyalist College","funders":"","keywords":"Organosilicon; Silicon; Biocatalysis; Chemistry; Nanotechnology; Biochemical engineering; Organic chemistry; Materials science; Engineering; Catalysis; Reaction mechanism","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005943557,0.0003775524,0.0006010116,0.0003755688,0.0002964518,0.0001463022,0.001334799,0.0009090201,0.002282213],"category_scores_gemma":[0.0003041859,0.0003452824,0.0002318414,0.0005112674,0.000412979,0.00005938894,0.007392855,0.0005820576,0.008295725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450312,"about_ca_system_score_gemma":0.0001857762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000401022,"about_ca_topic_score_gemma":0.00008411393,"domain_scores_codex":[0.997094,0.00005032087,0.0004223891,0.001234616,0.000454195,0.0007445004],"domain_scores_gemma":[0.9978403,0.00009236887,0.0001998045,0.001587023,0.0001036077,0.0001769299],"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":[0.00001131654,0.0000730734,0.0005149032,0.0001945691,0.00003859225,0.00003321252,0.00008631992,0.00001944088,0.9909381,0.0002781424,0.007014013,0.0007983602],"study_design_scores_gemma":[0.0001574395,0.00003564858,0.0006186527,0.00007519574,0.00003588524,0.000004339502,0.00003313281,0.0001255186,0.9907618,0.00111293,0.006668842,0.0003706419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931222,0.0005671764,0.00001959244,0.003428959,0.0009488749,0.0003209183,0.00003997564,0.0009307047,0.000621577],"genre_scores_gemma":[0.9899985,0.000625046,0.0001553716,0.00007696644,0.0002631904,0.0001624932,0.0001880518,0.0001009362,0.008429514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007807937,"threshold_uncertainty_score":0.9998999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03623782803484269,"score_gpt":0.2923397105804503,"score_spread":0.2561018825456076,"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."}}