{"id":"W4213310688","doi":"10.26434/chemrxiv.13619180.v2","title":"Aminobismuthination of CO2","year":2021,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Carbon dioxide utilization in catalysis","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Dalhousie University; Compute Canada; Nova Scotia Research Innovation Trust","keywords":"Bismuth; Substituent; Carbamate; Rendering (computer graphics); Ligand (biochemistry); Thermal decomposition; Yield (engineering); Chemistry; Decomposition; Degradation (telecommunications); Combinatorial chemistry; Medicinal chemistry; Materials science; Organic chemistry; Computer science; Telecommunications; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008349556,0.0003916867,0.0001692908,0.0001217215,0.000155219,0.0001736569,0.00025999,0.0002723745,0.001054928],"category_scores_gemma":[0.0001633259,0.00008686724,0.00009529117,0.000118145,0.0001721756,0.000230307,0.0002620584,0.0002880709,0.0003556788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995551,"about_ca_system_score_gemma":0.0001219279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007870023,"about_ca_topic_score_gemma":0.001319713,"domain_scores_codex":[0.9998579,0.00001765227,0.000008035702,0.00003397215,0.00004328395,0.00003914864],"domain_scores_gemma":[0.999926,0.000008454106,0.00002474933,0.000009648081,0.0000181568,0.00001300452],"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":[0.00007964321,0.0000138466,0.0001009947,0.00006269669,0.000005780626,0.00009447238,0.00003482946,0.00008209006,0.9966586,0.0002509413,0.00009691723,0.002519262],"study_design_scores_gemma":[0.000001865448,0.00004989591,0.000177854,9.705367e-7,0.000002144968,0.00006641589,0.000003897092,0.0002035535,0.9982377,0.00001282186,0.001240717,0.000002077676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886245,0.001155619,0.004443245,0.0001179499,0.00007616929,0.00002041963,0.0001151732,0.000124015,0.005323009],"genre_scores_gemma":[0.9956242,0.0003832715,0.001435085,0.00003237501,0.000009734285,0.000007735865,0.0001083611,0.00003373951,0.00236551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001054928,"threshold_uncertainty_score":0.003529012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674597900597126,"score_gpt":0.2467539738808772,"score_spread":0.230007994874906,"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."}}