{"id":"W4327518821","doi":"10.1039/d3gc00011g","title":"Accessing secondary amine containing fine chemicals and polymers with an earth-abundant hydroaminoalkylation catalyst","year":2023,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Carbon dioxide utilization in catalysis","field":"Chemical Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs; Alexander von Humboldt-Stiftung","keywords":"Catalysis; Earth (classical element); Amine gas treating; Polymer; Rare earth; Titanium; Chemistry; Organic chemistry; Atom (system on chip); Chemical engineering; Combinatorial chemistry; Polymer chemistry; Mineralogy; Physics; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001534786,0.0002707066,0.0003249743,0.00008572456,0.000097931,0.00007951142,0.0002049763,0.0001667459,0.0004131287],"category_scores_gemma":[0.00008767544,0.0002756246,0.00005725694,0.0006471158,0.0001273825,0.0003157443,0.0001399608,0.0002814469,0.00001445308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006137991,"about_ca_system_score_gemma":0.00005206852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001368231,"about_ca_topic_score_gemma":0.00002923232,"domain_scores_codex":[0.9984124,0.000009658377,0.0003602473,0.0005257867,0.0003159188,0.0003759657],"domain_scores_gemma":[0.9990044,0.0001148919,0.0001369537,0.0004457329,0.00006543011,0.0002326053],"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":[0.00005311018,0.00001576477,0.003045828,0.0002149456,0.00007803381,0.00003356078,0.0002633227,0.0003972246,0.9865794,0.000005103342,0.00002420739,0.009289525],"study_design_scores_gemma":[0.0009176697,0.00001994245,0.001403934,0.0001008942,0.00008081257,0.00006383239,0.0003795015,0.06201902,0.9342167,0.00001622151,0.0003468732,0.0004346072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955477,0.0001850727,0.0004516581,0.0001284626,0.00002495319,0.0000790589,0.0000503963,0.0004938497,0.003038857],"genre_scores_gemma":[0.9960438,0.000007290244,0.0002833271,0.0000340829,0.0001790212,0.00002445856,0.001243401,0.00006684434,0.002117774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0616218,"threshold_uncertainty_score":0.9999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234553615361583,"score_gpt":0.2366169171183788,"score_spread":0.224271380964763,"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."}}