{"id":"W4226052647","doi":"10.1038/s44160-022-00055-y","title":"Nickel upgrades nitrogen waste","year":2022,"lang":"en","type":"article","venue":"Nature Synthesis","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Greenhouse gas; Nitrogen; Nickel; Pollutant; Environmental science; Waste management; Carbon fibers; Natural resource economics; Materials science; Chemistry; Engineering; Metallurgy; Economics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001692467,0.0003155256,0.0003416911,0.0004261532,0.0005446884,0.0006422373,0.0004025667,0.0004548058,0.004222846],"category_scores_gemma":[0.0001910336,0.0001398319,0.0002732643,0.000358674,0.0002829174,0.0006845943,0.0006463176,0.0005684483,0.001860154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095789,"about_ca_system_score_gemma":0.0005430875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017167,"about_ca_topic_score_gemma":0.003493319,"domain_scores_codex":[0.9997357,0.00001804352,0.0000106965,0.00005041648,0.0001356813,0.00004950645],"domain_scores_gemma":[0.9999365,0.000008030434,0.000006792067,0.00001585343,0.00002105109,0.00001173576],"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":[0.0006582236,0.0001736415,0.001750128,0.0005854714,0.00003628899,0.0008411825,0.0001901492,0.001375323,0.8727797,0.0281608,0.008868533,0.08458056],"study_design_scores_gemma":[0.00001879461,0.00026401,0.001616261,0.00002942216,0.00003037107,0.000432235,0.0001089596,0.001868718,0.8665373,0.002679846,0.1263965,0.00001756425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6821658,0.005018602,0.01694016,0.002166693,0.001311458,0.0001195074,0.0009939902,0.002245121,0.2890385],"genre_scores_gemma":[0.9099487,0.002729404,0.004330491,0.0003538185,0.0001173662,0.00004127706,0.0008714317,0.0002157685,0.08139173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004222846,"threshold_uncertainty_score":0.01412678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006745436450839941,"score_gpt":0.2168139795709838,"score_spread":0.2100685431201438,"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."}}