{"id":"W4221129963","doi":"10.1016/j.wasman.2022.03.005","title":"Catalytic conversion of waste corrugated cardboard into lactic acid using lanthanide triflates","year":2022,"lang":"en","type":"article","venue":"Waste Management","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Korea Institute of Science and Technology","keywords":"cardboard; Lanthanide; Context (archaeology); Raw material; Waste management; Trifluoromethanesulfonate; Catalysis; Chemistry; Lactic acid; Ytterbium; Organic chemistry; Materials science; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001116506,0.0001412545,0.000186156,0.00007636787,0.00008383862,0.00001469608,0.000199845,0.00002620442,0.00005276203],"category_scores_gemma":[0.000002024244,0.0001572493,0.00006601756,0.0001978318,0.00002063783,0.00005483847,0.0002748966,0.0001229143,0.00001581706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000197553,"about_ca_system_score_gemma":0.000007396666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004815826,"about_ca_topic_score_gemma":9.561807e-7,"domain_scores_codex":[0.9991473,0.00001777197,0.0002157742,0.0001672894,0.0002496173,0.000202232],"domain_scores_gemma":[0.9995968,0.00001250676,0.0000529521,0.0002732947,0.00001410448,0.00005028294],"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":[0.000116791,0.0002028789,0.001020155,0.007429718,0.001518713,0.0004458305,0.003191876,0.1915847,0.7450671,0.000214577,0.0459248,0.003282917],"study_design_scores_gemma":[0.0006623811,0.00003268006,0.000005675114,0.00004493942,0.0001393663,0.000007062063,0.005606488,0.04062985,0.9494667,0.00001778946,0.003183136,0.0002039124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832967,0.0009297578,0.0002085827,0.00003530107,0.0009557125,0.0002612515,0.00002115576,0.0001942544,0.01409729],"genre_scores_gemma":[0.9989196,0.00003414067,0.0003051386,0.00002427259,0.00005175551,0.00001393687,0.00004260414,0.00003075065,0.0005777713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2043997,"threshold_uncertainty_score":0.6412439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00819176222457169,"score_gpt":0.1941020156679925,"score_spread":0.1859102534434208,"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."}}