{"id":"W4205948524","doi":"10.1002/cjce.24366","title":"Comparison of three methods for the sequential extraction of lignite pretreated by ionic liquid","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Ionic liquid; Extraction (chemistry); Chemistry; Fourier transform infrared spectroscopy; Hexafluorophosphate; Solvent; Thermogravimetric analysis; Chromatography; Coal; Acetone; Analytical Chemistry (journal); Organic chemistry; Chemical engineering; Catalysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005984619,0.0008037178,0.0005843925,0.0008757059,0.0002854417,0.0004463129,0.0004923644,0.0005751153,0.0008876167],"category_scores_gemma":[0.001060425,0.0003165763,0.0005495931,0.0006038944,0.0003447917,0.0008159815,0.000509306,0.0006092085,0.0004795083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002655954,"about_ca_system_score_gemma":0.0003771641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008223068,"about_ca_topic_score_gemma":0.002051552,"domain_scores_codex":[0.9992326,0.0001110519,0.00008375679,0.0001354462,0.0003528863,0.00008432181],"domain_scores_gemma":[0.9995409,0.0001407445,0.00009440422,0.00004414908,0.0001418765,0.00003793174],"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":[0.0002967542,0.00006714289,0.0004058134,0.0003804969,0.00003694432,0.00005513046,0.00005019581,0.0001368164,0.9892342,0.00005178984,0.00005659102,0.009228232],"study_design_scores_gemma":[0.00001602747,0.0003567498,0.001815262,0.00001383306,0.00008594341,0.0001154395,0.00004471034,0.001398915,0.9947408,0.00002710387,0.001363562,0.00002157902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250442,0.01053886,0.06013244,0.0002176255,0.0002287265,0.0004367172,0.0005579512,0.0004365931,0.002406791],"genre_scores_gemma":[0.9023106,0.007056188,0.08544008,0.0001857248,0.00008064404,0.0004655887,0.0009029676,0.0001620579,0.00339609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008876167,"threshold_uncertainty_score":0.003165007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231748238610301,"score_gpt":0.2839084931451461,"score_spread":0.2615910107590431,"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."}}