{"id":"W2766706497","doi":"10.1002/cjce.23057","title":"Cellulose transformation into methyl glucosides catalyzed by H<sub>3</sub>PW<sub>12</sub>O<sub>40</sub>: Enhancement of ionic liquid pretreatment","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ionic liquid; Cellulose; Yield (engineering); Catalysis; Methanol; Chemistry; Monosaccharide; Chloride; Organic chemistry; Nuclear chemistry; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005242476,0.0004545739,0.0006128916,0.0003528756,0.0001974013,0.0001331308,0.0007712857,0.0002441159,0.0000131808],"category_scores_gemma":[0.0001339612,0.0004142644,0.0003968218,0.0002087292,0.0001422693,0.0005446674,0.00004846725,0.0005225787,0.00002009687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449641,"about_ca_system_score_gemma":0.0002525797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004979731,"about_ca_topic_score_gemma":0.0007121899,"domain_scores_codex":[0.9976659,0.00002618993,0.0009287156,0.0002330731,0.0005128979,0.0006331566],"domain_scores_gemma":[0.998041,0.000094127,0.0003650979,0.0006413513,0.000159826,0.0006986524],"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":[0.00006852272,0.00002277607,0.000007227974,0.0002160573,0.0003851074,0.00001998934,0.0008830254,0.006010289,0.987771,0.00001644683,0.0002843337,0.004315169],"study_design_scores_gemma":[0.0008803325,0.0001010302,0.00004066259,0.0002949085,0.0002758449,0.00004812221,0.00002675049,0.008818788,0.9888899,0.00003440146,0.0002005831,0.0003886191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946303,0.001459956,0.002681695,0.0003078521,0.0004834348,0.0002958952,0.0000407916,0.0000479042,0.00005212601],"genre_scores_gemma":[0.9992726,0.0002509245,0.0001331402,0.00001576616,0.0001441442,0.00002133082,0.00007764689,0.00008274572,0.000001630825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004642326,"threshold_uncertainty_score":0.9998309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005314360931604772,"score_gpt":0.1807747171650215,"score_spread":0.1754603562334167,"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."}}