{"id":"W2343008218","doi":"10.1039/c6gc00814c","title":"Depolymerization of cellulose to processable glucans by non-thermal technologies","year":2016,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Ontario Ministry of Research, Innovation and Science","keywords":"Depolymerization; Cellulose; Reactivity (psychology); Sonochemistry; Thermal; Catalysis; Materials science; Chemistry; Organic chemistry; Chemical engineering; Polymer science; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002522687,0.0005373765,0.0004207795,0.0004163923,0.0002127715,0.000410836,0.00036945,0.0003429899,0.001976959],"category_scores_gemma":[0.0002115678,0.00021343,0.0007042657,0.0003403184,0.0002999179,0.0008004279,0.0004034527,0.0008682085,0.0008253508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604498,"about_ca_system_score_gemma":0.0003012384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001905892,"about_ca_topic_score_gemma":0.0005312028,"domain_scores_codex":[0.9997857,0.00002552709,0.00001400562,0.00003981069,0.00009566933,0.00003921262],"domain_scores_gemma":[0.9999257,0.00002847185,0.00001743429,0.000007534195,0.00001385177,0.000007052454],"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":[0.00007099676,0.0001224417,0.0002282849,0.005274959,0.00005973522,0.0006162317,0.0001035772,0.0009336006,0.8990304,0.006753262,0.0006708169,0.08613579],"study_design_scores_gemma":[0.00001073342,0.0003385469,0.0009550897,0.0001290938,0.0000410863,0.001095274,0.00004300562,0.0007343176,0.947684,0.001078869,0.04786922,0.00002081422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3171156,0.4662182,0.1484434,0.001051364,0.001955183,0.0003620125,0.0003625027,0.0003253959,0.06416636],"genre_scores_gemma":[0.5586517,0.3517946,0.06269259,0.0007501597,0.000629973,0.0002940636,0.0005125143,0.0001610403,0.02451332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001976959,"threshold_uncertainty_score":0.006613612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007640679747055295,"score_gpt":0.2432021837016905,"score_spread":0.2355615039546352,"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."}}