{"id":"W2659168656","doi":"10.2174/2213240604666170623125856","title":"Molecular Level-based Analysis of Organosolv Wastewater","year":2017,"lang":"en","type":"article","venue":"Current Chromatography","topic":"Biochemical and biochemical processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Organosolv; Chemistry; Derivatization; Syringaldehyde; Vanillin; Lignin; Organic chemistry; Chromatography; High-performance liquid chromatography","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":[0.0001290795,0.0003674783,0.0001984346,0.0005818681,0.0001546371,0.0004386408,0.0002305742,0.0005206371,0.0008232978],"category_scores_gemma":[0.000131232,0.00009629266,0.0002627521,0.0003492294,0.0001518065,0.0002291188,0.0001876281,0.0004240279,0.000442171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000327401,"about_ca_system_score_gemma":0.0001926773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007472887,"about_ca_topic_score_gemma":0.000945524,"domain_scores_codex":[0.9998098,0.00001621678,0.000007900607,0.00005982098,0.00008088871,0.00002534468],"domain_scores_gemma":[0.999928,0.00001208771,0.00001773386,0.000005398835,0.0000307243,0.000006025341],"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":[0.00003422847,0.00001244881,0.0006463084,0.00005213129,0.000007445316,0.00002213392,0.0000118614,0.00009704936,0.996735,0.00003335328,0.00002299925,0.00232493],"study_design_scores_gemma":[0.00000306406,0.00009463597,0.006511193,0.00001504782,0.00002255973,0.00008472159,0.00003713381,0.002361346,0.9893913,0.00008891481,0.001382413,0.000007706147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617216,0.002321833,0.03034202,0.00008456025,0.00003439998,0.00009610631,0.002249833,0.0003741845,0.002775513],"genre_scores_gemma":[0.9717975,0.002136348,0.0206501,0.0001645183,0.00001727705,0.0001001506,0.002135429,0.00007302036,0.002925671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008232978,"threshold_uncertainty_score":0.002754152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330517952664049,"score_gpt":0.2857839794149013,"score_spread":0.2624787998882608,"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."}}