{"id":"W2316808367","doi":"10.1021/es201716u","title":"Response to Comment on “HILIC-NMR: Toward the Identification of Individual Molecular Components in Dissolved Organic Matter”","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrophilic interaction chromatography; Dissolved organic carbon; Chemistry; Identification (biology); Chromatography; Environmental chemistry; High-performance liquid chromatography; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002401923,0.00136784,0.000852511,0.001272936,0.002551485,0.001955162,0.001568818,0.01165446,0.2623127],"category_scores_gemma":[0.01713315,0.0005774216,0.001197874,0.0008039078,0.00108585,0.002220195,0.001665848,0.007411092,0.1790778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002430262,"about_ca_system_score_gemma":0.00229139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006085509,"about_ca_topic_score_gemma":0.007982608,"domain_scores_codex":[0.9973552,0.000267445,0.0002152149,0.0002534918,0.001572999,0.0003356887],"domain_scores_gemma":[0.9920075,0.002159456,0.000630576,0.0003446923,0.00397832,0.0008795485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000227168,0.00000848245,0.00004936766,0.00002885823,0.000001752582,0.00006016068,0.00001348952,0.000007731427,0.0001369998,0.0001425161,0.9973476,0.002180435],"study_design_scores_gemma":[0.00001696782,0.00003088731,0.000358545,0.00006992138,0.000005684386,0.00007959582,0.0001024497,0.00004083378,0.000589859,0.0003062242,0.9983802,0.00001886861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001074505,0.001281475,0.0012668,0.575215,0.3532215,0.0003571479,0.0036559,0.00196325,0.06196438],"genre_scores_gemma":[0.00687023,0.001949586,0.001316842,0.4874995,0.07143047,0.0003418082,0.002352414,0.001294467,0.4269446],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2623127,"threshold_uncertainty_score":0.8775234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364215196311539,"score_gpt":0.2235797305887837,"score_spread":0.2099375786256683,"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."}}