{"id":"W2618672522","doi":"10.1016/j.orggeochem.2017.04.012","title":"A solid phase extraction method for isolating HF-extractable soil organic matter for NMR analysis","year":2017,"lang":"en","type":"article","venue":"Organic Geochemistry","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Demineralization; Solid phase extraction; Magic angle spinning; Soil carbon; Extraction (chemistry); Soil water; Soil test; Fraction (chemistry); Carbon-13 NMR; Environmental chemistry; Analytical Chemistry (journal); Nuclear magnetic resonance spectroscopy; Chromatography; Soil science; Geology; Materials science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002145688,0.0002100452,0.0003144268,0.00003278086,0.0009902184,0.0002623679,0.0003457107,0.00009223697,0.006131222],"category_scores_gemma":[0.00003582801,0.0002256599,0.000280539,0.0001238576,0.00002841847,0.000209949,0.00005690162,0.0001690883,0.00005718578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004267352,"about_ca_system_score_gemma":0.00009197206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008228014,"about_ca_topic_score_gemma":0.0000182047,"domain_scores_codex":[0.9987624,0.000008712495,0.0002983116,0.0004540737,0.00008950548,0.0003870196],"domain_scores_gemma":[0.9984194,0.0001216224,0.000446054,0.0007876443,0.000123551,0.0001017453],"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":[0.00002206479,0.000250327,0.003624531,0.0000363492,0.0003934328,1.409565e-7,0.00004067139,0.0000155412,0.9920543,0.0001888662,0.002098437,0.00127528],"study_design_scores_gemma":[0.001110578,0.00002089564,0.0003831458,0.00001050402,0.0008753262,0.000001831255,0.0001802756,0.0127483,0.9774428,0.00476893,0.002183352,0.0002740606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1957725,0.00001355747,0.7991961,0.0006832622,0.00004894631,0.0003052327,0.0002305218,0.00003480696,0.003715071],"genre_scores_gemma":[0.9705036,8.423813e-7,0.02438924,0.00003774775,0.0007033638,0.0002784171,0.0003636378,0.00004021889,0.003682901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7748069,"threshold_uncertainty_score":0.9947773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182760238007954,"score_gpt":0.4004585559959555,"score_spread":0.388630953615876,"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."}}