{"id":"W2086158031","doi":"10.1016/j.orggeochem.2010.02.007","title":"Rapid screening of hardwood and softwood lignin using low temperature thermochemolysis with a GC injection port","year":2010,"lang":"en","type":"article","venue":"Organic Geochemistry","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Softwood; Hardwood; Lignin; Tetramethylammonium hydroxide; Chemistry; Chromatography; Mass spectrometry; Pulp and paper industry; Organic chemistry; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004275249,0.0008517174,0.000490896,0.0007881228,0.000400308,0.0003605144,0.000535561,0.0005522878,0.002506494],"category_scores_gemma":[0.0005283222,0.0003669184,0.0003784614,0.0004424846,0.0003027609,0.0004963396,0.0003798735,0.0007465773,0.00136913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000280317,"about_ca_system_score_gemma":0.0004639492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009051822,"about_ca_topic_score_gemma":0.002464572,"domain_scores_codex":[0.9996276,0.0000448483,0.00001432202,0.0000786284,0.0001629255,0.00007174171],"domain_scores_gemma":[0.9996918,0.0001397809,0.00002276494,0.00002438433,0.00008265027,0.00003856059],"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":[0.00005243154,0.00002128968,0.0001867849,0.00001763827,0.000003462545,0.00001733232,0.000008234613,0.00003591689,0.9963015,0.00003100889,0.00006541367,0.003258947],"study_design_scores_gemma":[0.000005151529,0.00007158137,0.0008885109,0.000001930814,0.000006072799,0.00003863035,0.000008974142,0.0006619882,0.9978291,0.00003290346,0.000451037,0.000004050783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6841006,0.002021382,0.3003975,0.0003098513,0.0001370712,0.0007792956,0.002664697,0.003257184,0.006332485],"genre_scores_gemma":[0.8350941,0.00155027,0.1425662,0.0005221145,0.00005072482,0.0006977594,0.003401605,0.0004763677,0.01564079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002506494,"threshold_uncertainty_score":0.008385062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003246123308998902,"score_gpt":0.1660209313991997,"score_spread":0.1627748080902008,"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."}}