{"id":"W4392862230","doi":"10.3390/polym16060814","title":"Effect of Iron Chloride Addition on Softwood Lignin Nano-Fiber Stabilization and Carbonization","year":2024,"lang":"en","type":"article","venue":"Polymers","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Organosolv; Lignin; Carbonization; Softwood; Materials science; Electrospinning; Chemical engineering; Nanofiber; Chloride; Fiber; Composite material; Chemistry; Organic chemistry; Polymer; Scanning electron microscope","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":[],"consensus_categories":[],"category_scores_codex":[0.00005849421,0.00009985374,0.00008866008,0.00005166604,0.00001555302,0.00001833712,0.00002661568,0.00006427201,0.00004708644],"category_scores_gemma":[0.00001206501,0.00009348795,0.00002495854,0.0001282131,0.00001927526,0.00006859897,0.000006899696,0.00005305092,0.00001301146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003476837,"about_ca_system_score_gemma":0.000006859479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005841157,"about_ca_topic_score_gemma":5.122287e-7,"domain_scores_codex":[0.999576,0.00001167268,0.000102758,0.0001166324,0.00009620217,0.00009672657],"domain_scores_gemma":[0.9997866,0.00008050093,0.00001150265,0.00008048298,0.000006424636,0.00003448883],"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":[0.00003081773,0.00002263623,0.0004681849,0.003269166,0.0000959176,0.00000485795,0.0008199456,0.002114778,0.9561984,0.0002548611,0.005829209,0.03089125],"study_design_scores_gemma":[0.0001416927,0.00008289042,0.00002365955,0.0001233827,0.00003255819,0.000001475996,0.00001131294,0.002921376,0.9962218,0.00000979141,0.0003402312,0.00008983577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885177,0.00107181,0.00004708408,0.00002133042,0.0003376542,0.0001024197,0.00003056615,0.0002885674,0.009582892],"genre_scores_gemma":[0.9994688,0.00008789595,0.000009861896,0.000005915157,0.00009497842,0.00001213684,0.00007678507,0.00002830622,0.0002153083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04002342,"threshold_uncertainty_score":0.3812328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00219557472562306,"score_gpt":0.1916952527059533,"score_spread":0.1894996779803302,"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."}}