{"id":"W4407557600","doi":"10.1007/978-981-97-2664-6_4-1","title":"Alkali Lignin: Extraction","year":2025,"lang":"sv","type":"book-chapter","venue":"","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Lignin; Extraction (chemistry); Alkali metal; Chemistry; Pulp and paper industry; Organic chemistry; Engineering","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":[0.0001723883,0.0009156378,0.0005871785,0.001061853,0.0006088472,0.001340788,0.0007666372,0.0005758028,0.04301346],"category_scores_gemma":[0.0001774212,0.0004811248,0.0004013214,0.001706695,0.000439726,0.001732201,0.0009778109,0.00179275,0.05298876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004144281,"about_ca_system_score_gemma":0.000559525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007630555,"about_ca_topic_score_gemma":0.001679286,"domain_scores_codex":[0.9998494,0.000007366695,0.000005139256,0.00003198738,0.00009162969,0.00001442503],"domain_scores_gemma":[0.9999555,0.000009697793,0.000003714438,0.000009867342,0.00001523445,0.000005927237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008912555,0.000191578,0.0001393892,0.00143921,0.00002058914,0.0001783263,0.0002174697,0.0008689179,0.1272968,0.05253753,0.1087355,0.7082855],"study_design_scores_gemma":[0.000007041292,0.00004104438,0.000373488,0.0001021534,0.00001017218,0.0003097018,0.00004870316,0.0002917481,0.05839817,0.0109576,0.9294441,0.00001599548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008774743,0.05689677,0.07286898,0.001199778,0.001948676,0.0002594736,0.00176492,0.001796348,0.8544903],"genre_scores_gemma":[0.01769274,0.02559154,0.01038657,0.0006255167,0.0003769579,0.00009477046,0.001534438,0.0004469433,0.9432505],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04301346,"threshold_uncertainty_score":0.1438943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0096706604913528,"score_gpt":0.2240280203903906,"score_spread":0.2143573598990378,"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."}}