{"id":"W4383215201","doi":"10.1002/adfm.202304867","title":"Black Bioinks from Superstructured Carbonized Lignin Particles","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Research Council; Canada Excellence Research Chairs, Government of Canada; Academy of Finland; European Commission","keywords":"Materials science; Carbon black; Lignin; Cellulose; Carbonization; Nanofiber; Carbon nanofiber; Chemical engineering; Inkwell; Composite material; Polymer science; Organic chemistry; Scanning electron microscope; Carbon nanotube","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":[0.00007388961,0.0001546531,0.0001895231,0.00008474727,0.00005744076,0.00003453451,0.00009748759,0.0001170895,0.0001769135],"category_scores_gemma":[0.00005673995,0.0001472573,0.00003477664,0.000201525,0.00005782194,0.0000912861,0.00003383436,0.00008048496,0.0004545907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004261711,"about_ca_system_score_gemma":0.00001095822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001952633,"about_ca_topic_score_gemma":0.000003146863,"domain_scores_codex":[0.999164,0.00001658132,0.0002062914,0.0001998383,0.0001074273,0.0003058874],"domain_scores_gemma":[0.9996547,0.00007742923,0.00002229301,0.0001918986,0.00002005837,0.00003365416],"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":[0.00002344181,0.000002797447,0.00004310549,0.00001199186,0.00004118232,0.000005147495,0.00005497358,0.0008442774,0.9900957,0.0003224842,0.006118028,0.002436836],"study_design_scores_gemma":[0.0004000522,0.00002063324,0.002148747,0.00001612006,0.00001230293,0.000002129941,0.0001500219,0.00006787378,0.9869195,0.00769484,0.002398527,0.000169203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944234,0.0003891279,0.0002107753,0.0001817778,0.001194564,0.0001006379,0.0001169652,0.00326145,0.0001212984],"genre_scores_gemma":[0.9982002,0.000283973,0.0009202106,0.00004049921,0.000166004,0.00004087766,0.000190525,0.00003883092,0.0001188897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007372356,"threshold_uncertainty_score":0.6004978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009623658033680704,"score_gpt":0.193299837628696,"score_spread":0.1836761795950153,"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."}}