{"id":"W4407738911","doi":"10.1039/d4gc06179a","title":"3D printable lignin-caprolactone material","year":2025,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Business Finland; Northern Ontario Heritage Fund Corporation","keywords":"Lignin; Caprolactone; Chemistry; Chemical engineering; Organic chemistry; Polymer; Copolymer","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":[0.0001238639,0.000377529,0.0001614134,0.0004198347,0.000152978,0.0004526001,0.0003549475,0.0005212456,0.003858738],"category_scores_gemma":[0.0001482651,0.000218158,0.0004070551,0.0002283042,0.000148277,0.0002529633,0.0002609757,0.0005632594,0.00172703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003490592,"about_ca_system_score_gemma":0.0001757602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001828062,"about_ca_topic_score_gemma":0.0004062678,"domain_scores_codex":[0.9998893,0.000006390748,0.00000579922,0.00002643476,0.00004491406,0.0000271543],"domain_scores_gemma":[0.9999274,0.00001182766,0.00001632087,0.00001110463,0.00001296469,0.00002029699],"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":[0.00002266026,0.00002840499,0.00005175966,0.00007285213,0.000008275553,0.0002247197,0.00001752197,0.001184378,0.9909706,0.0006606006,0.0002666412,0.006491494],"study_design_scores_gemma":[0.000007433466,0.00007389351,0.0003861447,0.000003996604,0.000006317382,0.0001544839,0.000006030561,0.001652122,0.9900775,0.0001281899,0.007491328,0.0000125405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565143,0.002528427,0.09745377,0.0004425479,0.0004530506,0.000138442,0.003483828,0.004093506,0.03489205],"genre_scores_gemma":[0.9455895,0.000811626,0.0365569,0.0002152848,0.00004028585,0.0001084072,0.00151359,0.0001932235,0.01497116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003858738,"threshold_uncertainty_score":0.01290882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005548448810278103,"score_gpt":0.1976287410156295,"score_spread":0.1920802922053514,"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."}}