{"id":"W4396885647","doi":"10.15376/frc.2022.1.13","title":"Highly Carboxylated Pulps – A New Approach","year":2022,"lang":"en","type":"article","venue":"","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canfor Pulp Products (Canada); McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004909493,0.000608253,0.0004497705,0.0005833763,0.0004962242,0.001262554,0.001045332,0.0009545083,0.004060373],"category_scores_gemma":[0.0002610738,0.0003703281,0.0003538179,0.0003833554,0.000896662,0.002221769,0.00118545,0.002143476,0.002207119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004843019,"about_ca_system_score_gemma":0.000398173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002592717,"about_ca_topic_score_gemma":0.0004800613,"domain_scores_codex":[0.9996817,0.00003256059,0.00001718897,0.00008779496,0.0001347408,0.0000460378],"domain_scores_gemma":[0.9998679,0.00002280263,0.00001836638,0.00002670068,0.00003345562,0.0000306821],"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":[0.0001563427,0.0004039913,0.0002846733,0.001551087,0.00004311394,0.0005170422,0.0006103734,0.001275829,0.7433575,0.067548,0.005641189,0.1786108],"study_design_scores_gemma":[0.00002968873,0.0008945625,0.0004381678,0.0001058484,0.00003826313,0.0008954825,0.0001360199,0.001552859,0.5524815,0.01033918,0.4330127,0.00007579837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2158476,0.2723784,0.315658,0.008651495,0.005362816,0.0007575277,0.0006444843,0.001454534,0.1792452],"genre_scores_gemma":[0.5533333,0.2003889,0.145959,0.004665705,0.002177812,0.0005223379,0.0006486152,0.0005654183,0.09173869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004060373,"threshold_uncertainty_score":0.01358324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008584102694893406,"score_gpt":0.1714972519098521,"score_spread":0.1629131492149587,"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."}}