{"id":"W2379820252","doi":"","title":"The comparison between deinked pulp of mixed office waste paper and hard wood chemical pulps and BCTMP","year":2002,"lang":"en","type":"article","venue":"China Pulp & Paper Industry","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pulp (tooth); Hardwood; Pulp and paper industry; Papermaking; Chemistry; Waste management; Engineering; Botany; Dentistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002738668,0.0002553962,0.0001819243,0.0006596319,0.0002086999,0.0004410731,0.000154467,0.0002481191,0.002219432],"category_scores_gemma":[0.0007842063,0.0001409809,0.0001853201,0.000690738,0.0001603671,0.0006413797,0.0001853545,0.0003172474,0.0002193226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495556,"about_ca_system_score_gemma":0.0001826642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146596,"about_ca_topic_score_gemma":0.002235593,"domain_scores_codex":[0.9997521,0.00003043333,0.00002394257,0.00004633202,0.0001068735,0.00004021497],"domain_scores_gemma":[0.9992158,0.0003134066,0.0001091532,0.00004559037,0.000201177,0.0001147901],"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":[0.001466717,0.0001123437,0.008920399,0.0003626165,0.00006230977,0.0003612551,0.0001590765,0.000476968,0.968922,0.0001427752,0.0000455708,0.01896799],"study_design_scores_gemma":[0.0000161274,0.001504757,0.1279157,0.00002215173,0.00009465527,0.0006612977,0.0003935925,0.0007689074,0.8664348,0.0001139832,0.002049198,0.00002495434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970493,0.0006807583,0.0004873279,0.00000522,0.000008319046,0.000006910412,0.0001138844,0.000006778621,0.001641365],"genre_scores_gemma":[0.9956568,0.000412935,0.001028991,0.00001286167,0.0000042035,0.00000798124,0.0002868781,0.00001077605,0.002578685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002219432,"threshold_uncertainty_score":0.007424772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887432471635806,"score_gpt":0.2149248643705291,"score_spread":0.196050539654171,"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."}}