{"id":"W2037443150","doi":"10.1002/jctb.1939","title":"Enzyme‐based approaches for pitch control in thermomechanical pulping of softwood and pitch removal in process water","year":2008,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Institut national de la recherche scientifique","keywords":"Pulp (tooth); Pulp and paper industry; Softwood; Laccase; Lipase; Chemistry; Materials science; Composite material; Organic chemistry; Enzyme; Dentistry; Engineering","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005403435,0.0001980329,0.0006527662,0.0003123492,0.00003878906,0.000005312112,0.0005087074,0.001356547,0.000008496255],"category_scores_gemma":[0.0005302919,0.00008752572,0.00009888522,0.0007363631,0.0004902005,0.0001016598,0.00007265461,0.0008127019,6.98197e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005871322,"about_ca_system_score_gemma":0.00003021756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001022764,"about_ca_topic_score_gemma":0.00002848851,"domain_scores_codex":[0.9981843,0.00004380952,0.0008235443,0.0003222623,0.0001829239,0.0004431086],"domain_scores_gemma":[0.9991373,0.0002435263,0.0003515686,0.00009673548,0.0001213194,0.00004955349],"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":[0.000251572,0.0002754292,0.004020779,0.00002387243,0.0000187414,0.0000470697,0.00003581958,0.000008153012,0.9713469,0.0004869078,0.00001125747,0.02347354],"study_design_scores_gemma":[0.001886642,0.0006094113,0.0008418331,0.00006927674,0.00001829062,0.0005111057,0.0002276439,0.001229383,0.9845009,0.009761401,0.0001720128,0.000172098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831609,0.0004732598,0.0004344815,0.0154945,0.00004012262,0.0003165565,0.000007277017,0.00006632411,0.000006647741],"genre_scores_gemma":[0.9980772,0.00007973971,0.001653474,0.00009860587,0.00004624453,0.0000305947,0.000008686638,0.000003686332,0.000001832142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02330144,"threshold_uncertainty_score":0.9999399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458163696259852,"score_gpt":0.2207064772409334,"score_spread":0.1961248402783349,"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."}}