{"id":"W2888408189","doi":"10.1515/npprj-2018-0013","title":"Wet-peel: a tool for comparing wet-strength resins","year":2018,"lang":"en","type":"article","venue":"Nordic Pulp & Paper Research Journal","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Wet strength; Materials science; Composite material; Polymer; Pulp (tooth); Cellulose; Cellulose fiber; Fiber; Delamination (geology); Ultimate tensile strength; Chemical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007998279,0.0003178349,0.0005540747,0.000490338,0.003179297,0.0007647414,0.001351581,0.0001252261,0.001878448],"category_scores_gemma":[0.004038891,0.0002524533,0.0002053324,0.0006977246,0.001543384,0.001004312,0.0008268351,0.001395531,0.0009799778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000556992,"about_ca_system_score_gemma":0.0007347196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000675109,"about_ca_topic_score_gemma":0.0002325931,"domain_scores_codex":[0.9926786,0.0007749444,0.0007228997,0.0006992295,0.002623054,0.002501228],"domain_scores_gemma":[0.995285,0.001218707,0.0001841203,0.0006950055,0.001967241,0.0006499509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0012399,0.0003377287,0.003067815,0.0001488843,0.0001207522,0.000226089,0.001106363,0.00003237632,0.9120947,0.002198563,0.05086688,0.02855993],"study_design_scores_gemma":[0.005602332,0.00316186,0.008011702,0.0007142387,0.0000499948,0.0006309825,0.002496755,0.001480165,0.1744504,0.02529847,0.7769758,0.001127332],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611677,0.002489559,0.007708726,0.004113642,0.001141414,0.001472633,0.0000812908,0.0001884453,0.02163659],"genre_scores_gemma":[0.9802684,0.0008199996,0.01027308,0.0001339676,0.003499243,0.000174067,0.000006845741,0.00008035293,0.004744085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7376444,"threshold_uncertainty_score":0.9999928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022452344147666,"score_gpt":0.4144939235894908,"score_spread":0.3122486891747241,"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."}}