{"id":"W2899650370","doi":"10.1007/s10311-018-0810-z","title":"Moisture absorbers for food packaging applications","year":2018,"lang":"en","type":"article","venue":"Environmental Chemistry Letters","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":226,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Moisture; Environmental science; Food packaging; Food quality; Water content; Food products; Process engineering; Waste management; Pulp and paper industry; Food science; Materials science; Composite material; Engineering; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00008455284,0.0001425051,0.0001091095,0.000009582468,0.0002962366,0.00002601867,0.000226108,0.00003533064,0.0003969116],"category_scores_gemma":[0.00001235098,0.0001405118,0.00005592877,0.00003726896,0.0005213702,0.00008835705,0.0001219844,0.00007902263,0.0001918407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732513,"about_ca_system_score_gemma":0.000005414973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.819843e-7,"about_ca_topic_score_gemma":6.183524e-7,"domain_scores_codex":[0.9989283,0.00000796003,0.0001302357,0.0003614852,0.0002114043,0.0003605869],"domain_scores_gemma":[0.9995163,0.00005259136,0.00005752232,0.0002826447,0.000004463079,0.00008646947],"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":[0.00001048072,0.00002649869,0.0001983991,0.00003337666,0.00001196948,8.32723e-7,0.0000836923,0.00001863324,0.9980601,0.000005116714,0.001202187,0.0003487237],"study_design_scores_gemma":[0.0002474442,0.00001894861,0.0002151511,0.000006024505,0.000008873413,0.00000386601,0.0001985394,0.00001387097,0.9622471,0.0001167735,0.03676356,0.0001597991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767074,0.0001637495,0.02018931,0.001213625,0.00005348681,0.0004060308,0.0002107278,0.00007805439,0.0009776398],"genre_scores_gemma":[0.9932044,0.00001375211,0.005097908,0.0003932242,0.0004953108,0.0003883757,0.00004554721,0.00002522904,0.00033627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03581294,"threshold_uncertainty_score":0.5729905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009094933611736866,"score_gpt":0.2389998965344422,"score_spread":0.2299049629227053,"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."}}