{"id":"W2909086526","doi":"10.1002/pen.25052","title":"Crystalline nanocellulose/thermoplastic polyester composites prepared by <i>in situ</i> polymerization","year":2019,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Materials science; In situ polymerization; Composite material; Polymerization; Nanocellulose; Ultimate tensile strength; Thermoplastic; Polymer; Condensation polymer; Polyester; Chemical engineering; Polymer chemistry; Cellulose","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":[],"consensus_categories":[],"category_scores_codex":[0.0002959741,0.0001814716,0.0002099057,0.0001777213,0.0001166696,0.0001208711,0.0002810585,0.00003470984,0.0000502776],"category_scores_gemma":[0.00006146582,0.0001623581,0.00001972128,0.0005274995,0.0002510971,0.0004723804,0.000176968,0.00009724551,0.00004329222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005478559,"about_ca_system_score_gemma":0.00004855158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003275696,"about_ca_topic_score_gemma":0.000002865602,"domain_scores_codex":[0.9982556,0.00001968173,0.0002200121,0.0004896484,0.0004327263,0.0005823508],"domain_scores_gemma":[0.9994049,0.000133537,0.0000479707,0.0002303599,0.00003411914,0.0001491245],"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":[0.00001205203,0.00002367066,0.001166985,0.00003658319,0.000001822961,0.000002670509,0.0002181024,0.001421456,0.9967121,0.000168396,0.000009487155,0.0002266184],"study_design_scores_gemma":[0.0002896565,0.0000593642,0.001032644,0.00005775506,0.000003136273,0.000008181469,0.00004524955,0.0172139,0.9809127,0.00000963097,0.0001500047,0.0002177446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910766,0.003502869,0.004265211,0.00008996061,0.0002263939,0.0001716312,0.00000994476,0.00009595112,0.0005614316],"genre_scores_gemma":[0.9985722,0.00006604441,0.0005028707,0.00003779629,0.00002397062,0.00001396428,0.000003944416,0.00001759567,0.0007615659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01579943,"threshold_uncertainty_score":0.6620772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004632681402780341,"score_gpt":0.2162512650917048,"score_spread":0.2116185836889245,"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."}}