{"id":"W1975208903","doi":"10.1002/app.42189","title":"Hydrolytic degradation of biodegradable polyesters under simulated environmental conditions","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Crystallinity; Materials science; Differential scanning calorimetry; Ultimate tensile strength; Polyester; Polymer; Scanning electron microscope; Dynamic mechanical analysis; Fourier transform infrared spectroscopy; Relative humidity; Crystallization; Composite material; Chemical engineering; Polymer chemistry","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":[0.00107642,0.0001810231,0.0003392833,0.0003302113,0.0002182591,0.0001082752,0.0006953887,0.00006750213,0.0002041795],"category_scores_gemma":[0.0000157481,0.0001322481,0.00008452907,0.0004663116,0.001127732,0.0007251141,0.00009621572,0.0001295387,0.00005632531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255143,"about_ca_system_score_gemma":0.0005000349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000874437,"about_ca_topic_score_gemma":0.000002089238,"domain_scores_codex":[0.9976371,0.0000426101,0.0006751179,0.0002434583,0.001029272,0.0003724612],"domain_scores_gemma":[0.9985698,0.00007802262,0.0006459905,0.0003021497,0.00008387441,0.0003201646],"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":[0.00012732,0.0001198879,0.000166855,0.000005657782,0.00001263394,0.000002060922,0.0004508768,0.0001266587,0.9955369,0.0009008195,0.0001230863,0.002427227],"study_design_scores_gemma":[0.0005122857,0.0001692685,0.0002567847,0.00002737749,0.00004837747,0.00004774603,0.001134035,0.0006012613,0.9965304,0.0004040644,0.0001037749,0.0001646534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904418,0.0069796,0.0002108522,0.0003112722,0.0004793129,0.0000778182,0.00002358693,0.00001634847,0.001459398],"genre_scores_gemma":[0.9988797,0.00002288087,0.0006236099,0.0001940503,0.00005005595,0.000001636272,0.000001752054,0.00001318153,0.0002130947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008437928,"threshold_uncertainty_score":0.539292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703504967010198,"score_gpt":0.2405622150040004,"score_spread":0.2135271653338985,"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."}}