{"id":"W2989397158","doi":"10.1021/acsapm.9b00832","title":"Green Toughness Modifier from Downstream Corn Oil in Improving Poly(lactic acid) Performance","year":2019,"lang":"en","type":"article","venue":"ACS Applied Polymer Materials","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Toughness; Materials science; Ultimate tensile strength; Izod impact strength test; Epoxidized soybean oil; Lactic acid; Composite material; Scanning electron microscope; Polymer; Elongation; Polylactic acid; Chemical engineering; Organic chemistry; Chemistry; Raw material","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006421659,0.0004957364,0.0007851109,0.000144743,0.0001958176,0.0003560005,0.0007425242,0.0003339518,0.007409011],"category_scores_gemma":[0.00001354143,0.0003990327,0.00005266415,0.0001953888,0.0001366639,0.0005009705,0.0003183227,0.0002096128,0.003446184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007366053,"about_ca_system_score_gemma":0.0001343817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01156589,"about_ca_topic_score_gemma":0.00008843341,"domain_scores_codex":[0.9968953,0.0001614075,0.0007737309,0.0008338839,0.0004845117,0.0008511246],"domain_scores_gemma":[0.9984414,0.0001433467,0.0003314719,0.0009222019,0.00003277375,0.0001288181],"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":[0.0004138797,0.00006397656,0.0003314863,0.0001529765,0.00001617879,0.000002873777,0.0007367519,1.336165e-7,0.9184977,0.0001813603,0.0000335193,0.07956911],"study_design_scores_gemma":[0.0007404405,0.00004637644,0.001258692,0.00009639463,0.00003669581,0.000004863361,0.0002470428,0.00001154971,0.9966049,0.0000349013,0.0003390937,0.0005790787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827215,0.01095723,0.000005155874,0.0002397721,0.001814704,0.0001903906,0.0002302547,0.0001485638,0.003692395],"genre_scores_gemma":[0.9959772,0.00008230341,0.0001560968,0.0005160609,0.0004346,0.0001749984,0.00003863797,0.00007873212,0.002541424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07899003,"threshold_uncertainty_score":0.9998462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131610656937726,"score_gpt":0.1989521433833165,"score_spread":0.1857910776895439,"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."}}