{"id":"W2057148528","doi":"10.4028/www.scientific.net/amm.440.19","title":"Preparation and Characterization of Poly(lactic acid) with Different Molecular Weights by Thermal Hydrolysis","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"China Scholarship Council; Northwestern Polytechnical University; Northwestern University","keywords":"Hydrolysis; Distilled water; Glass transition; Polymer chemistry; Lactic acid; Materials science; Chemical engineering; Melting point; Hydrolytic degradation; Boiling point; Chemistry; Organic chemistry; Polymer; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002312164,0.0004706297,0.000233466,0.0005016386,0.0001425589,0.0002706997,0.0001407814,0.0002823512,0.0007368578],"category_scores_gemma":[0.0003623719,0.000214517,0.0003302758,0.0005475268,0.0001847439,0.0004846913,0.000149797,0.0004581164,0.0002995098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037965,"about_ca_system_score_gemma":0.0001099294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002089534,"about_ca_topic_score_gemma":0.0003051152,"domain_scores_codex":[0.9997769,0.0000272896,0.00002555049,0.00004068335,0.00009413734,0.00003541844],"domain_scores_gemma":[0.9998046,0.00002975396,0.00007066103,0.00001701905,0.00005019274,0.00002778844],"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":[0.00001617463,0.000005741876,0.00005428246,0.000024609,0.000001867833,0.000022054,0.00001234827,0.00007936695,0.998257,0.00002917693,0.000006252173,0.001491116],"study_design_scores_gemma":[0.000003582317,0.0001087247,0.0008698502,0.000003786836,0.0000090583,0.00006586129,0.00001400247,0.0006319219,0.9971342,0.0000239729,0.001128457,0.000006561607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105272,0.004349082,0.0805756,0.00008807508,0.00006283406,0.0001935274,0.0003868487,0.0001885996,0.003628202],"genre_scores_gemma":[0.9602078,0.002148165,0.03378608,0.00008725023,0.00002746752,0.0002085968,0.0005157563,0.00007652902,0.002942329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007368578,"threshold_uncertainty_score":0.002465069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00578324024872237,"score_gpt":0.181378395995165,"score_spread":0.1755951557464426,"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."}}