{"id":"W2395125477","doi":"10.1007/s10853-016-0059-5","title":"Effect of thermal history on nucleation and crystallization of poly(lactic acid)","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Nucleation; Crystallization; Materials science; Exothermic reaction; Isothermal process; Spherulite (polymer physics); Recrystallization (geology); Atmospheric temperature range; Crystallography; Chemical engineering; Thermodynamics; Analytical Chemistry (journal); Chemistry; Chromatography","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":[0.002666591,0.00008777517,0.0002734264,0.0001453439,0.00005530032,0.00002933317,0.0002523531,0.00003593277,0.0004360533],"category_scores_gemma":[0.0003519564,0.0000438505,0.00003018942,0.00006760601,0.0005418782,0.0005726634,0.00003985044,0.00002049271,0.000005027079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007506598,"about_ca_system_score_gemma":0.0001146146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002270493,"about_ca_topic_score_gemma":4.047741e-7,"domain_scores_codex":[0.9986688,0.0002127968,0.0004301844,0.0001171674,0.000439301,0.0001316754],"domain_scores_gemma":[0.9987932,0.0001417106,0.0007329999,0.0001356272,0.0001435843,0.00005289639],"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":[0.0004775499,0.00002048316,0.00007864273,0.00006327171,0.000002396039,6.502883e-7,0.0001859524,1.64184e-7,0.9731458,0.0001430681,0.00002340277,0.02585861],"study_design_scores_gemma":[0.0002731485,0.001018102,0.00134851,0.0002457964,0.00001838074,0.00001412626,0.0000124746,0.000002654472,0.9968987,0.00002058713,0.00009250796,0.0000550476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929076,0.005745446,0.0001525514,0.0001224689,0.0008781748,0.00004245498,0.000006378455,0.000004552897,0.0001403997],"genre_scores_gemma":[0.9995117,0.00007213662,0.0002878089,0.00001763391,0.00007050435,8.184765e-7,4.311654e-8,0.000006122986,0.00003327822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02580356,"threshold_uncertainty_score":0.4774478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533849053565252,"score_gpt":0.2243212399800188,"score_spread":0.2089827494443663,"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."}}