{"id":"W2136226572","doi":"10.1002/aic.14495","title":"High performance materials based on a self‐assembled multiple‐percolated ternary blend","year":2014,"lang":"en","type":"article","venue":"AIChE Journal","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crystallinity; Ternary operation; Materials science; Differential scanning calorimetry; Polylactic acid; Polybutylene succinate; Ternary numeral system; Adipate; Chemical engineering; Modulus; Polybutylene terephthalate; Composite material; Polymer; Polyester; Thermodynamics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001484136,0.0002711178,0.0003774269,0.0001238041,0.0005022476,0.0003458365,0.0004659381,0.0001401487,0.00160191],"category_scores_gemma":[0.0001024196,0.0001826112,0.00007293166,0.0001021215,0.00003209648,0.0003547442,0.0000530543,0.000242325,0.0004704799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006427875,"about_ca_system_score_gemma":0.00009235006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001580461,"about_ca_topic_score_gemma":0.000006514,"domain_scores_codex":[0.9978341,0.0004293101,0.0005045712,0.0002859888,0.0004464088,0.0004996463],"domain_scores_gemma":[0.9989051,0.0001955262,0.0002642185,0.0003639834,0.00009349057,0.0001777464],"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":[0.0003611563,0.0001301047,0.001328586,0.00004163217,0.00001746599,0.000008876953,0.0001208723,0.0001093851,0.9918137,0.00001745733,0.000745828,0.005304907],"study_design_scores_gemma":[0.0009050099,0.0004450674,0.004577156,0.0001765644,0.00003824711,0.0000799939,0.00001772797,0.01186153,0.9792194,0.00002631954,0.00237233,0.0002806154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965784,0.0002917823,0.0002930844,0.0007238854,0.001356119,0.0001030425,0.000008926044,0.0001267004,0.0005180766],"genre_scores_gemma":[0.9941698,0.0000755906,0.004076732,0.0008864197,0.0005545867,0.00001488602,0.000001994227,0.00003787252,0.0001820694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01259429,"threshold_uncertainty_score":0.9993107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131553368572145,"score_gpt":0.2031991297575406,"score_spread":0.1900437929003261,"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."}}