{"id":"W2013999490","doi":"10.1016/j.ces.2005.06.028","title":"Morphology control in symmetric polymer blends using spinodal decomposition","year":2005,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spinodal decomposition; Morphology (biology); Polymer blend; Materials science; Chemical engineering; Decomposition; Spinodal; Miscibility; Polymer; Polymer science; Polymer chemistry; Phase (matter); Chemistry; Composite material; Copolymer; Organic chemistry; Geology; Engineering","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":[0.000446108,0.0001815068,0.0002348142,0.0004630546,0.00007193926,0.00007859696,0.0006103386,0.00009450159,0.00007073437],"category_scores_gemma":[0.0001224654,0.0001877428,0.00004136494,0.001493408,0.0002032536,0.0004893715,0.0001192066,0.0001829769,0.00007555436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003676001,"about_ca_system_score_gemma":0.0001477696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004180882,"about_ca_topic_score_gemma":5.745927e-7,"domain_scores_codex":[0.9980598,0.00001338303,0.0003136055,0.0005085446,0.00038962,0.000715026],"domain_scores_gemma":[0.9993379,0.00008057206,0.00005899278,0.0002846627,0.000048982,0.000188853],"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":[0.000007027785,0.00003534032,0.0001491881,0.000007121326,0.000001046483,0.000007710093,0.00003555124,0.006203649,0.9924961,0.0005638554,0.000004861095,0.0004885328],"study_design_scores_gemma":[0.0003735045,0.00001333678,0.0003959299,0.00002088087,0.000006108949,0.00007928241,0.000003340805,0.1777918,0.8211139,0.000007331361,0.00001292697,0.0001815943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903389,0.0004309704,0.008258579,0.0001835705,0.0004075996,0.00008771858,0.000003250574,0.0001408559,0.0001486199],"genre_scores_gemma":[0.9906021,0.000001226824,0.009011495,0.0001829024,0.0001669138,0.00001036552,7.161039e-7,0.00001720231,0.000007039971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1715882,"threshold_uncertainty_score":0.765593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007114954650796776,"score_gpt":0.2446511919074526,"score_spread":0.2375362372566558,"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."}}