{"id":"W2775370344","doi":"10.1103/physrevlett.120.078003","title":"Crystal-to-Crystal Transition of Ultrasoft Colloids under Shear","year":2018,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"H2020 Marie Skłodowska-Curie Actions; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; H2020 European Research Council; General Secretariat for Research and Technology","keywords":"Materials science; Crystallization; Colloidal crystal; Crystal (programming language); Shear (geology); Colloid; Rheology; Glass transition; Shear rate; Crystal structure; Chemical physics; Crystallography; Thermodynamics; Polymer; Composite material; Physics; Chemistry; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008356534,0.0001104156,0.0001471827,0.0001647921,0.0003000134,0.0004517079,0.0001718368,0.0001663527,0.0007762035],"category_scores_gemma":[0.0002541319,0.0001507453,0.000138082,0.00009475456,0.0004517294,0.0002966334,0.0002245388,0.0003741261,0.0001110555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004179998,"about_ca_system_score_gemma":0.0003366581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002218651,"about_ca_topic_score_gemma":0.001905274,"domain_scores_codex":[0.9999504,0.000003590421,0.00000253154,0.00001318552,0.00001603777,0.00001417712],"domain_scores_gemma":[0.9999119,0.00002838795,0.00001843092,0.000007895614,0.00001521995,0.00001808603],"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":[0.00009347103,0.00003367875,0.001180502,0.00005007684,0.00001544467,0.0001736789,0.000208637,0.00556624,0.986199,0.003868433,0.0001974318,0.002413458],"study_design_scores_gemma":[0.00005159147,0.0001708054,0.006281296,0.000009204049,0.00001616677,0.00010914,0.000156335,0.1038197,0.8845547,0.003523982,0.001277455,0.00002978005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970767,0.0001024208,0.001986384,0.00003236104,0.000009386837,0.000006614505,0.00002880857,0.00003120827,0.0007261084],"genre_scores_gemma":[0.9987789,0.00008452904,0.0006558768,0.00001271621,0.000003161716,0.000005631329,0.00004008183,0.00001305276,0.0004060049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002218651,"threshold_uncertainty_score":0.004411519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897430749735137,"score_gpt":0.2963616327524323,"score_spread":0.277387325255081,"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."}}