{"id":"W2973577404","doi":"10.1126/sciadv.abm0548","title":"Shape and interaction decoupling for colloidal preassembly","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Studienstiftung des Deutschen Volkes; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Science Foundation","keywords":"Decoupling (probability); Mesoscale meteorology; Nanotechnology; Colloid; Computer science; Chemical physics; Biological system; Materials science; Physics; Biology; Engineering; Chemical 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":[0.0005665727,0.00004421841,0.00005324834,0.00005576577,0.0009399823,0.00008730811,0.0001482941,0.000005095834,0.0000912438],"category_scores_gemma":[0.0001411078,0.00004080822,0.0000105281,0.0002735743,0.000140882,0.0007918898,0.0001110695,0.00002740403,0.000002833545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005128872,"about_ca_system_score_gemma":0.00005303024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006249442,"about_ca_topic_score_gemma":0.000008561811,"domain_scores_codex":[0.9992802,0.00001151107,0.00009671386,0.0002410594,0.0001954002,0.0001751713],"domain_scores_gemma":[0.9996887,0.00007670661,0.00005288663,0.0000857219,0.00005098833,0.00004495792],"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":[0.00002525051,0.00001636203,0.0009961341,0.000007280351,2.248437e-7,1.634543e-7,0.0002577757,0.006860961,0.9766406,0.000343581,0.00001385361,0.01483782],"study_design_scores_gemma":[0.0004235925,0.0003849822,0.003889179,0.00001580494,0.000007653768,0.00002320457,0.002717707,0.1020227,0.8566169,0.002764022,0.03089952,0.0002348223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970139,0.0001817047,0.001804414,0.0000910107,0.0005728527,0.0001574544,0.000009980888,0.00003745094,0.0001311961],"genre_scores_gemma":[0.9968138,0.000005111245,0.002945723,0.00004237849,0.0000236751,0.0000931074,9.814593e-7,0.000003470567,0.0000717512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1200238,"threshold_uncertainty_score":0.7229679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164915569569541,"score_gpt":0.3232848488858284,"score_spread":0.3016356931901329,"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."}}