{"id":"W4396573819","doi":"10.1021/acs.macromol.4c00196","title":"Efficient Modeling of High-Generation Dendrimers in Solution Using Dynamical Self-Consistent Field Theory","year":2024,"lang":"en","type":"article","venue":"Macromolecules","topic":"Dendrimers and Hyperbranched Polymers","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dendrimer; Self consistent; Field (mathematics); Field theory (psychology); Statistical physics; Materials science; Chemistry; Chemical physics; Physics; Polymer chemistry; Quantum electrodynamics; Mathematics; Mathematical physics","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":[0.0003544302,0.0001170338,0.0001659305,0.0001406792,0.00005703281,0.0000618359,0.0001005565,0.00007840537,0.00009546403],"category_scores_gemma":[0.00002072081,0.0001090043,0.00007184041,0.0001556787,0.00004243372,0.00004622093,0.00005184924,0.00008800611,0.00002067141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008336562,"about_ca_system_score_gemma":0.00007111377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005203746,"about_ca_topic_score_gemma":0.00007309957,"domain_scores_codex":[0.9989049,0.0001075657,0.000284294,0.0002824825,0.0001928297,0.0002279035],"domain_scores_gemma":[0.9997057,0.00004819688,0.00003601958,0.0001448872,0.00002477075,0.00004040548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001903965,0.00004865821,0.00001375019,0.00004791616,0.00001237641,0.00002549759,0.0004816655,0.08868166,0.9031212,0.00674989,0.000007571751,0.0007907409],"study_design_scores_gemma":[0.000104643,0.00002330501,0.000006249043,0.0000733787,0.0000319703,0.00001214804,0.00006642225,0.6975617,0.3018138,0.0002088008,0.000004448289,0.0000930379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9278778,0.00168563,0.06920882,0.00007615426,0.0007162208,0.000098371,0.00001077909,0.00005977763,0.0002664557],"genre_scores_gemma":[0.995043,0.00000838613,0.004809798,0.00004261256,0.00005350497,0.000005365548,0.000007337307,0.00001620038,0.00001381968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6088801,"threshold_uncertainty_score":0.4445065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780195692772493,"score_gpt":0.2539438192826554,"score_spread":0.2361418623549305,"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."}}