{"id":"W2971295269","doi":"10.3390/chemengineering3030075","title":"Using the Cahn–Hilliard Theory in Metastable Binary Solutions","year":2019,"lang":"en","type":"article","venue":"ChemEngineering","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Spinodal decomposition; Spinodal; Metastability; Cahn–Hilliard equation; Nucleation; Binary number; Thermodynamics; Phase (matter); Materials science; Classical nucleation theory; Chemical physics; Statistical physics; Chemistry; Physics; Mathematics; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006484929,0.0001373939,0.0001639948,0.00008099165,0.0000904941,0.00004987547,0.0002976412,0.00004451112,0.0003447003],"category_scores_gemma":[0.00002442419,0.0001100192,0.00004247174,0.0003012113,0.00002499284,0.0002226789,0.0001726098,0.0001336118,0.0001563287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032853,"about_ca_system_score_gemma":0.00004963384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006633527,"about_ca_topic_score_gemma":0.000007653843,"domain_scores_codex":[0.9989544,0.00003923912,0.000188195,0.0002181813,0.0001588582,0.0004411861],"domain_scores_gemma":[0.9994194,0.00008645191,0.00003835752,0.0003927775,0.00002085687,0.00004215856],"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":[0.000003960047,0.00001527594,0.0001236492,0.00002418028,0.000007810745,0.000002873434,0.0002545546,0.02611116,0.9705208,0.002827504,0.00002577173,0.00008246633],"study_design_scores_gemma":[0.0003776224,0.00001868244,0.0004349614,0.00007003311,0.00002814713,0.00001575128,0.0005445543,0.06499201,0.9308252,0.0002690961,0.002121655,0.0003022768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888981,0.00173294,0.007083202,0.00008589706,0.0006416973,0.0001980414,0.000004198084,0.0001158157,0.001240114],"genre_scores_gemma":[0.9971355,0.00000848784,0.002473346,0.00004416685,0.00005804163,0.0000183307,0.000001315624,0.00002657475,0.0002341946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03969558,"threshold_uncertainty_score":0.4486454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449778071313522,"score_gpt":0.2431954439728807,"score_spread":0.2186976632597455,"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."}}