{"id":"W2514511112","doi":"10.1021/acs.macromol.6b01437","title":"Critical Point of Symmetric Binary Homopolymer Blends","year":2016,"lang":"en","type":"article","venue":"Macromolecules","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Division of Chemistry","keywords":"Critical point (mathematics); Binary number; Monte Carlo method; Flory–Huggins solution theory; Polymer blend; Cutoff; Physics; Renormalization group; Thermodynamics; Polymerization; Divergence (linguistics); Statistical physics; Invariant (physics); Renormalization; Polymer; Mathematics; Mathematical physics; Copolymer; Quantum mechanics; Mathematical analysis; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002334637,0.0002567111,0.0003390166,0.0009132565,0.0005966474,0.0007637678,0.0003361084,0.0003619154,0.002146106],"category_scores_gemma":[0.0009071637,0.0001889503,0.0002058621,0.0003565146,0.0008724881,0.0005477496,0.0003108899,0.0004310125,0.0001115228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075289,"about_ca_system_score_gemma":0.000451061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316948,"about_ca_topic_score_gemma":0.001722036,"domain_scores_codex":[0.999895,0.0000111197,0.000005258646,0.00001470159,0.00003881547,0.00003505405],"domain_scores_gemma":[0.9997867,0.00007786983,0.00003680528,0.00001341556,0.00003375259,0.00005150073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001173316,0.0006925197,0.00977405,0.0003235315,0.0001347651,0.0007123081,0.0004182303,0.4899572,0.3975322,0.08663124,0.001359184,0.01129149],"study_design_scores_gemma":[0.00007009011,0.0001673558,0.003325688,0.00002049492,0.00002354238,0.00005344265,0.00007433206,0.9437425,0.0470464,0.004966087,0.0004856892,0.00002447586],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975697,0.0000775932,0.0007139881,0.00003192592,0.000006691143,0.000006716243,0.00003574926,0.00002573882,0.001531783],"genre_scores_gemma":[0.9990726,0.00004102398,0.0006006967,0.000007344478,0.000002051784,0.000007707619,0.00005617398,0.00001238461,0.0002001359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002316948,"threshold_uncertainty_score":0.007801771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009665329483198622,"score_gpt":0.2522714554773715,"score_spread":0.2426061259941728,"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."}}