{"id":"W1990570780","doi":"10.1021/ma992135z","title":"Monte Carlo and Mean Field Study of Diblock Copolymer Micelles","year":2000,"lang":"en","type":"article","venue":"Macromolecules","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Monte Carlo method; Micelle; Copolymer; Mean field theory; Relaxation (psychology); Statistical physics; Degree of polymerization; Materials science; Theta solvent; Thermodynamics; Polymer; Physics; Solvent; Chemistry; Solvent effects; Physical chemistry; Polymerization; Condensed matter physics; Mathematics; Nuclear magnetic resonance; Organic chemistry; Aqueous solution; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000134101,0.0002028143,0.0003077305,0.00006900105,0.0001225526,0.00006619255,0.0003233908,0.0000706416,0.0008375345],"category_scores_gemma":[0.00001302925,0.0001844762,0.00004438757,0.000151006,0.00007862997,0.00008730996,0.0001191708,0.00008372959,0.00006932476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009587755,"about_ca_system_score_gemma":0.00002300123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002965776,"about_ca_topic_score_gemma":0.0007938924,"domain_scores_codex":[0.9985498,0.0001224674,0.0003270307,0.0004023895,0.0002952703,0.000303093],"domain_scores_gemma":[0.9992514,0.00009500695,0.00008419791,0.0004311334,0.00003863156,0.00009964443],"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":[0.0001365607,0.0005805532,0.003450277,0.00003875618,0.00004695643,0.00007702138,0.005361566,0.00002028327,0.9788902,0.00004313994,0.0009151576,0.01043948],"study_design_scores_gemma":[0.0009228699,0.0006190116,0.001307879,0.00002977753,0.00007089485,0.00002112894,0.001746466,0.0001412158,0.9944202,0.0000330727,0.0004166835,0.0002708577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951121,0.001767543,0.000007589807,0.0001463681,0.0001208396,0.0002566101,0.00001354651,0.00007745621,0.0024979],"genre_scores_gemma":[0.998792,0.00004224462,0.0002286593,0.0001675134,0.00003972392,0.00001916937,5.074474e-7,0.00002514684,0.0006850263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01552989,"threshold_uncertainty_score":0.9170415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007224198255572205,"score_gpt":0.2302774729837157,"score_spread":0.2230532747281435,"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."}}