{"id":"W2047722355","doi":"10.1021/ma8012493","title":"Amorphous Diblock Copolymers with a High Organometallic Block Volume Fraction: Synthesis, Characterization and Self-Assembly of Polystyrene-<i>block</i>-Poly(ferrocenylethylmethylsilane) in the Bulk State","year":2008,"lang":"en","type":"article","venue":"Macromolecules","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Copolymer; Polystyrene; Amorphous solid; Volume fraction; Materials science; Polymer chemistry; Styrene; Polymerization; Characterization (materials science); Anionic addition polymerization; Polymer; Chemical engineering; Crystallography; Chemistry; Nanotechnology; Composite material","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":[0.0001037551,0.0002090419,0.00008779871,0.0002525031,0.0001105944,0.0001928155,0.00005650208,0.0001048934,0.0004041727],"category_scores_gemma":[0.0001243134,0.00009446243,0.0000569261,0.0001408769,0.0001251142,0.0001605221,0.00007953387,0.0001698995,0.0001630226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249804,"about_ca_system_score_gemma":0.0001024461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002252281,"about_ca_topic_score_gemma":0.0005558644,"domain_scores_codex":[0.9999363,0.000007807525,0.000004605812,0.00001587276,0.0000213344,0.00001402218],"domain_scores_gemma":[0.9999086,0.00002100047,0.00002558968,0.000009203469,0.00001249633,0.00002312914],"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":[0.000009452741,0.000005143421,0.00008070925,0.00000590448,4.828491e-7,0.00001020231,0.000005560998,0.00003553706,0.999358,0.00004385889,0.000003502815,0.0004416241],"study_design_scores_gemma":[0.00000420098,0.00007136189,0.001398791,0.000001565364,0.000003659781,0.00004344769,0.000005542074,0.0004307636,0.9974438,0.00002597537,0.0005697839,0.000001022458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994406,0.0004123388,0.00435254,0.00001404749,0.000004066415,0.00001425141,0.00007703822,0.0000400492,0.0006797335],"genre_scores_gemma":[0.9937595,0.000423067,0.004129236,0.000009275313,0.000005168445,0.00001761657,0.0002125948,0.00001857163,0.001424924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004041727,"threshold_uncertainty_score":0.001352131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006601244301996813,"score_gpt":0.1968778656741547,"score_spread":0.1902766213721579,"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."}}