{"id":"W2487342882","doi":"10.1021/bk-2002-0812.ch011","title":"Self-Assembly of Ferrocene-Based Block Copolymers: A Route to Supramolecular Organometallic Materials","year":2002,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ferrocene; Copolymer; Materials science; Polymerization; Supramolecular chemistry; Ceramic; Polymer chemistry; Nanotechnology; Group 2 organometallic chemistry; Self-assembly; Polymer science; Organic chemistry; Chemistry; Polymer; Composite material; Electrochemistry; Physical chemistry; Electrode; Molecule","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005693802,0.0007747316,0.001044533,0.0001876804,0.0001199591,0.0001098703,0.0005107811,0.0006002354,0.002644286],"category_scores_gemma":[0.00001672438,0.000825607,0.0002120183,0.00008471523,0.00009369465,0.0002300789,0.0001585806,0.0001764289,0.0001470261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001338761,"about_ca_system_score_gemma":0.0001349575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000125637,"about_ca_topic_score_gemma":0.000004354284,"domain_scores_codex":[0.9974786,0.00001961629,0.0008721633,0.0007001812,0.0004853941,0.0004440515],"domain_scores_gemma":[0.9979267,0.00005430222,0.0006945006,0.0009456322,0.0001840317,0.0001948644],"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":[0.0001292249,0.00008142451,0.00001253144,0.0008594936,0.0002828332,0.00002980142,0.0002542711,0.00001024081,0.9938682,0.004203015,0.00007476656,0.0001942169],"study_design_scores_gemma":[0.0002677431,0.00009795243,0.000002499026,0.0003999235,0.0003299581,0.00002062959,0.00002144248,0.000002523081,0.9156355,0.00006658092,0.08241674,0.0007385529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3031549,0.004036085,0.0008422555,0.003778078,0.001923939,0.001890091,0.006072114,0.001945098,0.6763574],"genre_scores_gemma":[0.6856933,0.00123359,0.00125261,0.0004612612,0.0005616056,0.000118104,0.001127357,0.0005727031,0.3089795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3825383,"threshold_uncertainty_score":0.9994195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008737825164112943,"score_gpt":0.2000577548043392,"score_spread":0.1913199296402262,"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."}}