{"id":"W2061384416","doi":"10.1021/ja075587x","title":"Cylindrical Block Co-Micelles with Spatially Selective Functionalization by Nanoparticles","year":2007,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Micelle; Copolymer; Nanomaterials; Surface modification; Supramolecular chemistry; Nanoparticle; Polymerization; Block (permutation group theory); Polar; Nanotechnology; Chemical engineering; Polymer chemistry; Organic chemistry; Molecule; Polymer; Materials science; Physical chemistry","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":[0.0001643949,0.0004239142,0.0001950546,0.0001382368,0.0001228558,0.0002644755,0.0002437561,0.0003981463,0.0006456613],"category_scores_gemma":[0.0001887848,0.0002075567,0.0001689499,0.00008347374,0.0001816611,0.0003416323,0.0002985892,0.0003721802,0.000543305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001935082,"about_ca_system_score_gemma":0.0001632504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002684375,"about_ca_topic_score_gemma":0.000563591,"domain_scores_codex":[0.9998842,0.00001929643,0.000009615602,0.0000304939,0.00003069027,0.00002564124],"domain_scores_gemma":[0.9998922,0.00001570801,0.00003283575,0.00001615464,0.00002277826,0.00002038608],"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":[0.00001012152,0.000003988661,0.000009084893,0.000007509064,7.668863e-7,0.000008404389,0.000005389036,0.00003596374,0.999117,0.00009942558,0.00002077614,0.0006816342],"study_design_scores_gemma":[0.000005579567,0.00004325489,0.0001021493,9.243943e-7,0.000002423867,0.00005506131,0.000001776787,0.0007724477,0.9977137,0.0000176636,0.001282481,0.000002603648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395779,0.002367523,0.05227276,0.0002636531,0.00008303978,0.0001305266,0.0001794681,0.0007342779,0.004390853],"genre_scores_gemma":[0.9712327,0.0006571158,0.0235421,0.00009773155,0.00002578982,0.00009138254,0.00022623,0.00008129972,0.004045602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006456613,"threshold_uncertainty_score":0.002159953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005424057081228967,"score_gpt":0.2300591429701626,"score_spread":0.2246350858889336,"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."}}