{"id":"W1988835553","doi":"10.1021/ma070855x","title":"Semiconductor Quantum Dots with Environmentally Responsive Mixed Polystyrene/Poly(methyl methacrylate) Brush Layers","year":2007,"lang":"en","type":"article","venue":"Macromolecules","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polystyrene; Copolymer; Materials science; Dynamic light scattering; Methyl methacrylate; Quantum dot; Chemical engineering; Photoluminescence; Polymer; Cadmium sulfide; Solvent; Brush; Polymer chemistry; Polymer brush; Nanoparticle; Poly(methyl methacrylate); Methacrylate; Nanotechnology; Chemistry; Organic chemistry; Composite material; Optoelectronics; Polymerization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007890871,0.0002417461,0.0002349829,0.0001186766,0.0002097789,0.00008550128,0.0002501196,0.00009639745,0.0003720433],"category_scores_gemma":[0.0001109561,0.000199202,0.00005935525,0.0002555855,0.0002294216,0.0001803938,0.0001119501,0.0001134287,0.0002338546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036382,"about_ca_system_score_gemma":0.00004669632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002226245,"about_ca_topic_score_gemma":0.0001672993,"domain_scores_codex":[0.9980648,0.0001829927,0.0003331771,0.0004909896,0.0003781793,0.0005499179],"domain_scores_gemma":[0.9989897,0.0001792252,0.0001438033,0.0004442016,0.00004581734,0.0001972353],"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":[0.0002847262,0.00007173875,0.001471229,0.00001148026,0.00001537343,0.00009486848,0.0005328104,0.00009545728,0.9953465,0.0005973336,0.00005221203,0.001426302],"study_design_scores_gemma":[0.0005537216,0.000195072,0.01539775,0.00003319398,0.00002905729,0.00004993737,0.0006089988,0.0001381049,0.9807532,0.0002125494,0.001714232,0.0003142226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908093,0.0003724312,0.007649576,0.0001052122,0.0002593849,0.0002223432,0.00004429845,0.0001265242,0.0004109674],"genre_scores_gemma":[0.9925416,0.00001455401,0.006879428,0.0001598315,0.00004987946,0.00001243306,0.00001617298,0.00004223312,0.000283928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01459331,"threshold_uncertainty_score":0.8123222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244664679464024,"score_gpt":0.2452691591699963,"score_spread":0.2328225123753561,"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."}}