{"id":"W2065204365","doi":"10.1021/la902427r","title":"Controlled Self-Assembly of Quantum Dot−Block Copolymer Colloids in Multiphase Microfluidic Reactors","year":2009,"lang":"en","type":"article","venue":"Langmuir","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; British Columbia Knowledge Development Fund; University of Victoria","keywords":"Dispersity; Materials science; Shear rate; Particle size; Breakup; Coalescence (physics); Microfluidics; Polymer; Nanotechnology; Particle (ecology); Polystyrene; Chemical physics; Chemical engineering; Analytical Chemistry (journal); Chemistry; Polymer chemistry; Chromatography; Composite material; Mechanics","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":[0.0002682043,0.0002122127,0.0004515296,0.0003219546,0.00002772583,0.00001188553,0.0001689178,0.0001585963,0.00001818568],"category_scores_gemma":[0.00002395065,0.0002000696,0.00007227415,0.0008076265,0.00003341208,0.0001027237,0.00001460396,0.000194597,0.00001219129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001338648,"about_ca_system_score_gemma":0.00002960095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005003782,"about_ca_topic_score_gemma":7.407258e-7,"domain_scores_codex":[0.9987921,0.00002507114,0.0005728596,0.0001719893,0.0001543981,0.0002835525],"domain_scores_gemma":[0.9995194,0.00003929417,0.00009049291,0.0002180967,0.0001045634,0.00002814019],"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":[0.00008280136,0.0001271005,0.0003504929,0.00003609459,0.0000351446,0.0000117247,0.0004331076,0.000002752903,0.9821851,0.004479558,0.01123381,0.001022299],"study_design_scores_gemma":[0.003685066,0.0001032655,0.00305363,0.00004973752,0.00001883858,0.000009191969,0.0000849659,0.0008548708,0.9829944,0.0001497431,0.008745485,0.0002508526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850813,0.002052475,0.00575854,0.00009679234,0.000173034,0.0004938007,0.00002510954,0.0005404417,0.005778532],"genre_scores_gemma":[0.9991567,0.00007794256,0.000347411,0.0001609204,0.00005460496,0.00002498587,0.00004425423,0.00002826117,0.0001049953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01407535,"threshold_uncertainty_score":0.8158599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007760169792567984,"score_gpt":0.238046025164443,"score_spread":0.230285855371875,"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."}}