{"id":"W2081488933","doi":"10.1002/mren.200800007","title":"Polymerisable Miniemulsions Using Rotor‐Stator Homogenisers","year":2008,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xerox (Canada); Queen's University","funders":"","keywords":"Miniemulsion; Dispersity; Materials science; Coalescence (physics); Particle size; Chemical engineering; Particle-size distribution; Particle (ecology); Nanotechnology; Composite material; Polymer chemistry; Polymerization; Polymer","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":[0.000370914,0.0004370766,0.0003365731,0.0002200694,0.0001010423,0.0003480238,0.0002766267,0.000320023,0.0007812689],"category_scores_gemma":[0.0003058667,0.0002496751,0.0002023579,0.0001272909,0.0002080011,0.0004032108,0.0002409137,0.0005803472,0.0005930852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016007,"about_ca_system_score_gemma":0.000165943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001678823,"about_ca_topic_score_gemma":0.0002532491,"domain_scores_codex":[0.9998428,0.00002157067,0.00002094509,0.00005114718,0.00004546271,0.00001810147],"domain_scores_gemma":[0.9998415,0.00004906107,0.00004510912,0.00001671734,0.0000291348,0.00001855991],"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":[0.00001161782,0.00000243064,0.00000644878,0.00001159769,7.763554e-7,0.000006336044,0.000004524403,0.00001405096,0.9994524,0.00002330275,0.00000985572,0.0004565208],"study_design_scores_gemma":[0.000007606136,0.00009003515,0.0002485049,0.000002604501,0.000004586665,0.00004875856,0.00000379905,0.0003750361,0.9975532,0.0000205147,0.00164192,0.000003378172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9190448,0.00254246,0.0738076,0.0001822275,0.0001366986,0.0003025208,0.000342362,0.0009830301,0.002658214],"genre_scores_gemma":[0.8649451,0.002995016,0.1189759,0.0001535534,0.00005795391,0.0002776651,0.0008000557,0.0003980312,0.01139692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007812689,"threshold_uncertainty_score":0.002613604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493572477555275,"score_gpt":0.2046048850417233,"score_spread":0.1896691602661706,"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."}}