{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004562032,0.0002095142,0.0002038319,0.00007602378,0.0001913178,0.00003034058,0.0001225741,0.0001132133,0.0002949087],"category_scores_gemma":[0.00003176761,0.0002319561,0.0001383129,0.0002178798,0.00001987257,0.0001281858,0.00003305614,0.0001710284,0.0000359081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600128,"about_ca_system_score_gemma":0.00003950833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003128293,"about_ca_topic_score_gemma":0.000001466631,"domain_scores_codex":[0.9988628,0.000008077761,0.0002506465,0.000273903,0.0002545094,0.000350031],"domain_scores_gemma":[0.9994031,0.00001954518,0.00007281984,0.0003104871,0.00003291144,0.0001611103],"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":[0.00000868148,0.00002843452,0.0005117397,0.00003223508,0.00005278438,0.0001471543,0.00008957581,0.002202926,0.9966726,0.00001280767,0.00003439263,0.0002066651],"study_design_scores_gemma":[0.0004781972,0.00001274812,0.0002812615,0.00007676204,0.00003474845,0.0009101157,0.0001754576,0.02412711,0.9350485,0.000001741616,0.03837571,0.0004776115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925378,0.0002932954,0.003295644,0.00000969198,0.0003232625,0.00007992225,0.00001330603,0.0002595777,0.003187524],"genre_scores_gemma":[0.9980997,0.00002235823,0.000779324,0.00001406759,0.0001474067,0.00002321763,0.00001215212,0.00006810285,0.000833646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06162406,"threshold_uncertainty_score":0.9458896,"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."}}