{"id":"W2162344851","doi":"10.1002/cjce.22271","title":"Polydimethylsiloxane microspheres with poly(methyl methacrylate) coating: Modelling, preparation, and characterization","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polydimethylsiloxane; Microsphere; Characterization (materials science); Coating; Materials science; Methacrylate; Methyl methacrylate; Monolith; Chemical engineering; Polymer chemistry; Polymer science; Composite material; Nanotechnology; Polymer; Chemistry; Organic chemistry; Copolymer; Catalysis; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002580305,0.00013416,0.0001723256,0.00007945431,0.0000366477,0.0000876854,0.0001312175,0.00006743182,0.000004299176],"category_scores_gemma":[0.00004180503,0.0001027585,0.00002755411,0.0001415435,0.00003155337,0.0001527398,0.000007289452,0.0002515873,9.296032e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155295,"about_ca_system_score_gemma":0.0001456797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004672993,"about_ca_topic_score_gemma":0.0001246134,"domain_scores_codex":[0.9993345,0.000008688019,0.000242881,0.00007143152,0.0001223426,0.0002201862],"domain_scores_gemma":[0.9993054,0.0000343696,0.00005533354,0.0001018893,0.0001133364,0.0003896869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001453044,0.000002321037,0.0001607341,0.00002825723,0.00007086993,0.00001374206,0.001419623,0.6107312,0.3865359,0.0003335267,0.00005949897,0.0006297342],"study_design_scores_gemma":[0.0003398713,0.00004321822,0.00004191389,0.00008334783,0.00003903632,0.0002030318,0.00002637428,0.8909668,0.1067644,0.00008546445,0.001205029,0.0002014455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366521,0.001602723,0.06132283,0.0001324606,0.0001479714,0.00005734529,0.000004979116,0.00002679161,0.00005275469],"genre_scores_gemma":[0.9923955,0.000009083044,0.007376536,0.00002221147,0.0001264357,0.00000158295,0.000004368515,0.00003545875,0.00002884568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2802356,"threshold_uncertainty_score":0.4190368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008786085241446551,"score_gpt":0.1817066071377372,"score_spread":0.1729205218962907,"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."}}