{"id":"W2138253055","doi":"10.1002/mren.201500028","title":"Investigating the Effectiveness of Reactive Dispersants in Non‐Aqueous Dispersion Polymerization","year":2015,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dispersant; Macromonomer; Methacrylate; Materials science; Dispersion polymerization; Polymerization; Polymer chemistry; Aqueous solution; Radical polymerization; Chemical engineering; Dispersion (optics); Chemistry; Organic chemistry; Polymer; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003435382,0.0003412656,0.0001400038,0.0001311786,0.00009031035,0.0002211016,0.0001688951,0.0002544956,0.000598062],"category_scores_gemma":[0.0003960166,0.000124583,0.0001148284,0.00009630075,0.0001587063,0.00028718,0.0001097186,0.0002420818,0.0002466991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001743107,"about_ca_system_score_gemma":0.0001262893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004370402,"about_ca_topic_score_gemma":0.0006345463,"domain_scores_codex":[0.9998024,0.00003635303,0.00001647156,0.0000505058,0.00006239013,0.00003200522],"domain_scores_gemma":[0.9996374,0.0001675189,0.00007793145,0.00002147442,0.00006713987,0.00002862774],"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":[0.0000543857,0.00002240535,0.00004761472,0.00002617665,0.000001596789,0.00001075264,0.0000110128,0.00004511008,0.998926,0.00002847006,0.000007367425,0.0008190823],"study_design_scores_gemma":[0.000001686641,0.0001654449,0.0001489011,9.443942e-7,0.000003060129,0.000007954944,0.000002491859,0.0001881323,0.9993026,0.000003113962,0.0001748351,6.745124e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956684,0.0007100282,0.002512222,0.00001964716,0.00001597809,0.00002713268,0.00004329176,0.00003378138,0.0009694957],"genre_scores_gemma":[0.994286,0.0005694064,0.003179825,0.00001253806,0.000005723951,0.00001807177,0.00009706234,0.00001881286,0.00181269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000598062,"threshold_uncertainty_score":0.002000749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007019487253532383,"score_gpt":0.2142890760129858,"score_spread":0.2072695887594534,"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."}}