{"id":"W2806573423","doi":"10.1002/mren.201800025","title":"Design of Acrylic Dispersants for Nonaqueous Dispersion Polymerization: The Importance of Thermodynamics","year":2018,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Comonomer; Dispersant; Methacrylate; Materials science; Polymerization; Dispersion polymerization; Solubility; Hildebrand solubility parameter; Polymer chemistry; Chemical engineering; Polymer; Radical polymerization; Dispersion (optics); Macromonomer; Acrylic acid; Chemistry; Organic chemistry; Copolymer; 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":[0.000576855,0.0007393791,0.000294409,0.0003456463,0.0002092321,0.0004507399,0.0003267633,0.0003018395,0.0008710507],"category_scores_gemma":[0.0005656524,0.0003613485,0.0002030077,0.0001814416,0.0002718657,0.0005923598,0.0002710869,0.0005265044,0.0005843209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578538,"about_ca_system_score_gemma":0.0004674864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003786635,"about_ca_topic_score_gemma":0.0008826699,"domain_scores_codex":[0.9997348,0.00004655631,0.00003231394,0.00007287645,0.00008326832,0.00003007854],"domain_scores_gemma":[0.9996864,0.00007704772,0.0001117867,0.00002391233,0.00006483794,0.00003610489],"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":[0.00005697223,0.00003891865,0.00008078319,0.0001444839,0.00000449382,0.00004440248,0.00002934763,0.001007823,0.9927951,0.0009460093,0.00003412098,0.004817661],"study_design_scores_gemma":[0.00004898965,0.0003085741,0.0002445744,0.0000103978,0.000009831767,0.00004070983,0.000007638361,0.004622643,0.9910748,0.0001533101,0.003469399,0.000009146517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.899019,0.006005359,0.08863809,0.0002169206,0.00013774,0.0008152534,0.0001499486,0.0003279211,0.00468972],"genre_scores_gemma":[0.9336779,0.002726868,0.06030482,0.00005472667,0.00003357539,0.000356417,0.0001354671,0.00009548525,0.00261485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008710507,"threshold_uncertainty_score":0.003050745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00842891058759974,"score_gpt":0.2191006524708305,"score_spread":0.2106717418832307,"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."}}