{"id":"W2964481274","doi":"10.11159/iccpe19.127","title":"Effect of Ligands in MMA AGET ATRP in 2L Stirred Tank Emulsion Reactor","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Emulsion; Chemistry; Polymer chemistry; Chemical engineering; Materials science; Organic chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000212877,0.0005197956,0.0005809108,0.0002135171,0.0001439632,0.0003309797,0.0003767706,0.0004463941,0.001336229],"category_scores_gemma":[0.0002372257,0.0002053246,0.0002074059,0.0002200006,0.0000993494,0.0003217628,0.0002726954,0.0007370643,0.0007044828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002814386,"about_ca_system_score_gemma":0.0002627075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006967862,"about_ca_topic_score_gemma":0.0009576319,"domain_scores_codex":[0.9996953,0.00005841634,0.0000239214,0.00009799947,0.00007538405,0.00004896841],"domain_scores_gemma":[0.9998597,0.00003497621,0.00004369254,0.000009486755,0.00002189916,0.00003018089],"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":[0.0002216044,0.00007923764,0.00005668872,0.0001136354,0.000006800458,0.0000452121,0.0000166987,0.0002126751,0.9967332,0.00004609297,0.00007762157,0.00239054],"study_design_scores_gemma":[0.00001695942,0.0003371346,0.0002664746,0.000007378706,0.00001416558,0.00003930238,0.000007178638,0.0009320251,0.9965172,0.0000119242,0.001843878,0.000006368794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821985,0.004640594,0.008938278,0.0002563563,0.00008621423,0.0000707625,0.0003638023,0.0005892134,0.002856251],"genre_scores_gemma":[0.975987,0.002465654,0.01493237,0.0001387489,0.00003768176,0.0001234114,0.0004205013,0.00009044653,0.005804163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001336229,"threshold_uncertainty_score":0.00447011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003018523489116179,"score_gpt":0.1997719358965223,"score_spread":0.1967534124074061,"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."}}