{"id":"W2013971420","doi":"10.1002/mren.200900086","title":"Reducing ATRP Catalyst Concentration in Batch, Semibatch and Continuous Reactors","year":2010,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Dispersity; Catalysis; Monomer; Copper; Polymer; Copolymer; Chemical engineering; Acrylate; Polymer chemistry; Methacrylate; Materials science; Solubility; Batch reactor; Chemistry; Organic chemistry","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":[0.00007613293,0.0001569336,0.000160229,0.0000528079,0.00004013428,0.00004431856,0.00005835728,0.0001300005,0.00004659397],"category_scores_gemma":[0.0000731395,0.0001819033,0.00003386119,0.0001107888,0.00001671804,0.0002104262,0.00001969178,0.0003063193,0.000003413086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004630302,"about_ca_system_score_gemma":0.00001255381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001173732,"about_ca_topic_score_gemma":0.00001536299,"domain_scores_codex":[0.9991738,0.000005917404,0.0002362339,0.0002632872,0.0001122034,0.0002086192],"domain_scores_gemma":[0.9995875,0.00002996848,0.00008616222,0.0002003225,0.00002263034,0.00007344898],"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":[0.000007349838,0.00001654845,0.001013665,0.00003164953,0.000009918249,0.00001696869,0.0001925443,0.00009760218,0.9889987,0.00008319336,0.000001820461,0.009530012],"study_design_scores_gemma":[0.0002447067,0.000005120439,0.002335071,0.00006128713,0.00001400212,0.00007095992,0.00006893183,0.004892537,0.9879965,0.000005828679,0.004086756,0.0002183206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965853,0.00007972115,0.00205003,0.00004446077,0.0002412694,0.00005287054,0.000005324735,0.0001110184,0.0008299994],"genre_scores_gemma":[0.9992287,0.00005119022,0.000358215,0.00001037561,0.0001255148,0.00001742006,0.00008656925,0.000037068,0.00008498989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009311691,"threshold_uncertainty_score":0.7417803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002646268315306856,"score_gpt":0.1873719328726811,"score_spread":0.1847256645573742,"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."}}