{"id":"W2515023934","doi":"10.1021/acs.oprd.5b00045","title":"In Situ Monitoring of Emulsion Polymerization by Raman Spectroscopy: A Robust and Versatile Chemometric Analysis Method","year":2015,"lang":"en","type":"article","venue":"Organic Process Research & Development","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"","keywords":"Monomer; Emulsion polymerization; Raman spectroscopy; Polymer; Polymerization; Emulsion; Calibration; In situ; Materials science; Chemistry; Analytical Chemistry (journal); Organic chemistry; Optics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002005096,0.001083527,0.0008173449,0.001095735,0.0003356703,0.0007510508,0.001484258,0.001016629,0.0004525024],"category_scores_gemma":[0.001553585,0.000489996,0.0005251674,0.0007939337,0.0007617256,0.001179494,0.001119731,0.00243347,0.000402703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005056604,"about_ca_system_score_gemma":0.0005047835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003384733,"about_ca_topic_score_gemma":0.0005484865,"domain_scores_codex":[0.9976524,0.0004216716,0.00009470512,0.0005968612,0.001130822,0.0001037428],"domain_scores_gemma":[0.9991553,0.0002718955,0.0002458651,0.0001035205,0.0001673184,0.00005609912],"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":[0.00001577564,0.00004057702,0.0001040888,0.00007911259,0.00001266671,0.00003379107,0.0000250002,0.000416265,0.9889265,0.0004725282,0.0001133491,0.009760441],"study_design_scores_gemma":[0.000004922617,0.0001078188,0.0002443787,0.000005839272,0.00001640907,0.000150484,0.00001362711,0.01121069,0.9862472,0.0002500118,0.001725037,0.00002358847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09771533,0.003148827,0.8953073,0.0004443885,0.0002146027,0.0001632911,0.000185833,0.001213542,0.001606874],"genre_scores_gemma":[0.363168,0.005183124,0.6276491,0.0003475907,0.0002476223,0.0002891813,0.0002478715,0.0002013117,0.002666122],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002005096,"threshold_uncertainty_score":0.01060408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476202091622169,"score_gpt":0.3782342572763496,"score_spread":0.3306140481141328,"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."}}