{"id":"W2768035897","doi":"10.1021/acs.macromol.7b00933","title":"Activation of Cp<sub>2</sub>ZrX<sub>2</sub> (X = Me, Cl) by Methylaluminoxane As Studied by Electrospray Ionization Mass Spectrometry: Relationship to Polymerization Catalysis","year":2017,"lang":"en","type":"article","venue":"Macromolecules","topic":"Organometallic Complex Synthesis and Catalysis","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Általános Orvostudományi Kar, Pécsi Tudományegyetem; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Academy of Finland","keywords":"Methylaluminoxane; Ethylene; Chemistry; Electrospray ionization; Catalysis; Mass spectrometry; Metallocene; Toluene; Post-metallocene catalyst; Polyethylene; Polymerization; Polymer chemistry; Inorganic chemistry; Analytical Chemistry (journal); Organic chemistry; Chromatography; Polymer","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":[0.00009119731,0.0002587368,0.0001196808,0.0001325154,0.0000763438,0.0002355051,0.0001896044,0.0002253409,0.001264709],"category_scores_gemma":[0.0001701499,0.000141712,0.0001386093,0.0001338796,0.0001469295,0.0001655812,0.0001484535,0.0002387117,0.0002400006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002353116,"about_ca_system_score_gemma":0.0001059265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006218739,"about_ca_topic_score_gemma":0.0008017428,"domain_scores_codex":[0.9999143,0.000009722339,0.000004399253,0.00001307211,0.00003582133,0.00002264828],"domain_scores_gemma":[0.9999194,0.00001731059,0.00004212216,0.000004145708,0.000009561367,0.000007467827],"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":[0.0000450681,0.0000034891,0.0002948208,0.00002095178,0.000002689683,0.00002985272,0.000009005656,0.00008461293,0.9988438,0.00005194133,0.00001151237,0.0006023424],"study_design_scores_gemma":[0.00000354191,0.000063484,0.003030884,0.000001912436,0.000003166139,0.0000767397,0.00001151912,0.0007631957,0.9957411,0.00001614339,0.0002856634,0.000002579708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970431,0.0005474333,0.001358807,0.00003173611,0.000003767838,0.000008787145,0.000119659,0.00002207378,0.0008647172],"genre_scores_gemma":[0.9979862,0.0004518515,0.0007604763,0.00001099068,0.000002850651,0.000005941878,0.0001140599,0.000005156194,0.0006624268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001264709,"threshold_uncertainty_score":0.004230917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00927845922605986,"score_gpt":0.233395829813143,"score_spread":0.2241173705870832,"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."}}