{"id":"W2167666865","doi":"10.1002/chem.201404202","title":"Macrocyclic Olefin Metathesis at High Concentrations by Using a Phase‐Separation Strategy","year":2014,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Synthetic Organic Chemistry Methods","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre in Green Chemistry and Catalysis","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Centre in Green Chemistry and Catalysis","keywords":"Olefin metathesis; Chemoselectivity; Olefin fiber; Metathesis; Alkyl; Chemistry; Catalysis; Organic chemistry; Combinatorial chemistry; Acyclic diene metathesis; Chromatographic separation; Polymerization; High-performance liquid 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001025694,0.000464508,0.0004386827,0.00002143636,0.0005772032,0.0002994207,0.0006232721,0.0001348218,0.01195042],"category_scores_gemma":[0.0005203394,0.0004783208,0.0002388366,0.0001561228,0.0002027432,0.0001648141,0.0001282967,0.0006745369,0.0001112335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338822,"about_ca_system_score_gemma":0.0001227225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004173075,"about_ca_topic_score_gemma":2.718964e-7,"domain_scores_codex":[0.9971167,0.0003001355,0.0009008204,0.000576151,0.0004852572,0.0006208869],"domain_scores_gemma":[0.9977953,0.0002150547,0.0006760621,0.0006567496,0.0001380379,0.0005187658],"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":[0.00005111719,0.000175918,0.00003444975,0.00006979694,0.0001077655,0.00005617019,0.0001050656,0.00007954011,0.9877756,0.000004621254,0.003008978,0.008530999],"study_design_scores_gemma":[0.002354035,0.00002128355,0.000006981797,0.00009180508,0.0002081916,0.00170735,0.0001469099,0.005668987,0.9623241,0.00005881654,0.02691848,0.000493068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595701,0.0003325745,0.009119994,0.00014894,0.0001010938,0.00004209077,0.0001052463,0.0001323401,0.0304477],"genre_scores_gemma":[0.9890161,0.00005661737,0.003877667,0.00006950564,0.001136437,0.000003001327,0.0001372553,0.0001279707,0.005575433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02944609,"threshold_uncertainty_score":0.9997668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042198677542879,"score_gpt":0.3081797613426417,"score_spread":0.277757774567213,"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."}}