{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001424594,0.0004567617,0.0002108193,0.0002724766,0.0001322073,0.0002962826,0.0002374824,0.000310964,0.001662364],"category_scores_gemma":[0.0001495968,0.0001808226,0.0002454556,0.0001417476,0.0001711825,0.0003557602,0.0003057641,0.000621572,0.0009022712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000219781,"about_ca_system_score_gemma":0.0003040852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001552453,"about_ca_topic_score_gemma":0.0003577519,"domain_scores_codex":[0.9998887,0.00001182433,0.00001272398,0.000030748,0.00003088231,0.0000251628],"domain_scores_gemma":[0.9999388,0.0000143873,0.00001729807,0.00001052537,0.000009848881,0.000009030898],"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":[0.00003285449,0.00001936174,0.00002706881,0.00003413373,0.00000506666,0.00006282016,0.00001168261,0.0001203709,0.9956393,0.0005874557,0.00007027197,0.003389508],"study_design_scores_gemma":[0.00001030212,0.000139174,0.000120764,0.000004032409,0.000006570456,0.00008287514,0.000002597078,0.0002946451,0.9966191,0.00008303257,0.002633222,0.000003648447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8325492,0.004618683,0.1295909,0.0005089265,0.0002320238,0.0007057236,0.0008849158,0.001496163,0.02941346],"genre_scores_gemma":[0.9710853,0.001973596,0.02301142,0.0001028962,0.00003638167,0.0001623378,0.0002188086,0.00007383512,0.003335334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001662364,"threshold_uncertainty_score":0.005561173,"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."}}