{"id":"W2463604077","doi":"10.1021/jacs.6b04971","title":"Poly(isophthalic acid)(ethylene oxide) as a Macromolecular Modulator for Metal–Organic Polyhedra","year":2016,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic Energy Sciences; University of California, San Diego; Manitoba Medical Service Foundation; U.S. Department of Energy","keywords":"Isophthalic acid; Chemistry; Ethylene oxide; Polymer; Metal; Oxide; Macromolecule; Ethylene; Ligand (biochemistry); Organic compound; Poly ethylene; Polymer chemistry; Chemical engineering; Inorganic chemistry; Organic chemistry; Polyester; Catalysis; Copolymer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009827215,0.0003211575,0.000137318,0.0001217218,0.0001304633,0.0002342517,0.0002396206,0.000184568,0.0004815388],"category_scores_gemma":[0.0000972,0.0001233469,0.0001128717,0.0001082309,0.0001527201,0.0002630642,0.0002159064,0.0004135329,0.0001953941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222118,"about_ca_system_score_gemma":0.0001561228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002775579,"about_ca_topic_score_gemma":0.000627107,"domain_scores_codex":[0.9999329,0.00001046839,0.000004828683,0.00001871218,0.00001926554,0.00001375097],"domain_scores_gemma":[0.9999282,0.00001620868,0.0000259159,0.00000747989,0.000008150763,0.00001405481],"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":[0.00003123506,0.00001681711,0.00006240376,0.00003656659,0.000002855537,0.00004564504,0.00001366537,0.0001464181,0.9954708,0.0005526667,0.00004516534,0.003575805],"study_design_scores_gemma":[0.000007417331,0.00009033678,0.0002363531,0.000002367983,0.000004328612,0.00005714485,0.000004138347,0.0009406573,0.9955943,0.00003228268,0.0030269,0.00000384831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467272,0.003672055,0.04245965,0.0001910412,0.00007505401,0.0001302526,0.0001506643,0.0002498422,0.006344204],"genre_scores_gemma":[0.9744689,0.001159974,0.02141847,0.00006618539,0.00002024428,0.00008101127,0.00007617086,0.0000331466,0.002675841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004815388,"threshold_uncertainty_score":0.00161159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005743682199575,"score_gpt":0.2503665610145639,"score_spread":0.2403091241925682,"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."}}