{"id":"W2314086010","doi":"10.1021/ma300751s","title":"Decarboxylation-Induced Cross-Linking of Polymers of Intrinsic Microporosity (PIMs) for Membrane Gas Separation","year":2012,"lang":"en","type":"article","venue":"Macromolecules","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Ministry of Education, Science and Technology; Natural Resources Canada; National Research Foundation of Korea","keywords":"Fourier transform infrared spectroscopy; Membrane; Polymer; Nitrile; Polymer chemistry; Decarboxylation; Chemistry; Gas separation; Hydrolysis; Swelling; Chemical engineering; Thermogravimetric analysis; Organic chemistry; Catalysis","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":[],"consensus_categories":[],"category_scores_codex":[0.000210393,0.0001523504,0.0002535044,0.0001094538,0.00004886524,0.00001387793,0.0001058545,0.0001039179,0.00006623031],"category_scores_gemma":[0.00001440859,0.0001645626,0.0001182427,0.0001654357,0.00004581654,0.000173746,0.000008316124,0.00006924541,0.000005354419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002414659,"about_ca_system_score_gemma":0.00002053776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003079129,"about_ca_topic_score_gemma":0.00002704637,"domain_scores_codex":[0.9990132,0.00001862527,0.0004395891,0.0001209987,0.0001626267,0.000244949],"domain_scores_gemma":[0.99949,0.00004660294,0.0001054798,0.0001907473,0.00009274705,0.00007441224],"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":[0.00004506152,0.00004523372,0.005634692,0.000329397,0.00005392719,4.417136e-7,0.0007638408,0.002230637,0.9878815,0.001092258,0.00001450771,0.001908468],"study_design_scores_gemma":[0.0005535364,0.00003386955,0.009750558,0.00003068622,0.00003904451,0.000003669492,0.00003274781,0.001722767,0.9873248,0.00005302151,0.0003005243,0.0001547965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872317,0.0003236015,0.009952608,0.00001465067,0.000307549,0.0002770973,0.0000387425,0.00007804803,0.001776016],"genre_scores_gemma":[0.998169,0.00003046701,0.001503223,0.00002138386,0.00007677834,0.00001516298,0.0001227232,0.00003053121,0.00003070789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01093733,"threshold_uncertainty_score":0.6710666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636073389839112,"score_gpt":0.2783502191663134,"score_spread":0.2619894852679223,"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."}}