{"id":"W2004116767","doi":"10.1002/marc.200800038","title":"Linear High Molecular Weight Ladder Polymer via Fast Polycondensation of 5,5′,6,6′‐Tetrahydroxy‐3,3,3′,3′‐tetramethylspirobisindane with 1,4‐Dicyanotetrafluorobenzene","year":2008,"lang":"en","type":"article","venue":"Macromolecular Rapid Communications","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Directorate for Biological Sciences; U.S. Department of Energy","keywords":"Condensation polymer; Polymer; Yield (engineering); Polymer chemistry; Molar mass distribution; Materials science; Permeability (electromagnetism); Proton NMR; Chemistry; Organic chemistry; Composite material; Membrane","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001261877,0.0003885785,0.0001171261,0.0001762522,0.00007381252,0.00014777,0.0001705811,0.0001532131,0.001190805],"category_scores_gemma":[0.00008776531,0.0001177673,0.0001484261,0.0001341361,0.0001265806,0.0002537174,0.0001895503,0.0002759631,0.0004422516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002285546,"about_ca_system_score_gemma":0.0001184044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002151348,"about_ca_topic_score_gemma":0.0004308523,"domain_scores_codex":[0.9999272,0.000008598837,0.000003865029,0.00001535246,0.0000219092,0.00002315133],"domain_scores_gemma":[0.9999183,0.0000134872,0.00002653006,0.00001056256,0.000009000121,0.00002193213],"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":[0.0000154598,0.000006936848,0.00002049483,0.00001196269,0.000001277091,0.00001978536,0.000006404434,0.00005117475,0.998642,0.00008552596,0.0000192299,0.001119748],"study_design_scores_gemma":[0.000005017289,0.0001028169,0.0003447522,0.000001658365,0.000002958321,0.00004229805,0.00000271091,0.0003316814,0.9981123,0.00001727726,0.001034279,0.000002246174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854673,0.0007093705,0.01098311,0.00004868173,0.00001930322,0.00002226861,0.0001294194,0.0001894759,0.002431189],"genre_scores_gemma":[0.9869824,0.0006239395,0.006859897,0.0000289711,0.000007671578,0.00002240714,0.0002261915,0.00004413586,0.005204491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001190805,"threshold_uncertainty_score":0.003983676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009667563345025157,"score_gpt":0.2069862914786526,"score_spread":0.1973187281336274,"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."}}