{"id":"W2032978632","doi":"10.1021/ma101930x","title":"Polymers of Intrinsic Microporosity with Dinaphthyl and Thianthrene Segments","year":2010,"lang":"en","type":"article","venue":"Macromolecules","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Copolymer; Polymer; Polymer chemistry; Monomer; Materials science; Thermogravimetric analysis; Fluoropolymer; Microporous material; Differential scanning calorimetry; Dispersity; Chemical engineering; Polymerization; Chemistry; Organic chemistry; Thermodynamics; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000339985,0.00009505924,0.0001130159,0.00004271824,0.00002720278,0.00001104287,0.00005675476,0.00004171231,0.0001135948],"category_scores_gemma":[0.0000013647,0.00008145528,0.00001743765,0.00007106697,0.0000866734,0.00004116849,0.000006993417,0.00009866576,0.000004210916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002687,"about_ca_system_score_gemma":0.000006906162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003109465,"about_ca_topic_score_gemma":0.0001418836,"domain_scores_codex":[0.9996002,0.000004291978,0.0001061818,0.00009786638,0.00008054179,0.0001108586],"domain_scores_gemma":[0.999782,0.000005513971,0.00001670384,0.0001232014,0.00001527181,0.00005730397],"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":[0.00002150179,0.00002222771,0.008053318,0.00006898645,0.00002789959,0.00001855172,0.0002329169,0.0000350859,0.9846692,0.0003380414,0.00004490162,0.006467353],"study_design_scores_gemma":[0.0005394513,0.00005867183,0.04412723,0.00001868378,0.000020399,0.00003833176,0.00004367713,0.000129436,0.9539447,0.00002771671,0.0008918609,0.0001598554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960028,0.0001716926,0.000450496,0.00003063734,0.0000921967,0.00006845114,0.00001439365,0.00006091112,0.003108451],"genre_scores_gemma":[0.9987749,0.00004841097,0.001053835,0.00002679642,0.00001222979,0.000002612087,0.00001110801,0.00001470848,0.00005536741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03607392,"threshold_uncertainty_score":0.332165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003400934365164825,"score_gpt":0.1878403224811624,"score_spread":0.1844393881159975,"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."}}