{"id":"W2063636008","doi":"10.1039/c0ee00384k","title":"Designing electronic/ionic conducting membranes for artificial photosynthesis","year":2011,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Membrane; Artificial photosynthesis; Ionic bonding; Photosynthesis; Materials science; Polymer; Synthetic membrane; Conductive polymer; Figure of merit; Nanotechnology; Chemical engineering; Composite number; Polymer science; Chemistry; Engineering; Organic chemistry; Optoelectronics; Composite material; Ion; Biochemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005881475,0.0001387661,0.0001233541,0.00006282683,0.0008731149,0.00006813547,0.0004750169,0.00003657566,0.00121433],"category_scores_gemma":[0.00003535386,0.0001301351,0.0000580392,0.0001815945,0.0006778885,0.0003543961,0.0001054425,0.00005240813,0.00005862608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320781,"about_ca_system_score_gemma":0.00008226837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001925086,"about_ca_topic_score_gemma":0.00003637887,"domain_scores_codex":[0.9983528,0.0000260125,0.0002161762,0.0005347546,0.0002589772,0.00061134],"domain_scores_gemma":[0.9994118,0.0000764772,0.0001200313,0.0002738989,0.00000680125,0.0001110013],"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":[0.000008942232,0.00005672564,0.00002542118,0.000001959021,0.000001918084,3.647398e-7,0.0003697035,0.00002013461,0.9930928,0.002241675,0.000007523738,0.0041728],"study_design_scores_gemma":[0.00006667481,0.00004897778,0.00004616557,0.000004641673,0.00001313538,0.00000824091,0.0009270784,0.0001419245,0.9957261,0.001201582,0.001640622,0.0001748278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921745,0.0001656486,0.005929009,0.00005050944,0.0001999977,0.0001283239,0.000009517298,0.00006282105,0.001279655],"genre_scores_gemma":[0.994801,0.00002115075,0.004581674,0.00009375541,0.00008164279,0.0001237273,0.000002771862,0.00001587509,0.0002784314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003997972,"threshold_uncertainty_score":0.9996987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302792781721746,"score_gpt":0.2403126258423224,"score_spread":0.1872846980251049,"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."}}