{"id":"W2521128187","doi":"10.1016/j.cis.2016.09.002","title":"Nitrogen-containing polymers as a platform for CO2 electroreduction","year":2016,"lang":"en","type":"review","venue":"Advances in Colloid and Interface Science","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Science Foundation","keywords":"Polymer; Nitrogen; Nanotechnology; Chemistry; Environmental chemistry; Chemical engineering; Materials science; Polymer science; Organic chemistry; Engineering","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":[0.0001822802,0.0006812753,0.0005551507,0.0008604635,0.0001583995,0.0004745491,0.0004411652,0.0005516178,0.001272275],"category_scores_gemma":[0.0001432993,0.0002724737,0.0002817409,0.0008077757,0.0001946685,0.0008167844,0.0004181259,0.0007282365,0.0008461307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882767,"about_ca_system_score_gemma":0.0002522134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004295114,"about_ca_topic_score_gemma":0.001077335,"domain_scores_codex":[0.999908,0.00000847385,0.000007943716,0.00001904091,0.00004348082,0.00001296051],"domain_scores_gemma":[0.9999565,0.00001638207,0.00001173591,0.000002519234,0.000009111945,0.000003867225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001022269,0.0001701955,0.0001434013,0.01599825,0.0001111809,0.0004325737,0.00006025337,0.0009904043,0.1832669,0.005567803,0.007336031,0.7858207],"study_design_scores_gemma":[0.00002191317,0.0002978304,0.001141682,0.00103848,0.0001682929,0.001152019,0.0000439384,0.0008582763,0.127306,0.00146282,0.8664566,0.00005226365],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006483791,0.9851506,0.001377617,0.0001737456,0.0002698897,0.00001811579,0.000056134,0.00002928662,0.006440728],"genre_scores_gemma":[0.02418914,0.9679706,0.001404408,0.0001322551,0.0001333176,0.00002557831,0.0000915916,0.000008937738,0.006044123],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001272275,"threshold_uncertainty_score":0.004256129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945402351824057,"score_gpt":0.353693950866533,"score_spread":0.3342399273482925,"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."}}