{"id":"W4414491057","doi":"10.1016/j.jcis.2025.139071","title":"Identification of synergies in polyaniline supported cobalt polyphthalocyanine for efficient and selective CO2 electroreduction to CO","year":2025,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Science Foundation of Ningbo; Department of Education of Zhejiang Province; Ningbo Municipal Bureau of Science and Technology; Canadian Anesthesiologists' Society","keywords":"Polyaniline; Catalysis; Electrocatalyst; Faraday efficiency; Cobalt; Electrochemistry; Metal-organic framework; Hydrogen; Heterogeneous catalysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007617868,0.0000753327,0.0001946599,0.0005671977,0.00007920663,0.00004649737,0.0001373316,0.00003223441,0.000004449843],"category_scores_gemma":[0.0002216852,0.00006549191,0.00003128652,0.0009377991,0.0001831799,0.0001669847,0.00003093601,0.00008186221,1.556425e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332926,"about_ca_system_score_gemma":0.0002013407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007784804,"about_ca_topic_score_gemma":0.00002491693,"domain_scores_codex":[0.9990352,0.00001842583,0.0004611607,0.0001637511,0.0001805449,0.0001409585],"domain_scores_gemma":[0.999103,0.0000336172,0.0002505142,0.00008062553,0.0004760216,0.00005624425],"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":[0.0002337224,0.00005834439,0.0001725172,0.00001813939,0.0000098241,9.760578e-8,0.0003156179,0.001027449,0.9939181,0.001939009,0.0003151666,0.001991996],"study_design_scores_gemma":[0.0003290098,0.0004701503,0.004282435,0.00007519614,0.00001542271,0.00005172518,0.0007804589,0.001761606,0.9911976,0.0003980542,0.0005813523,0.00005695863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922971,0.0003559936,0.006193459,0.0005256193,0.0002064796,0.0001888337,0.000004483613,0.000007802653,0.0002202007],"genre_scores_gemma":[0.9991234,0.00005800111,0.0002873389,0.00002108066,0.00001933499,0.000006396584,4.635395e-7,0.000003414532,0.0004805651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006826276,"threshold_uncertainty_score":0.2670682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005994999016440339,"score_gpt":0.3020820168713216,"score_spread":0.2960870178548812,"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."}}