{"id":"W2982384806","doi":"10.1021/acscatal.9b04023","title":"Photochemical CO<sub>2</sub> Reduction Driven by Water-Soluble Copper(I) Photosensitizer with the Catalysis Accelerated by Multi-Electron Chargeable Cobalt Porphyrin","year":2019,"lang":"en","type":"article","venue":"ACS Catalysis","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Japan Society for the Promotion of Science; China Scholarship Council; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Photosensitizer; Porphyrin; Cobalt; Photochemistry; Catalysis; Chemistry; Electron transfer; Aqueous solution; Photocatalysis; Artificial photosynthesis; Electron acceptor; Electron donor; Intramolecular force; Selectivity; Inorganic chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007321196,0.0004354174,0.0001762161,0.0001108706,0.0001079964,0.0002364057,0.0002183268,0.0001490258,0.0005650739],"category_scores_gemma":[0.0001252313,0.0001373728,0.00008976909,0.0001622511,0.0002668063,0.0002664822,0.0002389783,0.0002398906,0.0001494084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004097039,"about_ca_system_score_gemma":0.0001708958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008871243,"about_ca_topic_score_gemma":0.001233305,"domain_scores_codex":[0.9999232,0.000008580962,0.000003524925,0.00002191718,0.00002015364,0.00002257057],"domain_scores_gemma":[0.9999481,0.000005922097,0.00002362664,0.000005160756,0.000009088377,0.000008135199],"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":[0.00003058873,0.000006284296,0.00008556359,0.00004011746,0.000002770236,0.00002508627,0.000009749436,0.00005024243,0.9978541,0.0001164707,0.00005647001,0.001722678],"study_design_scores_gemma":[0.00000190085,0.00002555341,0.0004108644,7.056948e-7,0.000002302627,0.00004332235,0.000003938832,0.0004498156,0.9984608,0.000009135763,0.0005904628,0.000001255941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842064,0.001312478,0.01144492,0.0001070806,0.00002856574,0.00003241701,0.00008168707,0.000248282,0.002538154],"genre_scores_gemma":[0.9944751,0.000308556,0.004009382,0.00001517309,0.000007291643,0.00001410293,0.00006082622,0.0000228049,0.001086705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008871243,"threshold_uncertainty_score":0.002972662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007626188648178349,"score_gpt":0.22180104801395,"score_spread":0.2141748593657716,"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."}}