{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003339773,0.0006173376,0.0007692977,0.0002037409,0.0003996665,0.0002103721,0.0006067352,0.0003511051,0.000376357],"category_scores_gemma":[0.00001370512,0.0004269858,0.000315511,0.001088233,0.0001962385,0.0004848358,0.0001480304,0.0005582869,0.0008156975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004894257,"about_ca_system_score_gemma":0.00008022194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00371364,"about_ca_topic_score_gemma":0.0001959011,"domain_scores_codex":[0.9964461,0.0001305269,0.0005877592,0.001149966,0.00069201,0.0009936808],"domain_scores_gemma":[0.9977042,0.0000383655,0.0002949951,0.001403401,0.0003224313,0.0002365974],"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":[0.0001749327,0.000290052,0.0000999613,0.000021499,0.0005252346,0.000004650221,0.0003324494,0.0001519945,0.9027226,0.000008197279,0.09497578,0.0006926804],"study_design_scores_gemma":[0.001025758,0.0001486723,0.00001255555,0.00001862129,0.0004054326,0.00009608897,0.0003568393,0.0003757818,0.9652952,0.000007629954,0.03161711,0.0006403013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964783,0.0002315281,0.0001174286,0.0009729619,0.000134864,0.0008665204,0.00008444268,0.0004770838,0.000636865],"genre_scores_gemma":[0.9801669,0.0001822677,0.0000641547,0.0002154267,0.0001052324,0.0004197715,0.01087685,0.0001338863,0.007835571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06335867,"threshold_uncertainty_score":0.9999623,"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."}}