{"id":"W2914029374","doi":"10.1111/ppl.12935","title":"Artificial photosynthesis with metal and covalent organic frameworks (MOFs and COFs): challenges and prospects in fuel‐forming electrocatalysis","year":2019,"lang":"en","type":"article","venue":"Physiologia Plantarum","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Centre for Research on Intermediality, University of Montreal","keywords":"Artificial photosynthesis; Context (archaeology); Fossil fuel; Nanotechnology; Metal-organic framework; Biochemical engineering; Electrocatalyst; Photosynthesis; Covalent bond; Catalysis; Chemistry; Materials science; Environmental science; Organic chemistry; Electrochemistry; Engineering; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002619586,0.0002496485,0.000425697,0.0000989797,0.00009481125,0.0000629537,0.0001622494,0.0002076708,0.0001569875],"category_scores_gemma":[0.00005565697,0.0001965584,0.00001965501,0.0001839117,0.0001649912,0.0001925688,0.0001755175,0.0003715019,0.0000494314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004598666,"about_ca_system_score_gemma":0.00003388999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004215055,"about_ca_topic_score_gemma":0.00038098,"domain_scores_codex":[0.9984144,0.00005526067,0.0002464866,0.0006870499,0.0001839723,0.0004128528],"domain_scores_gemma":[0.9990935,0.0003215531,0.0001268788,0.0003490649,0.00002424769,0.00008475932],"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":[0.001245246,0.0001325469,0.00162728,0.0001690722,0.00003751854,0.000005725465,0.0008035182,0.0000038574,0.9926373,0.001461668,0.000006038016,0.001870282],"study_design_scores_gemma":[0.003755311,0.001712399,0.1236273,0.0003923488,0.0002673229,0.0001714296,0.002065797,0.0007415591,0.847499,0.01830631,0.0001898034,0.001271351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963039,0.002232941,0.00003952862,0.0004717838,0.00004739813,0.000730791,0.00001967244,0.0000774222,0.00007662937],"genre_scores_gemma":[0.9967951,0.002319408,0.0005986111,0.0001020757,0.0000436379,0.00008823529,0.00001508,0.00002417074,0.00001364787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1451382,"threshold_uncertainty_score":0.8015419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009901024875695661,"score_gpt":0.2079316129319115,"score_spread":0.1980305880562158,"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."}}