{"id":"W2915705180","doi":"10.1002/advs.201801903","title":"Towards Solar Methanol: Past, Present, and Future","year":2019,"lang":"en","type":"review","venue":"Advanced Science","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"","keywords":"Renewable energy; Context (archaeology); Raw material; Process engineering; Greenhouse gas; Photovoltaic system; Environmental science; Sustainability; Solar energy; Syngas; Waste management; Biochemical engineering; Engineering; Chemistry; Catalysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003686464,0.0003350202,0.0008369038,0.0002641229,0.0001770862,0.00009894465,0.0007676715,0.0001793906,0.0000737594],"category_scores_gemma":[0.00002044607,0.0002537677,0.0002037533,0.00115754,0.0003369608,0.0004931202,0.0003555954,0.0003267908,0.0000696302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160064,"about_ca_system_score_gemma":0.0003127147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003768881,"about_ca_topic_score_gemma":0.000001941866,"domain_scores_codex":[0.9978983,0.00004933261,0.0003294518,0.0008385828,0.0004607629,0.0004235346],"domain_scores_gemma":[0.9986321,0.00003331379,0.0002435151,0.0008284623,0.0001059026,0.0001566484],"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":[9.503492e-7,0.000007667448,9.44308e-8,0.001078909,0.000009437867,0.00000231711,0.0000206532,0.000001888797,0.00002601455,0.001764989,0.0002490151,0.996838],"study_design_scores_gemma":[0.00005077905,0.0000362444,0.000002164124,0.0006844336,0.00009474048,0.00006322546,0.00002623674,0.000004125967,0.0002407395,0.000499692,0.9979893,0.0003083017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00000230185,0.9864119,0.000270148,0.0001275437,0.0009692608,0.0004323598,0.00001276485,0.0001696334,0.01160407],"genre_scores_gemma":[0.0000134871,0.9938794,0.002688935,0.00002861185,0.001082354,0.00009012994,0.00001668031,0.00003497649,0.002165426],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9977403,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436620046675681,"score_gpt":0.3511017118360656,"score_spread":0.3167355113693088,"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."}}