{"id":"W4256646010","doi":"10.1002/ange.201782261","title":"Frontispiz: High‐Throughput Synthesis of Mixed‐Metal Electrocatalysts for CO<sub>2</sub> Reduction","year":2017,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chemistry; Throughput; Metal; Computer science; Organic chemistry; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004625595,0.001003871,0.0007331619,0.0008570754,0.0006542556,0.0007271043,0.0008044093,0.0008386481,0.01081954],"category_scores_gemma":[0.0002910522,0.0004745142,0.0005901499,0.0008658238,0.0002565958,0.0008034084,0.0006989058,0.001185907,0.004574349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006893113,"about_ca_system_score_gemma":0.0005904132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697217,"about_ca_topic_score_gemma":0.002630396,"domain_scores_codex":[0.9997655,0.00001968912,0.00001337394,0.00006158036,0.0001020371,0.00003794442],"domain_scores_gemma":[0.9999245,0.00001640766,0.000005587538,0.00001755986,0.00002578925,0.00001008185],"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":[0.0003325189,0.0001151443,0.0002860334,0.0004508641,0.00005971005,0.0001331339,0.00007331767,0.00193964,0.9244619,0.002260393,0.009025347,0.06086197],"study_design_scores_gemma":[0.00004969721,0.0002075325,0.0008641971,0.00001381962,0.00003536429,0.00008426814,0.00002214641,0.003421123,0.960656,0.0006876526,0.03393366,0.00002450734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4840534,0.05618628,0.2897718,0.003754104,0.003200123,0.001620507,0.01677969,0.01211508,0.1325191],"genre_scores_gemma":[0.7798329,0.02701793,0.1114095,0.0005654806,0.0004476029,0.000675311,0.01066103,0.001785167,0.06760507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01081954,"threshold_uncertainty_score":0.03619504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539743703802039,"score_gpt":0.2571684488857072,"score_spread":0.2417710118476868,"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."}}