{"id":"W2441379794","doi":"10.1021/acscatal.6b01197","title":"Developing a Thermal- and Coking-Resistant Cobalt–Tungsten Bimetallic Anode Catalyst for Solid Oxide Fuel Cells","year":2016,"lang":"en","type":"article","venue":"ACS Catalysis","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Natural Resources Canada","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Universiteit van Amsterdam","keywords":"Bimetallic strip; Anode; Materials science; Catalysis; Oxide; Methane; Intermetallic; Chemical engineering; Solid oxide fuel cell; Cobalt; Tungsten; Annealing (glass); Steam reforming; Fuel cells; Cobalt oxide; Inorganic chemistry; Metallurgy; Hydrogen production; Chemistry; Electrode; Metal; Organic chemistry; Alloy","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"],"consensus_categories":[],"category_scores_codex":[0.0007176097,0.0004006294,0.0006205816,0.0001755907,0.0002788163,0.0001480931,0.0006626318,0.0001276555,0.0001250408],"category_scores_gemma":[0.000207668,0.0002906026,0.0001368466,0.0003327125,0.0003207098,0.0006172529,0.0004161125,0.00006473988,0.0003109621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002597574,"about_ca_system_score_gemma":0.000122517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001057459,"about_ca_topic_score_gemma":0.00009725964,"domain_scores_codex":[0.9971246,0.00007401457,0.0006865789,0.0008927951,0.0004259846,0.0007960512],"domain_scores_gemma":[0.9978744,0.000447593,0.0004224971,0.0008595232,0.0002071885,0.0001888468],"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":[0.00007908986,0.00003651121,0.0001858104,0.0001284663,0.0001082435,0.00001119103,0.0002349199,0.00002832214,0.9971148,0.0005371349,0.0002174831,0.001317975],"study_design_scores_gemma":[0.0009163317,0.00005141394,0.0003387578,0.00009903627,0.0002468418,0.000007586734,0.0001562994,0.00002696747,0.9829959,0.00120727,0.01341589,0.0005377384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699812,0.0009139596,0.02688441,0.0004380996,0.0003317588,0.0006197233,0.0002876398,0.0001552198,0.0003879772],"genre_scores_gemma":[0.9745125,0.0002634507,0.02247776,0.0004260102,0.0001083308,0.0001809545,0.00005871849,0.00007939169,0.001892912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01411898,"threshold_uncertainty_score":0.9999546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213997932985345,"score_gpt":0.2741907760109595,"score_spread":0.2527909827124251,"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."}}