{"id":"W2613833971","doi":"10.1149/ma2010-01/27/1335","title":"High Performance Anode Materials for Hydrogen Production Via the Cu-Cl Thermochemical Cycle","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hydrogen production; Thermochemical cycle; Anode; Hydrogen; Production (economics); Materials science; Metallurgy; Chemical engineering; Chemistry; Electrode; Physical chemistry; Engineering; Economics; Organic chemistry","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":[0.0002423735,0.0002543426,0.0002520081,0.0004426113,0.0003763493,0.000572831,0.0005038814,0.0004219917,0.002108095],"category_scores_gemma":[0.0003270426,0.0001564605,0.00011823,0.0002912645,0.0001418417,0.000499812,0.0003163416,0.0003032849,0.0007026638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004321414,"about_ca_system_score_gemma":0.0002998167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008752121,"about_ca_topic_score_gemma":0.002371906,"domain_scores_codex":[0.9998907,0.00001564872,0.000006065021,0.00001204077,0.0000425457,0.00003296597],"domain_scores_gemma":[0.9999261,0.00001547478,0.000006653219,0.000008610939,0.00003280077,0.00001030736],"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":[0.0007124348,0.00008880776,0.0004031488,0.000556491,0.00001639035,0.0001625397,0.00005126386,0.0007362861,0.9685886,0.001823054,0.002356209,0.0245047],"study_design_scores_gemma":[0.00004175942,0.0002769942,0.0006896802,0.00001452272,0.00001961816,0.0001133526,0.00003055204,0.002655884,0.9867722,0.0003831668,0.008992918,0.000009256432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694628,0.007973962,0.007408849,0.0005172205,0.0002866577,0.00007277952,0.0006690647,0.0004150358,0.01319372],"genre_scores_gemma":[0.988687,0.001600911,0.002839796,0.000048036,0.00002909255,0.00002549504,0.0004064869,0.0000370921,0.006326087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002108095,"threshold_uncertainty_score":0.007052302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007066060232488685,"score_gpt":0.2051815748728464,"score_spread":0.1981155146403578,"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."}}