{"id":"W4303628871","doi":"10.3390/compounds2040020","title":"Effect of KCl Addition on First Hydrogenation Kinetics of TiFe","year":2022,"lang":"en","type":"article","venue":"Compounds","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Ball mill; Kinetics; Materials science; Hydrogen storage; Potassium; Hydrogen; Inorganic chemistry; Chemical engineering; Metallurgy; Chemistry; Organic chemistry; Alloy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004974507,0.00008616957,0.0002142973,0.0000760503,0.0001007784,0.00001093281,0.0001832051,0.00002735965,0.001934281],"category_scores_gemma":[0.00005066032,0.00008019257,0.0000538243,0.0001183235,0.00004865578,0.00004589903,0.00009904198,0.00003924061,0.00004484831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000556803,"about_ca_system_score_gemma":0.000009402003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002369077,"about_ca_topic_score_gemma":0.000003027774,"domain_scores_codex":[0.9989579,0.000210697,0.000257202,0.0001450938,0.0003169382,0.0001121455],"domain_scores_gemma":[0.9993556,0.000162399,0.000193717,0.0002258599,0.00003428569,0.00002810142],"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":[0.0001252425,0.00009278369,0.00002315172,0.00008344561,0.000004961959,0.000003636427,0.0001154144,0.0008258123,0.9964169,0.0002775989,0.001798526,0.0002325082],"study_design_scores_gemma":[0.000348929,0.001362096,0.00004202199,0.0000171354,0.00001761991,0.000007337083,0.000007773168,0.0001176911,0.9836847,0.00009094689,0.01423329,0.00007041814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972218,0.00003816265,0.00004530583,0.00003214729,0.0005862626,0.0001644471,0.000189039,0.00003025872,0.001692569],"genre_scores_gemma":[0.9996508,0.000002681901,0.00005285528,0.00002700975,0.00005821216,0.00004256634,0.00008832413,0.00001133797,0.00006615138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01273217,"threshold_uncertainty_score":0.9989781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009668713960618512,"score_gpt":0.2427952113382085,"score_spread":0.23312649737759,"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."}}