{"id":"W4413507912","doi":"10.2139/ssrn.5404624","title":"Synthesis of Cobalt Catalysts Using Waste Derived Mwcnts as Support and Study on its Effect in the Hydrolysis of Nabh4 for Hydrogen Production","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Cobalt; Catalysis; Hydrolysis; Hydrogen production; Hydrogen; Production (economics); Waste management; Chemistry; Business; Chemical engineering; Materials science; Nuclear chemistry; Organic chemistry; Economics; Engineering","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":[0.000123944,0.0002366817,0.0003256363,0.0002604081,0.0002566174,0.0003409732,0.0003402016,0.0003924426,0.001115666],"category_scores_gemma":[0.0003853969,0.0001509469,0.0002744544,0.0003065656,0.0001336612,0.0002769288,0.000183935,0.0003895862,0.0003648524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002876708,"about_ca_system_score_gemma":0.0002205264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009044515,"about_ca_topic_score_gemma":0.001986043,"domain_scores_codex":[0.9998959,0.000007647725,0.000009324982,0.00002465478,0.00004037117,0.00002199829],"domain_scores_gemma":[0.9998611,0.00003239263,0.00002734709,0.00002339948,0.00003440777,0.00002137764],"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":[0.0001909396,0.00004102209,0.0003141167,0.0001569649,0.00001020324,0.0001137513,0.00002977124,0.000170103,0.9949077,0.0001735472,0.00008079258,0.003811107],"study_design_scores_gemma":[0.00000428704,0.00006814471,0.000496612,0.000002385831,0.00000613055,0.00003712841,0.000008468652,0.0004005867,0.9982505,0.00001631161,0.0007070259,0.000002253446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929178,0.00128232,0.003212781,0.0001109314,0.00004538146,0.00003580836,0.0002602115,0.00007717585,0.002057808],"genre_scores_gemma":[0.9944065,0.0005671743,0.002604998,0.00001284669,0.00001153463,0.00001731653,0.0002699181,0.00003445995,0.002075326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001115666,"threshold_uncertainty_score":0.003732324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054005447021676,"score_gpt":0.3031280629869268,"score_spread":0.2825880085167101,"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."}}