{"id":"W1987387232","doi":"10.4028/www.scientific.net/jmnm.11.71","title":"Synthesis of Nanocrystalline CaNi&lt;sub&gt;5&lt;/sub&gt;-Based Alloys and Use for Metal Hydride Electrode","year":2001,"lang":"en","type":"article","venue":"Journal of Metastable and Nanocrystalline Materials","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Trois-Rivières; Institut National de la Recherche Scientifique; Hydro-Québec","funders":"","keywords":"Nanocrystalline material; Materials science; Annealing (glass); Hydride; Hydrogen storage; Electrochemistry; Metallurgy; Electrode; Hydrogen; Chemical engineering; Metal; Nanotechnology; Physical chemistry; Organic chemistry; 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":[0.00007659004,0.0002318225,0.0003008274,0.000203675,0.0001662626,0.000260697,0.0004706357,0.0002307873,0.0009525656],"category_scores_gemma":[0.0001851097,0.0001464997,0.0001664294,0.0002752132,0.000115207,0.0002162441,0.0001109272,0.0001915926,0.000401092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006829509,"about_ca_system_score_gemma":0.0002980494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896741,"about_ca_topic_score_gemma":0.009758855,"domain_scores_codex":[0.9999154,0.000003015764,0.000007564744,0.00002466443,0.00003729254,0.00001208875],"domain_scores_gemma":[0.9998968,0.000009098237,0.0000211782,0.00001619853,0.00004362654,0.00001306897],"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":[0.0000210365,0.000005787338,0.00007413213,0.00006946385,0.000004438499,0.00002380614,0.000006589836,0.0001546506,0.9969522,0.000180301,0.00008647036,0.002421127],"study_design_scores_gemma":[0.000003705745,0.0000350554,0.0007014789,0.000003986162,0.00001424628,0.00005344072,0.000009419956,0.001067519,0.9953715,0.0000314171,0.002705993,0.000002334571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950933,0.00557537,0.02228082,0.0001925262,0.000179168,0.0001615321,0.001695132,0.0004430313,0.01853933],"genre_scores_gemma":[0.9541957,0.001109784,0.03815924,0.00004714564,0.000009338866,0.00006186018,0.0009455315,0.00007013943,0.005401335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002896741,"threshold_uncertainty_score":0.005759716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552344326909139,"score_gpt":0.2338449159556035,"score_spread":0.2183214726865121,"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."}}