{"id":"W4235942600","doi":"10.4028/www.scientific.net/msf.377.71","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":"Materials science forum","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université du Québec à Trois-Rivières; Institut National de la Recherche Scientifique; Hydro-Québec","funders":"","keywords":"Nanocrystalline material; Materials science; Hydride; Electrode; Metal; Metallurgy; Nanotechnology; Chemistry; Physical 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":[0.00008357817,0.0001844127,0.0002531742,0.0001399544,0.0002242335,0.0002744484,0.0003825098,0.00020475,0.001675956],"category_scores_gemma":[0.0001554535,0.0001581758,0.0001407445,0.0001999848,0.0001063105,0.0002205225,0.0001275164,0.0002134054,0.0006335884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006414736,"about_ca_system_score_gemma":0.0003460251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176518,"about_ca_topic_score_gemma":0.009969365,"domain_scores_codex":[0.9999477,0.000002019292,0.000004343743,0.00001529814,0.0000196677,0.00001100148],"domain_scores_gemma":[0.9999501,0.000005396596,0.000008218834,0.00001245328,0.00001642906,0.000007370633],"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":[0.0000413897,0.000009464096,0.00006933308,0.00008835344,0.000004562357,0.00003364089,0.00002149408,0.0002327588,0.9954967,0.0004710171,0.0002424314,0.003288832],"study_design_scores_gemma":[0.000006033767,0.00003387835,0.000533513,0.000002744721,0.000006489809,0.00004050615,0.00001249517,0.0009148159,0.995373,0.00007465969,0.002998861,0.000002938546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945747,0.003660127,0.01994316,0.0002514654,0.0001712072,0.0001492268,0.002296959,0.0005570168,0.02722383],"genre_scores_gemma":[0.964772,0.0009463836,0.02376118,0.00004679497,0.000007889898,0.00006110332,0.001025787,0.0001177367,0.009261077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003176518,"threshold_uncertainty_score":0.006316066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322500869198891,"score_gpt":0.2357571563072987,"score_spread":0.2225321476153098,"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."}}