{"id":"W2889150402","doi":"10.14447/jnmes.v14i4.99","title":"Microstructure Analysis and Hydrolysis Mechanism of AlLi Alloys Activated by Metal Additives for Hydrogen Generation","year":2011,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Microstructure; Intermetallic; Hydrogen; Alloy; Hydrolysis; Metal; Hydrogen production; Metallurgy; Chemical engineering; Corrosion; Electrochemistry; Hydrogen storage; Inorganic chemistry; Chemistry; Physical chemistry; Electrode; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007509201,0.0001535511,0.0001182332,0.0003694257,0.0001182603,0.0001861015,0.0001900154,0.0001744648,0.0004806032],"category_scores_gemma":[0.00008433288,0.0001602264,0.0001519932,0.0001780306,0.0001307634,0.0001685515,0.00006117944,0.0001219427,0.0001155697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001847608,"about_ca_system_score_gemma":0.00007830232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006594358,"about_ca_topic_score_gemma":0.001231038,"domain_scores_codex":[0.9999461,0.000004875567,0.000004629735,0.00001072648,0.00002524999,0.000008314025],"domain_scores_gemma":[0.9999441,0.000007173627,0.00001598513,0.000006728307,0.00001989991,0.000006146019],"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":[0.00004838042,0.000003333938,0.0005694513,0.00002529084,0.000002247986,0.00003922897,0.00002075279,0.0001118373,0.9977655,0.00006981945,0.00001220023,0.001331807],"study_design_scores_gemma":[0.000003147374,0.00007016683,0.009289232,0.000002030127,0.000009613445,0.00008916241,0.00003315651,0.001431162,0.9883906,0.00003429973,0.0006440251,0.000003373742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952757,0.0006612394,0.002673256,0.0000194469,0.000008479881,0.00001515301,0.0001283995,0.00004713632,0.001171174],"genre_scores_gemma":[0.9972808,0.0002186148,0.001524037,0.000007466989,0.000002682631,0.000008271339,0.00008638921,0.000008804173,0.0008628703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006594358,"threshold_uncertainty_score":0.001607716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789195054966658,"score_gpt":0.2381154184610456,"score_spread":0.2202234679113791,"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."}}