{"id":"W3133473463","doi":"10.6000/2369-3355.2020.07.01","title":"Synthesis of Hydrogen Getter Zr1-xCox (x=0-1) Alloy Films by Magnetron Co-Sputtering","year":2020,"lang":"en","type":"article","venue":"Journal of Coating Science and Technology","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indira Gandhi Centre for Atomic Research","keywords":"Getter; Materials science; Zirconium; Hydrogen; Sputter deposition; Elastic recoil detection; Analytical Chemistry (journal); Electrical resistivity and conductivity; Thin film; Cavity magnetron; Cobalt; Sputtering; Alloy; Hydrogen storage; Metallurgy; Chemistry; Optoelectronics; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001324655,0.0001244865,0.0003963785,0.000243132,0.0001480743,0.00007274967,0.0006398904,0.0001002836,0.0001582444],"category_scores_gemma":[0.000910166,0.00009973803,0.0000369152,0.0004834278,0.0007265183,0.0004039792,0.0001659234,0.0001347352,0.00001549219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002342167,"about_ca_system_score_gemma":0.0001372301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008887988,"about_ca_topic_score_gemma":3.787083e-7,"domain_scores_codex":[0.9983574,0.00004041695,0.0005749136,0.0002341365,0.0004764998,0.0003165884],"domain_scores_gemma":[0.9988133,0.00007227476,0.0005925525,0.0001555042,0.0002422959,0.0001240145],"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":[0.00001345877,0.00001604524,0.000572804,0.00003090547,0.000004506028,0.00002345242,0.0002171399,0.000008880195,0.9960659,0.00005802025,0.0008254258,0.002163479],"study_design_scores_gemma":[0.0001611881,0.0002997061,0.00001984209,0.00005096304,0.00001903449,0.0001396004,0.0003373534,0.000106726,0.9970264,0.0001103446,0.001625853,0.0001030076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966747,0.0002029401,0.0001581166,0.002563655,0.0001150112,0.00007344012,0.00001164742,0.00003598328,0.0001645069],"genre_scores_gemma":[0.9964161,0.00003133687,0.00309588,0.0003767458,0.00005775809,0.000003368509,1.799525e-7,0.000009465779,0.000009175348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002937764,"threshold_uncertainty_score":0.4067199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045119257936753,"score_gpt":0.2419669060840315,"score_spread":0.231515713504664,"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."}}