{"id":"W2349699593","doi":"10.1021/acs.jpcc.6b03011","title":"Synthesis and Electrochemical Evaluation of Multivalent Vanadium Hydride Gels for Lithium and Hydrogen Storage","year":2016,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"Engineering and Physical Sciences Research Council","keywords":"Vanadium; Hydrogen storage; Gravimetric analysis; Hydride; Electrochemistry; Lithium (medication); Inorganic chemistry; Hydrogen; Redox; Chemistry; Thermal decomposition; Adsorption; Materials science; Chemical engineering; Electrode; Organic 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":[0.0001680128,0.0002758698,0.0001559889,0.0003916546,0.0001369582,0.0002817822,0.0002514832,0.0003313279,0.0007163511],"category_scores_gemma":[0.000173106,0.0001719215,0.0001631271,0.0002101208,0.0001316397,0.0002179522,0.0001844964,0.0002606878,0.0001560971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269072,"about_ca_system_score_gemma":0.000105533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004781076,"about_ca_topic_score_gemma":0.001674038,"domain_scores_codex":[0.9999161,0.000008468724,0.000008785529,0.00001457234,0.00003608335,0.00001589774],"domain_scores_gemma":[0.9999132,0.00001470972,0.00002270736,0.000005196975,0.0000271434,0.00001705863],"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":[0.00002120942,0.0000104838,0.00004355462,0.00004600684,0.000003356625,0.00002246346,0.00001043793,0.00007421202,0.9985721,0.00003430068,0.00002520911,0.001136724],"study_design_scores_gemma":[0.000005328894,0.0001226534,0.000403955,0.000005579352,0.000008193072,0.0000560008,0.00001521786,0.0005771687,0.997957,0.00001474732,0.0008293351,0.000004682647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918994,0.001448621,0.004381611,0.00008474168,0.00004562029,0.0000511,0.0002459656,0.0001046945,0.001738303],"genre_scores_gemma":[0.9894987,0.0007449209,0.007387581,0.00003012228,0.000009875748,0.00004740075,0.0001650631,0.00002705938,0.002089199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007163511,"threshold_uncertainty_score":0.002396464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716138602956451,"score_gpt":0.2681094205991798,"score_spread":0.2509480345696153,"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."}}