{"id":"W2951522974","doi":"10.3390/ma12121973","title":"Hydrogen Storage for Mobility: A Review","year":2019,"lang":"en","type":"review","venue":"Materials","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":960,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Hydrogen storage; Compressed hydrogen; Hydrogen; Gravimetric analysis; Process engineering; Hydrogen economy; Hydrogen fuel; Energy storage; Environmental science; Compressed natural gas; Computer science; Materials science; Chemistry; Engineering; Mechanical engineering; Thermodynamics; Physics","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":[0.000378615,0.0009568581,0.001025692,0.00258685,0.0003620065,0.001111952,0.0007527152,0.0008818489,0.01024665],"category_scores_gemma":[0.0005565356,0.000348742,0.0005475625,0.002524293,0.0002545815,0.001551047,0.0006608694,0.0009795653,0.004172235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004553604,"about_ca_system_score_gemma":0.0009942885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008966411,"about_ca_topic_score_gemma":0.001625964,"domain_scores_codex":[0.9998319,0.00002113583,0.00002329578,0.00003509592,0.00006899895,0.00001959758],"domain_scores_gemma":[0.9997708,0.0001008611,0.00003683275,0.000007748646,0.00006448519,0.00001932828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000543371,0.00009456623,0.0001231646,0.05312568,0.00009345986,0.0002169888,0.00008894815,0.0003673791,0.004683494,0.005630739,0.05316177,0.8823593],"study_design_scores_gemma":[0.00000455514,0.00004931873,0.0002228041,0.002894828,0.00006704054,0.0004918106,0.00002957912,0.00004018117,0.0005347563,0.0008349402,0.994818,0.00001219499],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000169564,0.9970342,0.000131918,0.0001694344,0.0002653656,0.000006891708,0.00004471762,0.00001083424,0.002167063],"genre_scores_gemma":[0.0006682948,0.9977242,0.0002080231,0.0001238875,0.0001432708,0.000007724507,0.00005009041,0.00000255033,0.001071968],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01024665,"threshold_uncertainty_score":0.03427839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09419258145240385,"score_gpt":0.368688771805117,"score_spread":0.2744961903527132,"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."}}