{"id":"W4412094663","doi":"10.1007/978-3-031-97377-2_4","title":"Hydrogen","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on renewable energy technologies","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002757203,0.0008985696,0.001156744,0.0007725104,0.0003109421,0.0001688762,0.001510668,0.001761234,0.002886878],"category_scores_gemma":[0.0005773461,0.0007420886,0.0003344618,0.0001045115,0.0003830896,0.00007448652,0.0005404466,0.0002836246,0.0003639414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002232778,"about_ca_system_score_gemma":0.0002216254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006044949,"about_ca_topic_score_gemma":0.0003936201,"domain_scores_codex":[0.996919,0.0000578155,0.0006130574,0.001187348,0.0005279663,0.0006948512],"domain_scores_gemma":[0.997218,0.0004724713,0.00040251,0.001753691,0.00008774808,0.00006561317],"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":[0.0002084537,0.00008836411,6.962363e-7,0.0002701202,0.0004192976,0.0004275126,0.00002091204,0.003557479,0.3648735,0.2781709,0.2017714,0.1501914],"study_design_scores_gemma":[0.00004070687,0.00004345898,1.873366e-8,0.0002750093,0.00007125742,0.000005330449,0.000005843414,0.000003604713,0.5137002,0.06963307,0.4158301,0.0003913867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005989313,0.005832696,0.0009872294,0.0007317485,0.001073449,0.0002881905,0.0003270604,0.00500569,0.985155],"genre_scores_gemma":[0.06628833,0.002696138,0.001249706,0.0005892718,0.0002285657,0.0003689234,0.00004553877,0.0001872854,0.9283462],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2140587,"threshold_uncertainty_score":0.9995347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004692666867626,"score_gpt":0.2104712497118154,"score_spread":0.2004243230431391,"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."}}