{"id":"W2120108319","doi":"10.1002/adma.200802832","title":"Exploiting the Kubas Interaction in the Design of Hydrogen Storage Materials","year":2009,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physisorption; Hydrogen storage; Adsorption; Materials science; Hydrogen; Nanotechnology; Metal; Material Design; Chemical engineering; Physical chemistry; Chemistry; Organic chemistry; Metallurgy; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002165436,0.0002705898,0.0005213997,0.000343682,0.0002811296,0.0006478599,0.000450448,0.000483257,0.001383481],"category_scores_gemma":[0.0001784063,0.0002781861,0.0002277354,0.0002582673,0.0003998448,0.0004246087,0.0003246596,0.0003017207,0.0003295819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322178,"about_ca_system_score_gemma":0.0004679809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005655764,"about_ca_topic_score_gemma":0.001097318,"domain_scores_codex":[0.999949,0.00001228982,0.000003133935,0.000007089721,0.00001706681,0.00001146683],"domain_scores_gemma":[0.9999605,0.00001809885,0.000006178077,0.000003845458,0.0000061725,0.000005128184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000423552,0.0002589465,0.002636664,0.001752779,0.000127214,0.0005588206,0.0001902077,0.4627525,0.2944295,0.1895839,0.002021616,0.0452643],"study_design_scores_gemma":[0.000170624,0.0004141016,0.001062347,0.00004184739,0.00004777773,0.0001536721,0.000186036,0.9158881,0.04651072,0.02354865,0.01192874,0.00004737474],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8572499,0.004209999,0.1060905,0.0009074161,0.0001118173,0.0001469434,0.0002119485,0.0004127595,0.0306588],"genre_scores_gemma":[0.9496264,0.0009689134,0.04683387,0.0000689556,0.000009062292,0.0001725366,0.0000806151,0.00004255302,0.002197116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001383481,"threshold_uncertainty_score":0.004628241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035226557330195,"score_gpt":0.2869615239551763,"score_spread":0.2566092583818743,"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."}}