{"id":"W1966753191","doi":"10.1002/cssc.201402958","title":"Metal–Inorganic–Organic Matrices as Efficient Sorbents for Hydrogen Storage","year":2015,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Hydrogen storage; Hydrogen; Chemistry; Metal; Chemical engineering; Adsorption; Inorganic chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003892403,0.0003637436,0.0004465571,0.00005978406,0.0001805832,0.00009042553,0.0006891971,0.0003294454,0.00292775],"category_scores_gemma":[0.0006020312,0.0003470555,0.0002406624,0.0003665357,0.00007336646,0.00008363133,0.0001828013,0.0002715955,0.001099139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013773,"about_ca_system_score_gemma":0.0001922544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001418375,"about_ca_topic_score_gemma":0.000002027099,"domain_scores_codex":[0.9978368,0.00001492854,0.0004820566,0.000661956,0.0004637222,0.0005404944],"domain_scores_gemma":[0.9979576,0.0001960073,0.0002712554,0.0009606701,0.000187543,0.0004268694],"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":[0.00003135239,0.0003915038,0.00008157855,0.0001386509,0.0001732431,0.000003482645,0.0002986281,0.0000386614,0.9902328,0.00148794,0.006010048,0.001112168],"study_design_scores_gemma":[0.0007170477,0.00001816894,0.000006613085,0.00003276245,0.0001776664,0.00001747907,0.0005112189,0.001076237,0.9116068,0.0009779359,0.08446494,0.0003931396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778495,0.002366276,0.001843413,0.0004970499,0.0001664853,0.0003299893,0.00005914816,0.0003276453,0.01656052],"genre_scores_gemma":[0.9912204,0.00004026449,0.002017271,0.0001369055,0.0004989317,0.0002125483,0.00009239665,0.0001218959,0.005659346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07862595,"threshold_uncertainty_score":0.9998981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487302074107968,"score_gpt":0.2592508985063433,"score_spread":0.2343778777652636,"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."}}