{"id":"W2066823592","doi":"10.1002/cjce.22141","title":"Energy gas storage in template‐synthesized carbons with different porous structures","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Zeolite Catalysis and Synthesis","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microporous material; Hydrogen storage; Materials science; Adsorption; Carbonization; Volume (thermodynamics); Chemical engineering; Methane; Porosity; Mesoporous material; Energy storage; Carbon fibers; Polymer; Specific surface area; Activated carbon; Organic chemistry; Chemistry; Composite material; Composite number; Thermodynamics; Catalysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001414716,0.0001786425,0.0003461872,0.0001198689,0.00003669284,0.0000503205,0.0003554802,0.00009637637,0.0001532037],"category_scores_gemma":[0.0001581679,0.0001122127,0.00009295028,0.0001002997,0.0000537608,0.00004090819,0.00001140445,0.0003423791,3.351399e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002356494,"about_ca_system_score_gemma":0.0001221021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002580797,"about_ca_topic_score_gemma":0.001988523,"domain_scores_codex":[0.999051,0.00001466102,0.000306879,0.0001097181,0.0001895409,0.0003281823],"domain_scores_gemma":[0.9990395,0.0001953191,0.0001138963,0.0002391828,0.00003956079,0.0003725935],"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":[0.0001280766,0.00003225593,0.002223798,0.000137537,0.0003966827,0.0003800387,0.001125563,0.02002365,0.9620615,0.00307269,0.0001974781,0.01022074],"study_design_scores_gemma":[0.0007795091,0.00002245447,0.0005094856,0.0002926918,0.0001207653,0.0004523354,0.0000581012,0.01008892,0.9833204,0.0005525979,0.003374113,0.0004286107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998607,0.0002625145,0.0001356723,0.0002595453,0.00004191626,0.00001129569,0.000005290135,0.000008722158,0.0006680606],"genre_scores_gemma":[0.9996098,0.000002729025,0.00008606145,0.00003405045,0.0002004158,0.000002289411,0.000002636444,0.00003038571,0.00003158719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02125893,"threshold_uncertainty_score":0.4575901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004680548286683438,"score_gpt":0.1583405904388418,"score_spread":0.1536600421521583,"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."}}