{"id":"W4389001690","doi":"10.1007/978-3-031-47237-4_8","title":"Metal Organic Frameworks (MOFs) in Adsorption Heat Transformations","year":2023,"lang":"en","type":"book-chapter","venue":"Springer proceedings in energy","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Metal-organic framework; Adsorption; Materials science; Activated carbon; Porosity; Refrigeration; Carbon fibers; Chemical engineering; Coefficient of performance; Nanotechnology; Mechanical engineering; Chemistry; Composite material; Organic chemistry; Engineering; Heat exchanger","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":[0.0001323219,0.000503786,0.0005345889,0.0006583551,0.000358458,0.0009719835,0.0005582795,0.0007291721,0.00473893],"category_scores_gemma":[0.0001444488,0.0002757522,0.0003287121,0.001355031,0.0004211483,0.00103991,0.0006130081,0.0009986294,0.001516106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006774825,"about_ca_system_score_gemma":0.0002672878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362758,"about_ca_topic_score_gemma":0.003752723,"domain_scores_codex":[0.9998831,0.000009777714,0.000003009231,0.00002100382,0.00005520166,0.00002801484],"domain_scores_gemma":[0.9999779,0.00001054001,0.000001914918,0.000002729503,0.000004333142,0.000002552989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001232227,0.0001490416,0.0001139459,0.002722447,0.00005364378,0.0002313001,0.0001670254,0.004649221,0.08055987,0.2102922,0.05928676,0.6416514],"study_design_scores_gemma":[0.00000950656,0.0000788246,0.0003038129,0.0002963113,0.00002113569,0.0003388802,0.00005441987,0.002336116,0.03650827,0.0379995,0.9220251,0.00002811749],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0144636,0.8453039,0.01558872,0.001799079,0.002524197,0.00004275146,0.0002761681,0.0003325573,0.1196691],"genre_scores_gemma":[0.2125092,0.5047431,0.02160476,0.0009783607,0.001833852,0.0001003931,0.0004808267,0.0001778699,0.2575717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00473893,"threshold_uncertainty_score":0.01585329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042204134282194,"score_gpt":0.1963210473071028,"score_spread":0.1858990059642808,"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."}}