{"id":"W2347131648","doi":"10.1039/c6ra03721f","title":"From rice husk to high performance shape stabilized phase change materials for thermal energy storage","year":2016,"lang":"en","type":"article","venue":"RSC Advances","topic":"Phase Change Materials Research","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Lakeridge Health","funders":"Universiti Malaya; Ministry of Higher Education, Malaysia","keywords":"Husk; Phase change; Thermal energy storage; Materials science; Thermal; Phase (matter); Phase-change material; Energy storage; Chemical engineering; Chemistry; Engineering physics; Thermodynamics; Physics; Engineering; Botany; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002180818,0.0002339486,0.0003336437,0.0001032135,0.00006981309,0.00005387601,0.0003113971,0.00006940256,0.001473412],"category_scores_gemma":[0.00006580677,0.0001698219,0.00003295749,0.0001168245,0.00003604466,0.0006739447,0.00007689394,0.0000299091,0.0001028395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444627,"about_ca_system_score_gemma":0.00001372378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007340017,"about_ca_topic_score_gemma":0.00002210462,"domain_scores_codex":[0.9986016,0.00003438311,0.0002522827,0.0003101733,0.0002735877,0.0005279551],"domain_scores_gemma":[0.9992293,0.0001856702,0.00004286622,0.0003130838,0.00008469023,0.0001443721],"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":[0.0003353342,0.00003482794,0.000002696972,0.0001064986,0.00002020724,0.000003784476,0.0002438324,0.00004974131,0.9210048,0.00002887321,0.0001939079,0.07797544],"study_design_scores_gemma":[0.001931769,0.0002047547,0.0001174352,0.00009693026,0.000008578562,6.497097e-7,0.00002472635,0.0007739174,0.9504942,0.0001396783,0.04592071,0.0002866735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909703,0.0009592566,0.004063028,0.0001625829,0.001183453,0.0004689496,0.001832842,0.0002777462,0.0000818636],"genre_scores_gemma":[0.9952944,0.0007322062,0.001007613,0.00007678261,0.001585277,0.001076996,0.00005706117,0.00007817449,0.0000914695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07768876,"threshold_uncertainty_score":0.9994394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04261253215572287,"score_gpt":0.3057291178197684,"score_spread":0.2631165856640456,"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."}}