{"id":"W2525024343","doi":"10.1615/heatpipescietech.v6.i3-4.100","title":"EVALUATION OF CaCl2-SILICA GEL SORBENT FOR WATER SORPTION COOLING SYSTEMS","year":2015,"lang":"en","type":"article","venue":"Heat Pipe Science and Technology An International Journal","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sorbent; Sorption; Mesoporous silica; Porosimetry; Materials science; Physisorption; Thermogravimetric analysis; Silica gel; Desiccant; Chemical engineering; Mesoporous material; Zeolite; Porosity; Adsorption; Composite material; Chemistry; Porous medium; Organic chemistry; Catalysis","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":[0.000336984,0.0005241725,0.0002506423,0.0003296731,0.0002610041,0.0002372131,0.0002955736,0.0002869055,0.0009988481],"category_scores_gemma":[0.000501685,0.0001813652,0.0002075272,0.0002108451,0.000199371,0.0002824086,0.0001722436,0.0002560926,0.0003290228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003126993,"about_ca_system_score_gemma":0.0002885899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001918415,"about_ca_topic_score_gemma":0.005572445,"domain_scores_codex":[0.9997512,0.00005005851,0.00001463177,0.00004445431,0.0001031386,0.00003656952],"domain_scores_gemma":[0.9997538,0.00006345942,0.0000285422,0.00001490604,0.0001015862,0.00003780008],"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":[0.00004326622,0.000009616325,0.0001099443,0.00003432498,0.000004836116,0.00001427054,0.00000633756,0.0000684061,0.9991548,0.00001016547,0.000007401124,0.0005367125],"study_design_scores_gemma":[0.000004597361,0.0001235176,0.0008503956,0.000001471469,0.000007286242,0.00002729059,0.000009474636,0.0003698495,0.9982445,0.000003115495,0.000355883,0.000002612245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953551,0.0007087293,0.002959096,0.00002972892,0.00001737646,0.00005254264,0.0001144391,0.00005561163,0.000707483],"genre_scores_gemma":[0.9921706,0.0005919311,0.005235681,0.00002159784,0.00001019215,0.00003242068,0.000212654,0.00003264444,0.001692278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001918415,"threshold_uncertainty_score":0.003814518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04601127925875956,"score_gpt":0.3147384397064805,"score_spread":0.2687271604477209,"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."}}