{"id":"W2966216539","doi":"10.14305/ibpc.2018.ps07","title":"PCM-to-Air Heat Exchangers for Free Cooling Applications","year":2018,"lang":"en","type":"article","venue":"Healthy, Intelligent and Resilient Buildings and Urban Environments","topic":"Phase Change Materials Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Heat exchanger; Generalization; Computer science; Thermal; Experimental data; Thermal energy storage; Mechanical engineering; Simulation; Applied mathematics; Engineering; Thermodynamics; Mathematics; Physics; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003341075,0.0004007982,0.0003248593,0.0002264309,0.0003395574,0.000430878,0.0005702293,0.0003790458,0.002707778],"category_scores_gemma":[0.000500485,0.0001499041,0.0004097561,0.000332352,0.0002440475,0.0005644912,0.0003805408,0.0003811262,0.0004713286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002362987,"about_ca_system_score_gemma":0.000340337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009030353,"about_ca_topic_score_gemma":0.001270891,"domain_scores_codex":[0.9997999,0.0000638006,0.000007323468,0.00002667764,0.00008715943,0.00001523826],"domain_scores_gemma":[0.9998398,0.00006750256,0.00001630987,0.00003915136,0.00002865337,0.000008638687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005182998,0.0003521681,0.007435827,0.001304713,0.00008185996,0.0004693547,0.0002217508,0.4506322,0.3201087,0.01945516,0.003208848,0.1962111],"study_design_scores_gemma":[0.00005268622,0.0006188651,0.0070028,0.00004968964,0.00004829055,0.0003431971,0.00008870648,0.8137574,0.1519798,0.004172381,0.02185637,0.00002989343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.434326,0.00252768,0.5463085,0.0002537547,0.0003379979,0.0002576927,0.0005608948,0.001450353,0.01397718],"genre_scores_gemma":[0.9667267,0.0005765905,0.02736632,0.000020315,0.00002336909,0.00007545218,0.0001705816,0.00003094075,0.005009708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002707778,"threshold_uncertainty_score":0.009058416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0257910930878601,"score_gpt":0.2814934074345994,"score_spread":0.2557023143467393,"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."}}