{"id":"W2322538108","doi":"10.1016/j.solener.2016.03.030","title":"Air–PCM heat exchanger for peak load management: Experimental and simulation","year":2016,"lang":"en","type":"article","venue":"Solar Energy","topic":"Phase Change Materials Research","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Heat exchanger; Phase-change material; Computer science; Experimental data; Thermal energy storage; Environmental science; Thermal; Calibration; Nuclear engineering; Simulation; Process engineering; Mechanical engineering; Meteorology; Thermodynamics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00008239273,0.0001045269,0.0000945776,0.00006787464,0.00004444998,0.0000249241,0.00007161326,0.00004710834,0.0001367275],"category_scores_gemma":[0.00000686546,0.00008405784,0.00002506285,0.00004136708,0.00002015061,0.0001434525,0.00006137855,0.00001459931,0.00001663192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068557,"about_ca_system_score_gemma":0.000003082848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000014296,"about_ca_topic_score_gemma":0.00001000151,"domain_scores_codex":[0.9993725,0.00001467925,0.00008989031,0.0001513348,0.0001309974,0.0002406002],"domain_scores_gemma":[0.9997264,0.00003617192,0.000006175163,0.0001469391,0.00002131154,0.00006306554],"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":[0.00005960049,0.0000293364,0.000006272375,0.0001096565,0.00005727672,0.000008528064,0.0002264596,0.002811715,0.9726306,0.0008860165,0.001303389,0.02187121],"study_design_scores_gemma":[0.001718033,0.00008676347,0.0001041823,0.00006284597,0.0000106037,0.000002808936,0.00007296405,0.04499047,0.7996181,0.0005362995,0.1525076,0.0002893406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.832688,0.004299977,0.1522084,0.0002586658,0.001039086,0.0005602165,0.000120374,0.0005672441,0.008258058],"genre_scores_gemma":[0.9983495,0.0001286916,0.0002501432,0.00003724614,0.0002076013,0.000125793,0.00001224877,0.00003921051,0.0008495401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1730125,"threshold_uncertainty_score":0.3427779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476490382141363,"score_gpt":0.2791976709028736,"score_spread":0.25443276708146,"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."}}