{"id":"W4367044592","doi":"10.1016/j.ijthermalsci.2023.108354","title":"Numerical investigation of thermo-fluid behaviour in a channel with PCM-filled columns","year":2023,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Computational fluid dynamics; Mechanics; Thermal; Photobioreactor; Thermal energy storage; Offset (computer science); Phase-change material; Channel (broadcasting); Column (typography); Heat transfer; Environmental science; Nuclear engineering; Thermodynamics; Biofuel; Mechanical engineering; Computer science; Waste management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001586747,0.00009639872,0.0001876425,0.0004865216,0.00004623652,0.00005598567,0.0008018941,0.00004947582,0.0001525521],"category_scores_gemma":[0.0001850998,0.00006911396,0.00007272966,0.0007647496,0.0002404364,0.0003849072,0.00004439482,0.0001397771,0.00001582545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006323822,"about_ca_system_score_gemma":0.0001567347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004211067,"about_ca_topic_score_gemma":0.00004610707,"domain_scores_codex":[0.9980147,0.0002291166,0.0005196456,0.00014966,0.0009146072,0.0001722056],"domain_scores_gemma":[0.998827,0.000181791,0.000483671,0.00008855259,0.0003457731,0.00007320719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007711204,0.000270767,0.5116069,0.00001407345,0.0002486252,0.0002196918,0.009826453,0.1816025,0.2774972,0.006261264,0.0003888522,0.01129252],"study_design_scores_gemma":[0.001536169,0.0005264066,0.8988165,0.0001994167,0.00002205739,0.0001447753,0.001281221,0.01175008,0.08005781,0.005126216,0.0003032779,0.0002361024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955149,0.00003921602,0.0004621771,0.0018603,0.0005268951,0.00006511038,0.000003894004,0.00001876422,0.00150872],"genre_scores_gemma":[0.9966664,0.00001397037,0.002953704,0.0001033484,0.0001388361,0.000006171987,0.000002722054,0.000009800429,0.0001050962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3872095,"threshold_uncertainty_score":0.2818385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04617217106191437,"score_gpt":0.3253268789562491,"score_spread":0.2791547078943347,"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."}}