{"id":"W4206282141","doi":"10.3390/en15030698","title":"Development of a Low-Depth Modular GHX through a Real-Scale Experiment","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Modular design; HVAC; Heat exchanger; Engineering; Efficient energy use; Lift (data mining); Environmental science; Automotive engineering; Mechanical engineering; Air conditioning; Computer science; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001141628,0.0005896111,0.0003943186,0.0003068744,0.0003224085,0.0003481911,0.0007521065,0.0005929376,0.001689592],"category_scores_gemma":[0.0009213133,0.0001614985,0.0003887934,0.0002247976,0.000470918,0.0007586491,0.0005153556,0.0005122594,0.0004159668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004103522,"about_ca_system_score_gemma":0.0004785054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397682,"about_ca_topic_score_gemma":0.001825882,"domain_scores_codex":[0.9995624,0.00007192028,0.00001892404,0.00009346972,0.0001817447,0.00007154853],"domain_scores_gemma":[0.999398,0.0001080153,0.0000747639,0.0001047707,0.0002182211,0.00009609337],"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":[0.001820242,0.003942681,0.01478106,0.0008324527,0.00007094124,0.0004882253,0.0004622414,0.03371349,0.8680084,0.001104938,0.001235349,0.07353996],"study_design_scores_gemma":[0.0009162225,0.04432264,0.06489747,0.00006713768,0.0002369814,0.0003035646,0.001211549,0.1113022,0.759764,0.000996464,0.01584803,0.000133755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964313,0.00006585493,0.03268622,0.00007641667,0.00005475809,0.0005544759,0.0003561623,0.0004265829,0.001466641],"genre_scores_gemma":[0.9578632,0.00008562466,0.03932515,0.00004310589,0.000008923646,0.0003673829,0.0002769512,0.0000367936,0.00199295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001689592,"threshold_uncertainty_score":0.006037533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804182489564593,"score_gpt":0.2485002295207582,"score_spread":0.2304584046251122,"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."}}