{"id":"W4389083073","doi":"10.2139/ssrn.4647044","title":"A Co2 Geothermal Thermosiphon to Preheat Supply Air for Ventilation Heat Recovery Systems in Cold Climates","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Thermosiphon; Ventilation (architecture); Environmental science; Heat recovery ventilation; Geothermal gradient; Heat exchanger; Engineering; Geology; Mechanical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001594871,0.0003596138,0.0005203304,0.0004091882,0.00009162123,0.0001525704,0.0003397317,0.0003640651,0.000007991763],"category_scores_gemma":[0.0000278146,0.0003743505,0.00024724,0.0001937658,0.000009883967,0.0001107437,0.00006854068,0.001872578,0.00008449496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002640387,"about_ca_system_score_gemma":0.0006094678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003004098,"about_ca_topic_score_gemma":0.001182966,"domain_scores_codex":[0.996669,0.0000927295,0.0007365514,0.00034014,0.000282644,0.001878946],"domain_scores_gemma":[0.9993106,0.00008891332,0.0001183617,0.0002886184,0.00008707875,0.0001064841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001827868,0.00002815586,0.00065701,0.0004828166,0.0002378323,0.000004998489,0.0002972447,0.9888628,0.005847442,0.001977099,0.0007864661,0.0006353203],"study_design_scores_gemma":[0.008100729,0.0024141,0.01281523,0.01307624,0.000537983,0.001317398,0.007485268,0.8670907,0.005041295,0.05131062,0.02539049,0.00541995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156649,0.008845806,0.06566125,0.0002809387,0.00614739,0.00247677,0.0001340371,0.0006311465,0.000157805],"genre_scores_gemma":[0.9938513,0.002818485,0.00003964596,0.00002669875,0.0009033493,0.0004670632,0.00006635999,0.0001844016,0.001642679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1217721,"threshold_uncertainty_score":0.9998708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327283305685683,"score_gpt":0.2375500182594785,"score_spread":0.2242771852026217,"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."}}