{"id":"W2570973456","doi":"","title":"Employing heat pumps to recover low grade industrial thermal resources for space heating and cooling","year":2016,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Mechanical engineering; Space (punctuation); Thermal; Heat pump; Process engineering; Nuclear engineering; Engineering; Materials science; Environmental science; Thermodynamics; Computer science; Physics; Heat exchanger","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001210747,0.0003718955,0.0004358535,0.0004497021,0.0005383722,0.0001108891,0.0003145524,0.0004788081,0.0001443648],"category_scores_gemma":[0.00003441058,0.000375609,0.0001816187,0.0003713861,0.00003452189,0.0001718599,0.00005008508,0.0002499193,0.00002177166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011963,"about_ca_system_score_gemma":0.00006519317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00909687,"about_ca_topic_score_gemma":0.01606272,"domain_scores_codex":[0.9983212,0.00008488992,0.0002889176,0.0006325404,0.0002126916,0.0004597779],"domain_scores_gemma":[0.9989901,0.0001268232,0.0002018615,0.0003402471,0.0001122465,0.0002287033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009649122,0.001144906,0.006711454,0.003148988,0.005010722,0.0002716623,0.06887582,0.1475144,0.3440534,0.1750709,0.007384247,0.2311643],"study_design_scores_gemma":[0.004712327,0.0002632275,0.001418326,0.002733496,0.0005614897,0.00000976063,0.01867685,0.0009051928,0.01392955,0.0001630366,0.9547051,0.00192169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835289,0.0001253534,0.0008774383,0.0002684313,0.0006551645,0.0006290462,0.00009275568,0.0001503794,0.01367254],"genre_scores_gemma":[0.8861548,0.0000290615,0.0003857681,0.00005575174,0.001136889,0.00002591933,0.0004559124,0.0001347429,0.1116212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9473208,"threshold_uncertainty_score":0.9998696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599626327263155,"score_gpt":0.2165614927538591,"score_spread":0.2005652294812276,"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."}}