{"id":"W2942043247","doi":"10.1016/j.energy.2019.04.140","title":"Photovoltaic thermal collectors: Experimental analysis and simulation model of an innovative low-cost water-based prototype","year":2019,"lang":"en","type":"article","venue":"Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Photovoltaic system; Electricity; Thermal; Engineering; Environmental science; Software; Civil engineering; Process engineering; Automotive engineering; Computer science; Meteorology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001410451,0.0002016838,0.0003597815,0.0002613342,0.00006329764,0.00002587445,0.0001277077,0.0001203767,0.0004978806],"category_scores_gemma":[0.000008065838,0.0001524828,0.00008478876,0.0006762199,0.00004715575,0.0001649298,0.0000339122,0.00006128281,0.000009684015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005373767,"about_ca_system_score_gemma":0.00004297084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007724215,"about_ca_topic_score_gemma":0.0003240854,"domain_scores_codex":[0.998751,0.0001272688,0.0003315996,0.0003189687,0.0002377797,0.0002333801],"domain_scores_gemma":[0.9992568,0.00004987106,0.0001502871,0.0003257567,0.0001456253,0.00007158819],"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":[0.0002812599,0.00009605159,0.00299141,0.00001119049,0.0001226326,7.094306e-7,0.0007728732,0.4512659,0.5441179,0.00008014941,4.986903e-7,0.0002593852],"study_design_scores_gemma":[0.000525318,0.0001275881,0.0004720814,0.000008562021,0.00002216494,2.204284e-7,0.00005948281,0.4813372,0.517144,0.00001842154,0.0001657311,0.0001192104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970264,0.00002581151,0.0009988617,0.000001457661,0.00006918218,0.000361922,0.00001857303,0.0000510535,0.001446758],"genre_scores_gemma":[0.9987869,2.765768e-7,0.0001354926,0.00007766094,0.00004924171,0.0001549522,0.0001737227,0.00003299497,0.0005887043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03007132,"threshold_uncertainty_score":0.9988834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621085788650065,"score_gpt":0.2514941564038203,"score_spread":0.2352832985173196,"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."}}