{"id":"W6913166529","doi":"10.5683/sp3/fg4wc2","title":"Data and source code used for \"Simulation of tilted rooftop photovoltaic panels at city scale: Novel measurements, model development and application in WRF\"","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Photovoltaic system; Weather Research and Forecasting Model; Software deployment; Numerical weather prediction; Rooftop photovoltaic power station; Photovoltaic mounting system; Building-integrated photovoltaics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001486508,0.000499361,0.000669622,0.0004469389,0.0001146864,0.0000770643,0.0005884767,0.0004155442,0.000002814682],"category_scores_gemma":[0.0002189255,0.0005217856,0.00003689157,0.0003571303,0.0001239987,0.0002660662,0.0008115708,0.0002279547,0.00001067884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005050238,"about_ca_system_score_gemma":0.0002893321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006687132,"about_ca_topic_score_gemma":0.1186591,"domain_scores_codex":[0.9966399,0.00005525985,0.0009243183,0.001232008,0.0007814827,0.0003670129],"domain_scores_gemma":[0.9973966,0.000172597,0.0005551568,0.001506611,0.0002256176,0.0001433473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000290437,0.0002211451,0.0006695484,0.001187276,0.0001551244,5.648218e-7,0.0002917349,0.008703746,0.01178338,0.00000101267,0.9757847,0.0009113304],"study_design_scores_gemma":[0.001179058,0.00001317051,0.001181978,0.0002162462,0.0002476051,0.000002181469,0.00001286985,0.4453283,0.001632339,0.00004202427,0.5497957,0.0003484876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004921792,0.000228164,0.02627422,0.00001132868,0.00001912733,0.002447405,0.9660233,0.00006985276,0.000004817018],"genre_scores_gemma":[0.006160582,0.00003091223,0.003581506,0.00002980954,0.00003558241,0.0004351364,0.9895815,0.000122372,0.0000225907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4366245,"threshold_uncertainty_score":0.9999274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397717378415116,"score_gpt":0.3383578720420756,"score_spread":0.1985861342005641,"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."}}