{"id":"W4406983899","doi":"10.1007/978-3-031-73921-7_48","title":"Refined TMY Data Generation Method for Accurate Sizing of Bifacial PV Module-Based Micro-Grids in Snowfall-Prone Climates","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Sizing; Snow; Environmental science; Meteorology; Remote sensing; Computer science; Geology; Geography","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":[0.0001983076,0.0003506008,0.0003375425,0.0003942256,0.0002084627,0.0003265534,0.0007113978,0.0002419478,0.005760798],"category_scores_gemma":[0.0008170604,0.000229879,0.0003701528,0.0005558316,0.0001064304,0.0004397647,0.0003288102,0.0004352333,0.001171663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002521076,"about_ca_system_score_gemma":0.0005362884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005905327,"about_ca_topic_score_gemma":0.009841666,"domain_scores_codex":[0.9999179,0.00001402205,0.00000499019,0.00001489452,0.00003855504,0.000009757058],"domain_scores_gemma":[0.9997723,0.00006366202,0.0000139829,0.00004096742,0.0001035364,0.000005570088],"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":[0.000188791,0.00004170737,0.001791539,0.0001677814,0.00005362733,0.0001105492,0.0001386098,0.6231532,0.03043637,0.005410058,0.008150362,0.3303574],"study_design_scores_gemma":[0.00001006464,0.0000126407,0.0003754134,0.000004188767,0.000004621264,0.00001709122,0.00001370427,0.9919893,0.004411867,0.0009530282,0.002204171,0.000003863462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03141641,0.0001375005,0.962622,0.00004602187,0.00005400901,0.00003540329,0.0006721668,0.002293878,0.002722712],"genre_scores_gemma":[0.3513565,0.0001128865,0.6414534,0.00006276173,0.00002904015,0.0001738364,0.002084816,0.0006542755,0.004072434],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005905327,"threshold_uncertainty_score":0.01927173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521710225831632,"score_gpt":0.2874552506910661,"score_spread":0.2522381484327498,"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."}}