{"id":"W3130003930","doi":"10.1016/j.coldregions.2021.103262","title":"A sensitivity analysis on effective parameters for sliding/melting prediction of snow cover on solar photovoltaic panels","year":2021,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Photovoltaic system; Environmental science; Solar irradiance; Irradiance; Pyranometer; Meteorology; Sensitivity (control systems); Snow; Engineering; Optics; Electronic engineering; 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":[0.000832572,0.0001157036,0.0002452704,0.0009869123,0.0004138635,0.00007639001,0.000268735,0.0001329565,8.748013e-7],"category_scores_gemma":[0.001599957,0.0001098873,0.00008329255,0.005377005,0.0003961399,0.0002266995,0.0001280132,0.0001633186,0.000002473711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009628132,"about_ca_system_score_gemma":0.0001961184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001904871,"about_ca_topic_score_gemma":0.00001471478,"domain_scores_codex":[0.9986073,0.00006323308,0.0001680612,0.0005990831,0.0002920104,0.0002702499],"domain_scores_gemma":[0.9980851,0.0006773294,0.0001415334,0.0005519043,0.0004754614,0.00006867003],"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":[0.00003325446,0.0003569984,0.01508561,0.00003687571,0.0002522771,0.00004832913,0.0007398768,0.00154189,0.7449633,0.2056526,0.0004346131,0.03085431],"study_design_scores_gemma":[0.0003307677,0.0003775862,0.005202855,0.00003499968,0.00006216427,0.00002549611,0.0001146776,0.1992919,0.7915171,0.002134478,0.000792855,0.0001150252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6643006,0.00002771565,0.3335736,0.00104744,0.0002290646,0.0004932058,0.00002447386,0.0001593117,0.0001445433],"genre_scores_gemma":[0.9953158,0.00002074198,0.004224496,0.0003266978,0.000008731778,0.00006076801,0.000002430965,0.000004191138,0.00003610348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3310152,"threshold_uncertainty_score":0.4481072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954747586977392,"score_gpt":0.2518908144124768,"score_spread":0.2323433385427029,"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."}}