{"id":"W4410133679","doi":"10.1007/978-3-031-88653-9_35","title":"Leveraging Predictive Maintenance for Photovoltaic Systems","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Photovoltaic system; Predictive maintenance; Computer science; Reliability engineering; Environmental science; 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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000741893,0.0008227015,0.00154225,0.0004646574,0.0001849134,0.0002593782,0.0003682406,0.001467382,0.00001375858],"category_scores_gemma":[0.0001893039,0.0007484519,0.0002247124,0.0001595976,0.0001069571,0.00009245756,0.0001225745,0.0007254536,0.000002124296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005206911,"about_ca_system_score_gemma":0.000120407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002185553,"about_ca_topic_score_gemma":0.000341945,"domain_scores_codex":[0.996578,0.0001251373,0.001236766,0.001052723,0.0003520626,0.0006553446],"domain_scores_gemma":[0.9969685,0.001133039,0.0006834685,0.0007163283,0.0003770702,0.0001215934],"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":[0.0001550009,0.0000140069,0.0001475798,0.001534036,0.0003353384,0.00003303644,0.0002352504,0.9492346,0.00004961484,0.03779149,0.007164372,0.003305693],"study_design_scores_gemma":[0.0006843089,0.0001070173,0.000004364844,0.007742874,0.0001052986,0.00005536369,0.00002532937,0.814826,0.00004234867,0.004134039,0.1715508,0.0007222478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00000832727,0.02730095,0.8600544,0.00002319051,0.003119121,0.003871022,0.0001201978,0.0004566072,0.1050461],"genre_scores_gemma":[0.8493141,0.003747151,0.001175046,0.0004113903,0.00276427,0.002817407,0.0005630671,0.0004282153,0.1387794],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8588794,"threshold_uncertainty_score":0.9998289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388984166813356,"score_gpt":0.2285502106397614,"score_spread":0.2146603689716279,"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."}}