{"id":"W3127495034","doi":"10.1051/e3sconf/202123900006","title":"Solar Power Generation System for the Canadian Space Agency STRATOS Program","year":2021,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"solar cell performance optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"Canadian Space Agency","keywords":"Photovoltaic system; Maximum power point tracking; Photovoltaics; Modular design; Solar power; Electricity generation; Automotive engineering; Engineering; Electrical engineering; Bespoke; Power (physics); Computer science; Aerospace engineering; Voltage; Operating system; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000225247,0.0004563796,0.0002222169,0.0006141347,0.001524918,0.0006849386,0.0005821871,0.000231356,0.02937409],"category_scores_gemma":[0.0003470553,0.0001079035,0.0001479437,0.0011203,0.0002253246,0.0002610293,0.0004087778,0.0004966907,0.0042537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007986106,"about_ca_system_score_gemma":0.01976149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7460055,"about_ca_topic_score_gemma":0.8795085,"domain_scores_codex":[0.9996675,0.00001533089,0.000002969609,0.00002984889,0.0002422371,0.00004210384],"domain_scores_gemma":[0.9997274,0.000006966755,0.000005654077,0.00001156479,0.0002201504,0.00002833414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003663361,0.0001044643,0.006665337,0.0001946422,0.00005097419,0.0001429424,0.0002340452,0.01180473,0.02041238,0.02230264,0.6031163,0.3346053],"study_design_scores_gemma":[0.0001179244,0.0001012772,0.01527178,0.00004001354,0.00003411873,0.000107956,0.0001696921,0.02285112,0.009903556,0.002050599,0.9493122,0.00003999854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07415771,0.002532797,0.03584958,0.005403408,0.0007423791,0.0006375195,0.02902561,0.006282897,0.845368],"genre_scores_gemma":[0.5258182,0.003185403,0.02360535,0.0008723927,0.000171112,0.0002580404,0.03220902,0.0008109503,0.4130695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2539945,"threshold_uncertainty_score":0.5109805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102261790750196,"score_gpt":0.2260416931055152,"score_spread":0.2050190751980133,"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."}}