{"id":"W2578068584","doi":"10.1016/j.solener.2017.01.034","title":"Comparisons among Bat algorithms with various objective functions on grouping photovoltaic power patterns","year":2017,"lang":"en","type":"article","venue":"Solar Energy","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; Cluster analysis; Computer science; Set (abstract data type); Cluster (spacecraft); Data mining; Correlation clustering; Function (biology); Algorithm; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003117319,0.0008630669,0.001514317,0.00111504,0.0009822578,0.001241505,0.001086502,0.001464558,0.003041167],"category_scores_gemma":[0.007486492,0.0002655116,0.0009083105,0.001871238,0.0004557673,0.001808954,0.0006384614,0.00072815,0.000551366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009714303,"about_ca_system_score_gemma":0.001598539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00598041,"about_ca_topic_score_gemma":0.007676478,"domain_scores_codex":[0.998711,0.0005508684,0.0001010123,0.0001761321,0.0002786885,0.0001823989],"domain_scores_gemma":[0.992442,0.005240743,0.0002280826,0.0004443245,0.001445705,0.000199169],"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":[0.001148626,0.0004159491,0.005644136,0.0003853098,0.0003674433,0.00005796867,0.000121692,0.7157959,0.00235845,0.003046167,0.003425829,0.2672325],"study_design_scores_gemma":[0.0001066274,0.0004113366,0.003281432,0.00003985587,0.0001324202,0.00008042766,0.0001794768,0.9902655,0.002672429,0.001540949,0.001271739,0.00001771565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6599753,0.006881433,0.3034315,0.0009524752,0.0006411055,0.0003050711,0.0005637785,0.002477966,0.02477127],"genre_scores_gemma":[0.8356116,0.001386779,0.1557718,0.0002858952,0.0001037525,0.000175783,0.001077421,0.000445684,0.005141177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00598041,"threshold_uncertainty_score":0.01648617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374292313617108,"score_gpt":0.2301742587327359,"score_spread":0.2164313355965649,"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."}}