{"id":"W4415359933","doi":"10.59934/jaiea.v5i1.1403","title":"Genetic Algorithm Optimization for Automatic Scheduling in the System at State Junior High School Four Binjai","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Decision Support System Applications","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Scheduling (production processes); Schedule; Dynamic priority scheduling; Fair-share scheduling; Job shop scheduling; Class (philosophy); Genetic algorithm; Curriculum","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":[0.0009307567,0.0005850825,0.0007613973,0.0007965451,0.001005036,0.001014483,0.000688381,0.000902874,0.003437467],"category_scores_gemma":[0.001784941,0.0004461852,0.0005397859,0.0006272939,0.0004599386,0.0004040398,0.0004802785,0.0007561741,0.0003249946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901758,"about_ca_system_score_gemma":0.003083921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0397652,"about_ca_topic_score_gemma":0.02930156,"domain_scores_codex":[0.9996748,0.0001004749,0.00001338166,0.0000616621,0.00006322535,0.00008642276],"domain_scores_gemma":[0.9994878,0.0002662051,0.0000473446,0.00001870307,0.0001333013,0.00004663322],"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":[0.00006261244,0.00004326342,0.0006355167,0.00002103235,0.00001494944,0.00004341833,0.00003491734,0.980381,0.0007030223,0.001491343,0.0007358966,0.0158331],"study_design_scores_gemma":[0.00001240905,0.00002141711,0.000200996,0.000002337062,0.000005096018,0.000004208143,0.00001165662,0.9987854,0.0001926812,0.0004882317,0.000272791,0.000002816562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4527018,0.0004610278,0.5234756,0.001011533,0.0001973561,0.0003957617,0.0002992839,0.002112901,0.01934475],"genre_scores_gemma":[0.8699833,0.0001016747,0.124995,0.00008641106,0.00001587667,0.0001854633,0.000222062,0.0000658637,0.004344311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0397652,"threshold_uncertainty_score":0.07906753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280229787889509,"score_gpt":0.2611674980989431,"score_spread":0.238365200220048,"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."}}