{"id":"W7125578467","doi":"10.61132/merkurius.v3i4.930","title":"Analisis Sentimen Masyarakat terhadap Program Makan Siang Gratis di Indonesia Tahun 2024 Menggunakan Long Short-Term Memory (LSTM)","year":2025,"lang":"","type":"article","venue":"Merkurius Jurnal Riset Sistem Informasi dan Teknik Informatika","topic":"Linguistics and Language Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Sentiment analysis; Recall; Precision and recall; Social media; Free recall; Content analysis","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":[0.0004901345,0.0007880882,0.000394481,0.001071563,0.0004580971,0.001135652,0.0002782609,0.0004476644,0.006484364],"category_scores_gemma":[0.00193822,0.0001386934,0.0005317719,0.001278201,0.0002420154,0.0009552066,0.0004951518,0.0006746667,0.002207186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003786038,"about_ca_system_score_gemma":0.0003496167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004332195,"about_ca_topic_score_gemma":0.005433137,"domain_scores_codex":[0.999679,0.0000397407,0.00003570255,0.00008833567,0.00009935143,0.00005780512],"domain_scores_gemma":[0.999395,0.000282936,0.00006257692,0.00003737537,0.0001914962,0.00003067098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001857833,0.0004197218,0.1633214,0.001201289,0.0004721587,0.001952818,0.003997125,0.008512419,0.04614515,0.002276614,0.03794096,0.7319025],"study_design_scores_gemma":[0.00005187367,0.0008389862,0.6761521,0.0003671352,0.0007050598,0.002283159,0.01261416,0.2183214,0.0319545,0.003898241,0.05262396,0.000189413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538555,0.001595164,0.01701907,0.0008614197,0.0006682474,0.00009829409,0.004838114,0.0008361796,0.02022805],"genre_scores_gemma":[0.9821441,0.0007567265,0.005864935,0.00009451781,0.0001035378,0.00007647617,0.003526565,0.00008080883,0.007352286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006484364,"threshold_uncertainty_score":0.02169234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167630282972982,"score_gpt":0.2622793095564907,"score_spread":0.2506030067267609,"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."}}