{"id":"W4415401054","doi":"10.59934/jaiea.v5i1.1696","title":"Analysis of Football Supporters' Sentiment on Social Media on PSSI's Performance using the K-Nearest Neighbor Method","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Football; Social media; Weighting; Sentiment analysis; Recall; Public opinion; Indonesian","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":[0.001455851,0.0005381926,0.0005161714,0.002643646,0.0004702543,0.0009046144,0.0003262451,0.0004250426,0.001382168],"category_scores_gemma":[0.005316379,0.0001161652,0.0005696532,0.00168232,0.0002372237,0.0007914184,0.0004123468,0.0003190195,0.001207356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000522678,"about_ca_system_score_gemma":0.0003191373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005864916,"about_ca_topic_score_gemma":0.006796676,"domain_scores_codex":[0.9986532,0.00028097,0.0002017954,0.0002603827,0.0004970692,0.0001065797],"domain_scores_gemma":[0.9974075,0.000894071,0.0004752808,0.0001273163,0.00102355,0.00007233864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007561643,0.0003692187,0.628249,0.0007492059,0.0004207354,0.0005998673,0.002860189,0.01633608,0.01655125,0.001014938,0.006821587,0.3252717],"study_design_scores_gemma":[0.00002349222,0.000453633,0.5031924,0.0001811457,0.0002134273,0.0006478631,0.005040441,0.4697039,0.01260348,0.001139415,0.006677385,0.0001233776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594662,0.0004993117,0.02840799,0.0002332598,0.0001259882,0.0002565701,0.002104214,0.0003158754,0.008590527],"genre_scores_gemma":[0.9860269,0.000202317,0.01085359,0.00001924597,0.00003214749,0.00008100954,0.001037699,0.00001281773,0.001734325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005864916,"threshold_uncertainty_score":0.01166159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0562373738265508,"score_gpt":0.3354736900276702,"score_spread":0.2792363162011194,"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."}}