{"id":"W7143815617","doi":"10.71465/ajml3081","title":"Predicting Social Trends Using Machine Learning Models","year":2025,"lang":"","type":"article","venue":"American Journal of Machine Learning","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Social media; Time series; Social learning; Support vector machine; Predictive modelling","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":[0.001998815,0.0007979829,0.0005864484,0.002991453,0.0005235825,0.001808068,0.0007522147,0.00101419,0.001554846],"category_scores_gemma":[0.008825497,0.0002807466,0.0007475395,0.002325053,0.0002967425,0.002434222,0.0004951099,0.001367571,0.0009813117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008943953,"about_ca_system_score_gemma":0.0006130049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009243893,"about_ca_topic_score_gemma":0.009459972,"domain_scores_codex":[0.9991878,0.0003518576,0.00006191607,0.0001535274,0.0001627758,0.00008202281],"domain_scores_gemma":[0.9946005,0.004079968,0.0005173321,0.0001734524,0.0005301574,0.00009865902],"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":[0.0001774642,0.0005543499,0.09721784,0.0002203365,0.0003308633,0.0003029346,0.0003244298,0.6769838,0.00127533,0.01610305,0.01189043,0.1946192],"study_design_scores_gemma":[0.000004765262,0.00001695449,0.001848344,0.00001174921,0.000009835068,0.00001178604,0.00004078059,0.9908886,0.0001251562,0.006223464,0.000813498,0.000004984531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5352573,0.003351738,0.4305979,0.007828411,0.0004978894,0.0003371203,0.00547523,0.001599681,0.01505464],"genre_scores_gemma":[0.9359519,0.001372212,0.05523677,0.0002843408,0.0004989741,0.0001844775,0.003658681,0.0000500028,0.002762671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009243893,"threshold_uncertainty_score":0.01838022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759019610662557,"score_gpt":0.3022395184861487,"score_spread":0.2746493223795232,"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."}}