{"id":"W3126678455","doi":"10.2196/25807","title":"Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Mental Health via Writing","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center for Tobacco Products; Fogarty International Center; Hamilton Health Sciences Foundation; U.S. Department of Health and Human Services","keywords":"Social media; Metadata; Computer science; Outreach; Demographics; World Wide Web; Internet privacy; Artificial intelligence; Information retrieval","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008269447,0.001314125,0.001090454,0.00229916,0.0007167711,0.00110888,0.001788738,0.001473231,0.002004739],"category_scores_gemma":[0.01219645,0.0004034163,0.00155623,0.0009612066,0.000559736,0.001005461,0.001216887,0.002396551,0.001259962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187918,"about_ca_system_score_gemma":0.001544057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01902392,"about_ca_topic_score_gemma":0.01060262,"domain_scores_codex":[0.9985195,0.0005235775,0.0001750568,0.0004131828,0.0001644456,0.0002041976],"domain_scores_gemma":[0.9908779,0.005351161,0.0006010267,0.0007614481,0.001991963,0.0004164886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001452558,0.002491151,0.7036524,0.0002197533,0.0003401561,0.0002255259,0.0007327967,0.1054568,0.002377123,0.0006673043,0.01085703,0.1715275],"study_design_scores_gemma":[0.00004597993,0.0002645818,0.03985484,0.00005896186,0.0000637835,0.00006445896,0.0003310646,0.9559838,0.001792822,0.0006114801,0.0009036844,0.00002450542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536332,0.0004499661,0.03818201,0.0006357059,0.0001864808,0.0007654298,0.003949455,0.0007557472,0.001442102],"genre_scores_gemma":[0.9355097,0.0001582417,0.05320261,0.000174038,0.0000726325,0.0007120451,0.00836025,0.00003348219,0.00177698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01902392,"threshold_uncertainty_score":0.04373354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202490922485997,"score_gpt":0.3779806570156053,"score_spread":0.2577315647670055,"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."}}