{"id":"W4408188318","doi":"10.2196/65632","title":"Using Natural Language Processing Methods to Build the Hypersexuality in Bipolar Reddit Corpus: Infodemiology Study of Reddit","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypersexuality; Computer science; Psychology; Sexual behavior; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00422834,0.0004568622,0.00135341,0.0009193618,0.0001878854,0.00001541242,0.001290094,0.0009679857,0.00009628728],"category_scores_gemma":[0.001831178,0.0003621369,0.0001258539,0.001961099,0.0006666966,0.0001001099,0.0008001335,0.001603021,0.00001493856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002177735,"about_ca_system_score_gemma":0.0001638568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005815631,"about_ca_topic_score_gemma":0.001582328,"domain_scores_codex":[0.9923005,0.003780498,0.001780606,0.001006631,0.0001653067,0.0009664673],"domain_scores_gemma":[0.9957028,0.001783952,0.0006260403,0.001601835,0.000196478,0.00008887736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005065769,0.00105413,0.8345952,0.00005966412,0.0001555559,0.00004608115,0.02934713,0.0002123071,0.009045727,0.01285024,0.0008231317,0.1113043],"study_design_scores_gemma":[0.003643093,0.001414377,0.8881436,0.0001008446,0.0002391874,0.0001555403,0.07791266,0.00183295,0.000518648,0.003260679,0.02190146,0.000876933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870346,0.005062507,0.001639891,0.0008927318,0.001681783,0.001804627,0.00001979486,0.0002308782,0.001633211],"genre_scores_gemma":[0.9884502,0.000007558714,0.007614966,0.002418489,0.0001095898,0.0005802581,0.0000138879,0.00003491523,0.0007701105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1104273,"threshold_uncertainty_score":0.9998831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0924709867417278,"score_gpt":0.5040048034305501,"score_spread":0.4115338166888223,"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."}}