{"id":"W4214559348","doi":"10.2196/preprints.27385","title":"Using Google Trends to Inform the Population Size Estimation and Spatial Distribution of Gay, Bisexual, and Other Men Who Have Sex With Men: Proof-of-concept Study (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Population size; Men who have sex with men; Estimation; Geography; Demography; Sexual orientation; Sociology; Medicine; Gender studies; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04345195,0.0009759041,0.0007561273,0.002407724,0.0008901712,0.002058606,0.0019683,0.00127605,0.01150524],"category_scores_gemma":[0.07825802,0.0006534184,0.002869038,0.001375456,0.001218496,0.002668267,0.002317004,0.001136746,0.002753186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711375,"about_ca_system_score_gemma":0.008324194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01477896,"about_ca_topic_score_gemma":0.009148894,"domain_scores_codex":[0.9847594,0.009606876,0.0007936455,0.00115013,0.003072985,0.0006168634],"domain_scores_gemma":[0.9358469,0.04000568,0.005210019,0.003645514,0.01414593,0.001145952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005644693,0.009420538,0.3142065,0.01750769,0.001939742,0.0006937081,0.01706022,0.007554759,0.006407399,0.01721848,0.06345603,0.5388902],"study_design_scores_gemma":[0.0103542,0.05341513,0.4480669,0.01317098,0.006890669,0.001650556,0.05312597,0.07407251,0.03756153,0.01966348,0.2808588,0.001169337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7208712,0.002178872,0.09634599,0.008101779,0.001409987,0.07539389,0.05238832,0.00148249,0.04182751],"genre_scores_gemma":[0.6781716,0.001853443,0.2344765,0.002239523,0.0003380796,0.06640012,0.009876831,0.0002540387,0.00638985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04345195,"threshold_uncertainty_score":0.2297986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07366349118210792,"score_gpt":0.3814569672133407,"score_spread":0.3077934760312328,"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."}}