{"id":"W2804904320","doi":"10.2196/mental.9152","title":"Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data","year":2018,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depression (economics); Diurnal temperature variation; Medicine; Geography; Meteorology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008574905,0.0001265553,0.0003627994,0.0003199961,0.0002195704,0.00001533964,0.0001405449,0.00004069436,0.000138992],"category_scores_gemma":[0.00003569463,0.0001146323,0.00002528553,0.0005955221,0.00004947442,0.0005347849,0.000193085,0.0001704785,0.0000162875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003992379,"about_ca_system_score_gemma":0.0006599767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00703161,"about_ca_topic_score_gemma":0.002522127,"domain_scores_codex":[0.9980577,0.0002266371,0.0008430746,0.0002383702,0.0003404599,0.0002937547],"domain_scores_gemma":[0.9984875,0.00003270831,0.0004858841,0.0006729454,0.00005672225,0.000264196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004740351,0.002437975,0.8785152,0.0003896192,0.00008179747,0.0001142837,0.01844762,0.00001734465,0.00005146899,0.00001452224,0.007666346,0.09178977],"study_design_scores_gemma":[0.007005602,0.001276713,0.9402897,0.0005121602,0.00001950174,0.0009912456,0.004898625,0.04276855,0.000005409535,0.000006664335,0.002073642,0.0001521734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959136,0.0001397692,0.0002242413,0.0006648535,0.0002133508,0.001111356,0.001398264,0.00003944099,0.0002951105],"genre_scores_gemma":[0.9966002,0.00001434819,0.001012563,0.0003978654,0.0000576634,0.00001250833,0.001858719,0.0000121521,0.00003399476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09163759,"threshold_uncertainty_score":0.9995807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05755140852857341,"score_gpt":0.4225511808634291,"score_spread":0.3649997723348557,"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."}}