{"id":"W2969758504","doi":"10.2196/12942","title":"Public Opinions on Using Social Media Content to Identify Users With Depression and Target Mental Health Care Advertising: Mixed Methods Survey","year":2019,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Mental Health via Writing","field":"Psychology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Mental health; Psychology; Social media; Content (measure theory); Depression (economics); Content analysis; Advertising; Psychiatry; Applied psychology; Computer science; Sociology; Business; World Wide Web; Social science","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":[0.002431586,0.0004607234,0.0008452442,0.0003595112,0.001279917,0.0000922818,0.0002826031,0.0001848348,0.0002606454],"category_scores_gemma":[0.00003576603,0.0004313254,0.00008452048,0.0004918377,0.000107156,0.0002589238,0.0002472173,0.0005351195,0.00008995559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278669,"about_ca_system_score_gemma":0.0005161412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004995127,"about_ca_topic_score_gemma":0.002878814,"domain_scores_codex":[0.9927517,0.002957385,0.000987335,0.001111108,0.0007257085,0.001466819],"domain_scores_gemma":[0.9973439,0.0003551447,0.000573658,0.0004485601,0.00009067826,0.001188042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004449902,0.001531373,0.6108007,0.001835988,0.0002285064,0.00001374054,0.1723346,0.000004378595,0.00139649,0.001415239,0.03345346,0.1725356],"study_design_scores_gemma":[0.004895558,0.001641316,0.9275752,0.0007781803,0.000005090939,0.00006959119,0.06007614,0.00005824679,0.0001898151,0.00001043414,0.004171712,0.0005287664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834061,0.001317297,0.000241851,0.005725764,0.003585828,0.004117507,0.001062801,0.0001326972,0.0004102058],"genre_scores_gemma":[0.9810975,0.00002152673,0.01077249,0.005856196,0.0001838512,0.0001591826,0.001693658,0.0001174438,0.00009812594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3167744,"threshold_uncertainty_score":0.9998139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1792059224318997,"score_gpt":0.503462107062237,"score_spread":0.3242561846303373,"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."}}