{"id":"W4388734690","doi":"10.2196/49936","title":"The Potential Influence of AI on Population Mental Health","year":2023,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Mental health; Population; Psychology; Population health; Everyday life; Medicine; Psychiatry; Political science; Communication; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007974252,0.0001921985,0.0003092914,0.001644838,0.002392232,0.003398684,0.0008510493,0.001498044,0.005051359],"category_scores_gemma":[0.02842782,0.0001755704,0.0006729307,0.001385131,0.005241422,0.002848339,0.004979805,0.002992209,0.0002570087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004043725,"about_ca_system_score_gemma":0.004296478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03917832,"about_ca_topic_score_gemma":0.03888563,"domain_scores_codex":[0.9893587,0.007076114,0.000367614,0.0007510821,0.001060851,0.001385671],"domain_scores_gemma":[0.9885401,0.00619167,0.002437354,0.0006650818,0.0009110323,0.001254745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001756633,0.000410756,0.4993664,0.000573254,0.0005292256,0.000603535,0.02961278,0.001297817,0.000651317,0.2867267,0.01703032,0.1630223],"study_design_scores_gemma":[0.0000653803,0.000377712,0.533701,0.00271582,0.0004755368,0.0009455218,0.04988012,0.004245586,0.001199057,0.3271774,0.07903535,0.0001814802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3904482,0.01093549,0.00640886,0.4848103,0.001026618,0.0001296463,0.00136203,0.00006721686,0.1048116],"genre_scores_gemma":[0.986721,0.002693594,0.0008843197,0.008523793,0.0003966785,0.00007373098,0.00008946848,0.000006976959,0.0006103551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03917832,"threshold_uncertainty_score":0.07790053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213348667144563,"score_gpt":0.4169246101557805,"score_spread":0.3955897434413242,"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."}}