{"id":"W7101380806","doi":"10.1093/eurpub/ckaf161.1930","title":"Use of artificial intelligence to improve perinatal mental health: a systematic review","year":2025,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Mental health; Systematic review; Random forest; Identification (biology); Receiver operating characteristic; MEDLINE; Homogeneous","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01077278,0.0001125753,0.0005521647,0.0001856904,0.0001295104,0.00008689524,0.0003510603,0.000008008116,0.00007426243],"category_scores_gemma":[0.0006090547,0.00008504811,0.0001164951,0.0004557796,0.00003071454,0.0002336713,0.00002506798,0.000183488,0.00006061856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003040514,"about_ca_system_score_gemma":0.0006298036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002924575,"about_ca_topic_score_gemma":0.0001052329,"domain_scores_codex":[0.995527,0.002149505,0.001359821,0.000142994,0.0004888305,0.0003318376],"domain_scores_gemma":[0.9982734,0.00006508376,0.0007951795,0.0002084455,0.0002310976,0.0004268305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00002562775,0.0002109973,0.002134811,0.1070783,0.0001669674,0.00002889447,0.001547775,0.00005910909,0.00003945034,0.001073509,0.005062944,0.8825716],"study_design_scores_gemma":[0.001311711,0.02521794,0.3216627,0.5315141,0.0003140774,0.0005790216,0.006355633,0.003621537,0.0003377184,0.002012955,0.104936,0.002136547],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2766966,0.1419632,0.1677336,0.3845451,0.01279198,0.01108184,0.001510099,0.0001081119,0.003569421],"genre_scores_gemma":[0.9876683,0.001669459,0.002283901,0.008149939,0.00009080485,4.626209e-7,0.00001629227,0.000006108279,0.0001147294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.880435,"threshold_uncertainty_score":0.3733653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234747873002008,"score_gpt":0.3093642088194725,"score_spread":0.1858894215192716,"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."}}