{"id":"W4404451923","doi":"10.1016/j.xagr.2024.100422","title":"Balancing screen time during pregnancy: implications for maternal and fetal health","year":2024,"lang":"en","type":"article","venue":"AJOG Global Reports","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Pregnancy; Obstetrics; Medicine; Fetus; Maternal health; Environmental health; Health services; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005649385,0.0001935931,0.0003266461,0.00006704408,0.001334406,0.00003421012,0.00008977564,0.0001585152,0.000102739],"category_scores_gemma":[0.0001245497,0.0001821556,0.00007301488,0.0002800707,0.00004318801,0.0001457712,0.0001011701,0.0002700337,0.000113202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005939431,"about_ca_system_score_gemma":0.001550961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102934,"about_ca_topic_score_gemma":0.0002645943,"domain_scores_codex":[0.9970881,0.00009046559,0.001081029,0.0006459979,0.0001617717,0.0009325933],"domain_scores_gemma":[0.9982028,0.0001791332,0.0003456121,0.0004853628,0.0001256468,0.0006614522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007921943,0.00008659186,0.541187,0.009785541,0.00008309953,0.0001114981,0.000426777,0.000007375711,0.0003965213,0.05440487,0.1013503,0.2920812],"study_design_scores_gemma":[0.0004739093,0.00009698644,0.7840706,0.002177959,0.00004077213,0.0007785794,0.00003965129,0.0002533724,0.00001256595,0.01448818,0.1973102,0.0002572365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7210324,0.06589851,0.02361259,0.08964317,0.005405648,0.04011777,0.004704828,0.004042846,0.04554227],"genre_scores_gemma":[0.9723116,0.001424044,0.003982962,0.00193933,0.0007577579,0.01504927,0.0002977372,0.00007008519,0.004167277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2918239,"threshold_uncertainty_score":0.9999657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579108549212504,"score_gpt":0.4177795786913625,"score_spread":0.3919884931992375,"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."}}