{"id":"W4386737565","doi":"10.1371/journal.pone.0288089","title":"Mobile phones and infant health at birth","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Weatherhead Center for International Affairs, Harvard University; Social Sciences and Humanities Research Council of Canada; Jacobs Foundation; York University; New York University Abu Dhabi; Harvard University","keywords":"Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005794007,0.0001947593,0.0001887168,0.0008047627,0.0003835357,0.00113266,0.000312533,0.0005550502,0.006691872],"category_scores_gemma":[0.00514395,0.0001511454,0.0004412967,0.001152221,0.0002580645,0.0005228902,0.0009279078,0.0008658189,0.000779645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006781843,"about_ca_system_score_gemma":0.0003876319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01697629,"about_ca_topic_score_gemma":0.01757164,"domain_scores_codex":[0.9995217,0.0001694174,0.00003380291,0.00006849756,0.00008716419,0.0001192553],"domain_scores_gemma":[0.9973911,0.0008550494,0.001128794,0.00009328998,0.0002396275,0.000292154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009131068,0.00006664289,0.9753169,0.0001038364,0.00006387114,0.000213454,0.0007614853,0.00007681368,0.0001136127,0.0008000277,0.0009351506,0.02145698],"study_design_scores_gemma":[0.000002203723,0.00008501175,0.9951118,0.000204552,0.00004835101,0.0001984848,0.001010148,0.0001058365,0.00005330636,0.0002929527,0.002881872,0.000005465973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586897,0.0159094,0.0002253304,0.004144337,0.000107258,0.00002426995,0.00252266,0.00001292201,0.01836407],"genre_scores_gemma":[0.9902772,0.00615356,0.0002239506,0.0002726945,0.00005653065,0.00001597574,0.0005685741,0.000003549834,0.002428066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01697629,"threshold_uncertainty_score":0.03375494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015072729365999,"score_gpt":0.4022248327196017,"score_spread":0.3007175597830018,"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."}}