{"id":"W4394472818","doi":"10.6084/m9.figshare.19898588","title":"Can Prenatal and Postnatal Cell Phone Exposure Increase Adverse Maternal, Infant and Child Outcomes?","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phone; Prenatal exposure; Medicine; Obstetrics; Pediatrics; Pregnancy; Biology; Gestation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003461176,0.0004854896,0.001916914,0.003809343,0.0002790925,0.001454293,0.0007143272,0.001436039,0.005683541],"category_scores_gemma":[0.02472806,0.0004162558,0.002777856,0.006036437,0.0004259467,0.001465964,0.0007715453,0.000824965,0.0003545114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004794388,"about_ca_system_score_gemma":0.001332715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004183986,"about_ca_topic_score_gemma":0.005136669,"domain_scores_codex":[0.9963736,0.0009939363,0.001234013,0.0005348011,0.0006749406,0.000188806],"domain_scores_gemma":[0.9724863,0.01671807,0.008788207,0.0003320674,0.001201743,0.0004736574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002768019,0.0001940785,0.7472007,0.1482861,0.02052799,0.001177849,0.000472168,0.0002023453,0.0004069157,0.0005115052,0.001754426,0.07649796],"study_design_scores_gemma":[0.0002672538,0.0009349793,0.9188377,0.038707,0.02978113,0.001897478,0.0007999899,0.000270879,0.0002670969,0.0006600355,0.007526596,0.00004968371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"dataset","genre_scores_codex":[0.1652374,0.8203589,0.0006412101,0.002010491,0.0003647668,0.0002802793,0.008406232,0.0000196723,0.002680924],"genre_scores_gemma":[0.725759,0.2667265,0.00158999,0.001284298,0.000843633,0.0006973869,0.00261945,0.00001236936,0.0004674167],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005683541,"threshold_uncertainty_score":0.01901335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212092792501476,"score_gpt":0.2427944283109617,"score_spread":0.2306735003859469,"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."}}