{"id":"W6884721831","doi":"10.1177/20552076211048638\">10.1177/20552076211048638</a></p","title":"\"Let Me Know When I'm Needed\": Exploring the Gendered Nature of Digital Technology Use for Health Information Seeking During the Transition to Parenting","year":2021,"lang":"en","type":"article","venue":"Scholar Commons (University of South Carolina)","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital health; mHealth; Thematic analysis; Work (physics); Focus group; Qualitative research; Misinformation","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001472817,0.0001227824,0.0002901708,0.0002790025,0.002782194,0.00005154303,0.0003921956,0.0002031164,0.00002657658],"category_scores_gemma":[0.0008314696,0.0001056041,0.0001270372,0.0006894099,0.00007766217,0.003856954,0.000266639,0.001266595,0.00001160288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776504,"about_ca_system_score_gemma":0.000431925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009659275,"about_ca_topic_score_gemma":0.0001675228,"domain_scores_codex":[0.9982356,0.0003283257,0.0006308337,0.000155088,0.0002626287,0.0003874704],"domain_scores_gemma":[0.9976014,0.0002864146,0.0006672803,0.0005213834,0.0007944509,0.0001290304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007940019,0.0001012962,0.1833948,0.004497695,0.0001640204,0.000002272389,0.7796315,0.0006300561,0.0003226844,0.004533348,0.001653994,0.02427433],"study_design_scores_gemma":[0.002283198,0.0001065796,0.1702486,0.0009988734,0.00005709527,0.000007350276,0.7042795,0.003314173,0.0002043296,0.0006141865,0.1175974,0.0002887182],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654534,0.00007679899,0.01581781,0.01663805,0.0002461941,0.0009489545,0.0005630614,0.0000734851,0.0001822254],"genre_scores_gemma":[0.9960403,0.00002005777,0.002557526,0.001129388,0.00003868067,0.00001079369,0.0001361987,0.000008060371,0.00005899819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1159434,"threshold_uncertainty_score":0.998516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04702543799539623,"score_gpt":0.3179182131113455,"score_spread":0.2708927751159493,"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."}}