{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006660661,0.000390949,0.0003624432,0.001261373,0.00546225,0.003879796,0.0008122551,0.0007909554,0.001823707],"category_scores_gemma":[0.009891673,0.000464811,0.0002969978,0.0007405588,0.006263524,0.003064885,0.002953196,0.001152389,0.0001129178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00391962,"about_ca_system_score_gemma":0.003935579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03167454,"about_ca_topic_score_gemma":0.05342883,"domain_scores_codex":[0.9970053,0.002004315,0.00009390878,0.0001859814,0.0003002208,0.0004103469],"domain_scores_gemma":[0.9924216,0.005896952,0.0006884002,0.000125166,0.0003719125,0.0004959037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001783388,0.00001194908,0.009233863,0.00003652403,0.000002144367,0.0005887003,0.9857738,0.000006665152,0.0003678268,0.0005010198,0.00009013622,0.003369568],"study_design_scores_gemma":[0.000002762534,0.00003541618,0.007556302,0.00008356211,0.000005036206,0.0003908502,0.9875506,0.00004266641,0.0002108583,0.0001939229,0.003920799,0.000007264887],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934652,0.0005333768,0.001016164,0.0009923629,0.00002340051,0.00003716629,0.00004601696,0.00000657284,0.003879698],"genre_scores_gemma":[0.9981313,0.0004055293,0.0004152374,0.0001738086,0.000006092821,0.00003076439,0.00001601333,0.00000537665,0.0008159237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03167454,"threshold_uncertainty_score":0.06298035,"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."}}