{"id":"W4285158753","doi":"10.1080/26410397.2022.2067104","title":"Safe abortion within the Venezuelan complex humanitarian emergency: understanding context as key to identifying the potential for digital self-care tools in expanding access","year":2022,"lang":"en","type":"article","venue":"Sexual and Reproductive Health Matters","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Grand Challenges Canada","keywords":"Key (lock); Abortion; Context (archaeology); Computer security; Medical emergency; Internet privacy; Business; Political science; Medicine; Computer science; Geography; Biology; Pregnancy","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":[0.001813258,0.0001325251,0.0001157422,0.0004777928,0.004195981,0.004549706,0.0004717492,0.0007246438,0.007431309],"category_scores_gemma":[0.00574911,0.0001309107,0.0001025762,0.0004633971,0.004616165,0.002601284,0.003732043,0.002189896,0.0001096172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004430003,"about_ca_system_score_gemma":0.006356109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03393377,"about_ca_topic_score_gemma":0.1048915,"domain_scores_codex":[0.9986172,0.0009423263,0.00002631034,0.00005927996,0.00008738772,0.0002674975],"domain_scores_gemma":[0.9974732,0.001518345,0.0004355993,0.00009173129,0.0001143615,0.0003667421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002948789,0.0003103031,0.09403506,0.001206533,0.00004228963,0.003240826,0.4580858,0.0006089152,0.00294705,0.1631879,0.0127734,0.263267],"study_design_scores_gemma":[0.00003743445,0.000130607,0.09320162,0.002813831,0.00004128249,0.001518067,0.6767737,0.0007129952,0.0007012273,0.0312073,0.19281,0.00005199157],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.707323,0.01098564,0.003300329,0.106286,0.0003825017,0.00009942559,0.000165782,0.00003394581,0.1714235],"genre_scores_gemma":[0.9944447,0.001955829,0.0006312827,0.0009596909,0.00004719029,0.00002262754,0.00001616668,0.000005159476,0.001917324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03393377,"threshold_uncertainty_score":0.06747246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1104429746385184,"score_gpt":0.3822279413709246,"score_spread":0.2717849667324063,"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."}}