{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006730091,0.0001524612,0.000252909,0.00009405181,0.001512175,0.000119997,0.00016941,0.00002218944,0.00003756044],"category_scores_gemma":[0.00004293733,0.00009935898,0.00003914742,0.0002287969,0.00005284441,0.0002053875,0.0002024913,0.0002799007,0.000004250174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005649602,"about_ca_system_score_gemma":0.0001368112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218294,"about_ca_topic_score_gemma":0.0002954978,"domain_scores_codex":[0.9982631,0.0001295022,0.0004292092,0.0005037512,0.0003067338,0.0003676996],"domain_scores_gemma":[0.9993354,0.00003535178,0.000192785,0.0002526032,0.00005768455,0.0001261472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.009741432,0.001147732,0.2351573,0.008619232,0.000870898,0.0001566558,0.6065074,0.003301739,0.003389653,0.04853091,0.05317429,0.02940282],"study_design_scores_gemma":[0.002244394,0.001993988,0.4192123,0.0001935079,0.00008153672,0.0003257222,0.5528939,0.0001129582,0.00003955175,0.0113106,0.01119855,0.0003929386],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9069819,0.0005299367,0.0003868282,0.0887491,0.001117888,0.001988138,0.00009808686,0.00003873148,0.0001094118],"genre_scores_gemma":[0.9883472,0.00002498846,0.00003892185,0.01087612,0.0003847315,0.000115118,0.00008400025,0.00002017278,0.0001087418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1840551,"threshold_uncertainty_score":0.9997877,"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."}}