{"id":"W2785833492","doi":"10.21037/mhealth.2018.01.01","title":"Telemedicine and medical abortion: dispelling safety myths, with facts","year":2018,"lang":"en","type":"letter","venue":"mHealth","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Telemedicine; Medical abortion; Abortion; Health care; Medical emergency; Medicine; Nursing; Public relations; Business; Internet privacy; Political science; Computer science; Pregnancy; Law; Misoprostol","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":[0.006257691,0.0005927331,0.0009149162,0.0007446234,0.006745002,0.004920518,0.00184229,0.06766835,0.009850112],"category_scores_gemma":[0.04708219,0.0005296925,0.0008776526,0.0005591135,0.008399495,0.01316681,0.003720611,0.05665519,0.004530079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005365522,"about_ca_system_score_gemma":0.00580286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003879596,"about_ca_topic_score_gemma":0.00613332,"domain_scores_codex":[0.9938636,0.002787825,0.0004881039,0.0005171339,0.001883987,0.0004592664],"domain_scores_gemma":[0.9735764,0.02069449,0.001287736,0.000704537,0.00186046,0.001876473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004540994,0.00008057502,0.0006808105,0.0001286324,0.00001156195,0.003489558,0.001783181,0.00007264478,0.0003440293,0.02024314,0.9339794,0.03914092],"study_design_scores_gemma":[0.000042983,0.00007913003,0.0005380611,0.000733529,0.00001126219,0.003725855,0.002272566,0.0002823917,0.0001261065,0.02583193,0.9663268,0.00002921995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000228921,0.001357863,0.0000603106,0.9938002,0.002905201,0.000003083881,0.000004891612,0.000004914553,0.001634633],"genre_scores_gemma":[0.005276934,0.002071214,0.0001971819,0.9743338,0.01543718,0.00001334901,0.00000745928,0.00001058411,0.00265232],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06766835,"threshold_uncertainty_score":0.03892976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004776455842843,"score_gpt":0.3153991353733557,"score_spread":0.2953513708149272,"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."}}