{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009187486,0.0003550125,0.0008264874,0.0001675819,0.0002027422,0.00001521125,0.00009082587,0.0007649586,0.0007848596],"category_scores_gemma":[0.000253693,0.0002394885,0.00004894691,0.0002026285,0.0003640238,0.00006317027,0.00002537086,0.002337698,0.0001024977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039117,"about_ca_system_score_gemma":0.001175712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001839681,"about_ca_topic_score_gemma":0.0000793904,"domain_scores_codex":[0.996427,0.0001300465,0.0006425085,0.0008564112,0.001237393,0.0007066457],"domain_scores_gemma":[0.998117,0.0001082476,0.00030713,0.000583498,0.0002773466,0.0006067977],"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":[0.0008310929,0.00005953799,0.004175165,0.002711304,0.00008034542,0.0007417054,0.0003544306,1.473108e-7,0.000005223156,0.00002183528,0.939463,0.05155618],"study_design_scores_gemma":[0.001929328,0.001503738,0.03056861,0.001343938,0.0001657314,0.0008847582,0.0000582098,0.00006641912,0.000005801333,0.0000329116,0.9632282,0.0002123946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01063891,0.002228353,0.002085503,0.9799708,0.0006428866,0.001199234,0.00001908664,0.000115227,0.003099999],"genre_scores_gemma":[0.01033931,0.005707764,0.0008302216,0.9404998,0.03760988,0.00004372385,0.0008142846,0.00009746002,0.004057566],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05134379,"threshold_uncertainty_score":0.9999639,"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."}}