{"id":"W4387065937","doi":"10.2196/45671","title":"The Role of Telehealth in Promoting Equitable Abortion Access in the United States: Spatial Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Minority Health and Health Disparities; National Institutes of Health","keywords":"Telehealth; Abortion; Environmental health; Business; Telemedicine; Internet privacy; Pregnancy; Medicine; Economic growth; Computer science; Health care; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001139746,0.0001632015,0.0001510402,0.002112693,0.0004912229,0.001255746,0.0003735338,0.0002592559,0.001488217],"category_scores_gemma":[0.006811982,0.0001186418,0.0005741836,0.004259145,0.000546457,0.0007501707,0.001244786,0.0003254023,0.0000823981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011997,"about_ca_system_score_gemma":0.00121804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1343271,"about_ca_topic_score_gemma":0.1165325,"domain_scores_codex":[0.9993438,0.0003078674,0.00005321204,0.00009619479,0.0001126482,0.0000861322],"domain_scores_gemma":[0.9960275,0.002016214,0.00100909,0.0002231326,0.0005377683,0.0001863468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002886122,0.00003323668,0.9817746,0.00004674067,0.0001159316,0.00008769653,0.0004562012,0.002922694,0.00005341802,0.001874068,0.0007379393,0.01186864],"study_design_scores_gemma":[0.000007761022,0.00003984852,0.9704709,0.00009038581,0.0001472997,0.0001260831,0.004668451,0.01845155,0.0001195432,0.002179363,0.003685505,0.00001325774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877532,0.001360658,0.002332003,0.001654612,0.00001565212,0.00003354781,0.001695372,0.00002494379,0.005130062],"genre_scores_gemma":[0.9987226,0.0003010602,0.0005787667,0.0000303515,0.000008587872,0.00001003949,0.0002340729,0.00000223753,0.0001122449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1343271,"threshold_uncertainty_score":0.2670904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03670513435847471,"score_gpt":0.3666296426310928,"score_spread":0.3299245082726181,"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."}}