{"id":"W4412086169","doi":"10.1016/j.contraception.2025.111013","title":"An opportunity for guidance on reproductive health tracking technologies in a post-Roe United States","year":2025,"lang":"en","type":"article","venue":"Contraception","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Reproductive health; Tracking (education); Window of opportunity; Gynecology; Environmental health; Population; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006758647,0.0005822689,0.0005574657,0.001130407,0.01341465,0.00757766,0.001992908,0.0346002,0.03565865],"category_scores_gemma":[0.01413057,0.0006903207,0.001337828,0.0004891062,0.003418288,0.006944571,0.010365,0.02037269,0.005199029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004149261,"about_ca_system_score_gemma":0.04714893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0444731,"about_ca_topic_score_gemma":0.1999433,"domain_scores_codex":[0.9926282,0.00243601,0.0004535894,0.0004616263,0.001516855,0.002503837],"domain_scores_gemma":[0.9862932,0.003636519,0.0007372351,0.0004018783,0.002200701,0.006730567],"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":[0.00006401207,0.0008211235,0.007817586,0.0001576735,0.0000118379,0.005422008,0.004472189,0.0002614903,0.001684746,0.01502741,0.8899275,0.07433236],"study_design_scores_gemma":[0.00006410089,0.0002710536,0.007481405,0.0006379378,0.00001317145,0.001749852,0.01743241,0.0003807739,0.0004121333,0.007669162,0.9637675,0.0001205155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007375952,0.001544379,0.001625801,0.9373914,0.007307637,0.0002070485,0.0001903933,0.0003023524,0.04405497],"genre_scores_gemma":[0.06676342,0.003976154,0.01857303,0.7603732,0.003242987,0.0005928119,0.0003560583,0.000280932,0.1458415],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0444731,"threshold_uncertainty_score":0.1192901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07780510174814081,"score_gpt":0.4746427990208837,"score_spread":0.3968376972727429,"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."}}