{"id":"W2774534908","doi":"10.1080/09688080.2017.1392220","title":"“Without this program, women can lose their lives”: migrant women’s experiences with the Safe Abortion Referral Programme in Chiang Mai, Thailand","year":2017,"lang":"en","type":"article","venue":"Reproductive Health Matters","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; University of Ottawa","funders":"Ontario Ministry of Health and Long-Term Care; Society of Family Planning","keywords":"Referral; Abortion; Nursing; Reproductive health; Medicine; Unsafe abortion; Family medicine; Population; Family planning; Environmental health; 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":[],"consensus_categories":[],"category_scores_codex":[0.00126613,0.0003202856,0.0005966711,0.00009928767,0.0006869851,0.0001232701,0.0003150181,0.00005818314,0.0001179287],"category_scores_gemma":[0.00005697482,0.0001717705,0.00005172829,0.0001656041,0.000460808,0.0001852055,0.00008011938,0.0004544945,0.00001784334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000965123,"about_ca_system_score_gemma":0.0004389612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006201694,"about_ca_topic_score_gemma":0.001287919,"domain_scores_codex":[0.9968296,0.0001884416,0.0004340565,0.0008510941,0.0004275291,0.001269309],"domain_scores_gemma":[0.9977655,0.00001561232,0.0004919304,0.001165296,0.0001037871,0.0004578071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002946762,0.0008395267,0.4372878,0.0009631569,0.0001141321,0.00007898018,0.5089344,0.000002023473,0.0000697399,0.00005135001,0.003378306,0.04533384],"study_design_scores_gemma":[0.00206605,0.002978375,0.812855,0.0005858563,0.00001214781,0.0002104319,0.1481112,0.00001007778,0.00009898392,0.000115055,0.03265868,0.0002981742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8462692,0.0002373552,0.00000126469,0.1503917,0.0002238146,0.002383766,0.00001346666,0.00008860665,0.0003907087],"genre_scores_gemma":[0.9854926,0.00008591587,0.0002008484,0.0105288,0.0003920858,0.002469658,0.00001138347,0.00003530876,0.0007834438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3755672,"threshold_uncertainty_score":0.9375148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621342114229244,"score_gpt":0.3146545838816063,"score_spread":0.2884411627393139,"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."}}