{"id":"W7164929726","doi":"10.1080/17153379.2007.12554617","title":"Sex Selective Abortion in India: Gender, Society and New Reproductive Technologies.","year":2007,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Abortion; Pregnancy; Reproductive health; Population","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":[0.0005403967,0.00005537015,0.00008958771,0.0006227503,0.0007662154,0.0007830092,0.000353291,0.0003695578,0.004407091],"category_scores_gemma":[0.002151642,0.00007053467,0.0001026009,0.001144349,0.001262947,0.0007301599,0.0005624576,0.000747016,0.00020126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008527954,"about_ca_system_score_gemma":0.001078157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02887264,"about_ca_topic_score_gemma":0.08536865,"domain_scores_codex":[0.9995196,0.0002128279,0.00002101594,0.0000301993,0.00006987419,0.0001466249],"domain_scores_gemma":[0.9985968,0.0005918039,0.0003889548,0.00004488331,0.0001099823,0.0002675081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002516122,0.0001480453,0.8755991,0.000159195,0.00004764464,0.0009750798,0.02291585,0.0002070343,0.0005566142,0.01907284,0.005688358,0.07437848],"study_design_scores_gemma":[0.000005351412,0.00009926571,0.961457,0.00006425613,0.00002543868,0.0008612897,0.02377481,0.0001828095,0.0001656793,0.001650616,0.01169826,0.00001526693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723508,0.005798419,0.00008834983,0.007018914,0.00004876805,0.000007792321,0.0003823148,0.000004668458,0.01430011],"genre_scores_gemma":[0.9964619,0.002376215,0.00003734957,0.0002744505,0.00003442471,0.000002691127,0.00005412339,0.000001054858,0.0007577013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02887264,"threshold_uncertainty_score":0.05740917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110469467905747,"score_gpt":0.2874472144958433,"score_spread":0.2563425198167858,"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."}}