{"id":"W7098977870","doi":"","title":"REPRODUCTIVE ETHICS Women’s reproductive autonomy: medicalisation and","year":2005,"lang":"en","type":"article","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autonomy; Welfare; Poverty; Reproductive technology; Personal autonomy; Reproduction; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001438587,0.00009201953,0.0001135151,0.000006914125,0.0002167199,0.00003652796,0.00008370995,0.00009739,0.0006560813],"category_scores_gemma":[0.0009125292,0.00003148727,0.00002014175,0.0001602784,0.0001405788,0.0002468907,0.00006987093,0.0001911253,0.00001919427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166317,"about_ca_system_score_gemma":0.00004416942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001416955,"about_ca_topic_score_gemma":0.0001448454,"domain_scores_codex":[0.9988354,0.0001031972,0.0001747895,0.0004919321,0.0001788806,0.0002158282],"domain_scores_gemma":[0.9994883,0.0001636751,0.00004514101,0.00007169439,0.0001405758,0.00009060132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008784403,0.000178381,0.03709831,0.00001821151,0.00003698888,0.000002500021,0.02964384,0.000004066927,0.01437362,0.01074831,0.005005253,0.9028027],"study_design_scores_gemma":[0.0001099213,0.0001280202,0.6693963,0.000004393638,0.000003883697,0.000005465289,0.008573622,0.00004586608,0.004522195,0.01948338,0.2974841,0.0002428448],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9008646,0.0000528683,0.000005142439,0.09554955,0.00005865284,0.0001762192,0.000001511954,0.00008694529,0.003204503],"genre_scores_gemma":[0.9922593,0.00003063182,0.0004267523,0.0008196275,0.0005107267,0.00003322394,0.00001161013,3.925897e-7,0.005907771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9025598,"threshold_uncertainty_score":0.718363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590545864060675,"score_gpt":0.2504367398029006,"score_spread":0.2245312811622938,"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."}}