{"id":"W4250934341","doi":"10.4324/9781003138877-4","title":"Accounting for the money-made parenthood of transnational surrogacy","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accounting; Business; Economics","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":[0.0001619899,0.0001561218,0.0003595205,0.00007520997,0.0000575195,0.000005245452,0.0001230127,0.0001915366,0.0002139487],"category_scores_gemma":[0.0002738013,0.00009563165,0.0001830986,0.00002852352,0.0001129642,0.00002834907,0.00002584175,0.0002859058,0.000006074255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002452255,"about_ca_system_score_gemma":0.0001797866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004102572,"about_ca_topic_score_gemma":0.000002954422,"domain_scores_codex":[0.9989806,0.000002400797,0.000335563,0.0002938796,0.0002571495,0.0001303792],"domain_scores_gemma":[0.9990003,0.0002601636,0.0001699025,0.0002982438,0.0002333869,0.00003807832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001329323,0.00001959671,0.0001882681,0.0005325311,0.0001660116,0.000001790552,0.00004042611,8.441618e-7,0.000168563,0.9790782,0.00278398,0.0168868],"study_design_scores_gemma":[0.001547839,0.0005283504,0.002854496,0.0001574656,0.0005455345,0.00002389912,0.0002526079,0.0001401735,0.00420557,0.1071819,0.8822906,0.0002715507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005983519,0.005932705,0.007380809,0.2390388,0.0006591455,0.005089218,0.0002698951,0.0005228343,0.7405083],"genre_scores_gemma":[0.8167899,0.0006829388,0.005771426,0.001508488,0.0009638529,0.0001707654,0.000240898,0.0001056143,0.1737661],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8795066,"threshold_uncertainty_score":0.3899746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0621299100217879,"score_gpt":0.3086231869728076,"score_spread":0.2464932769510197,"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."}}