{"id":"W2934755948","doi":"10.1016/j.rbmo.2019.04.001","title":"Determinants of gestational surrogates’ satisfaction in relation to the characteristics of surrogacy cases","year":2019,"lang":"en","type":"article","venue":"Reproductive BioMedicine Online","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre; CReATe Fertility Centre","funders":"","keywords":"Context (archaeology); Pregnancy; Demography; Medicine; Family medicine; Egg donation; Assisted reproductive technology; Agency (philosophy); Gynecology; Psychology; Infertility; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007738552,0.0001415094,0.0005176474,0.0004595942,0.00002408324,0.000001640337,0.00007946657,0.00008273334,0.00003168691],"category_scores_gemma":[0.003502391,0.00009557076,0.00004686431,0.0009177441,0.0001904161,0.00008821757,0.00004751796,0.0002009811,0.0000132303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003045,"about_ca_system_score_gemma":0.0001769712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005248652,"about_ca_topic_score_gemma":0.00009368181,"domain_scores_codex":[0.9981718,0.00006285929,0.0007129246,0.0004897729,0.000369588,0.0001930472],"domain_scores_gemma":[0.9980499,0.0002157152,0.0004027424,0.0007250005,0.0005520102,0.00005459929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006310215,0.0002393125,0.9395755,0.0002899116,0.00001801,0.000010055,0.000303044,0.000005829843,0.02444181,0.0001078836,0.00005251843,0.03432511],"study_design_scores_gemma":[0.0008190103,0.001182533,0.9863075,0.0003253779,0.0000333138,0.000106323,0.0006310078,0.00005877203,0.009719537,0.00009003657,0.0006523843,0.0000742245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926099,0.0002639436,0.00001798794,0.005366235,0.0004171048,0.001150894,0.00009278444,0.00003095673,0.00005017013],"genre_scores_gemma":[0.9981359,0.0001393238,0.001084881,0.00005742789,0.0002812367,0.0000164474,0.0001115036,0.00001570178,0.0001575634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04673199,"threshold_uncertainty_score":0.4192942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240464109369898,"score_gpt":0.3447108409616716,"score_spread":0.3123061998679726,"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."}}