{"id":"W3179360162","doi":"10.7202/1082326ar","title":"Être issu·e·s du même don : partager des « origines » en assistance médicale à la procréation avec tiers donneur (Royaume-Uni, France)","year":2021,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Political science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005770954,0.0004647149,0.0006709701,0.0002084518,0.0007930661,0.000145962,0.0002739944,0.0005007469,0.0004349],"category_scores_gemma":[0.002425721,0.0004628477,0.0002024815,0.00130583,0.001172836,0.0005844526,0.0001017566,0.0007835797,0.0002050499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219362,"about_ca_system_score_gemma":0.001042756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001537639,"about_ca_topic_score_gemma":0.0003766922,"domain_scores_codex":[0.9962641,0.0004465841,0.0007966601,0.001068338,0.000551579,0.0008727228],"domain_scores_gemma":[0.9972183,0.0006058014,0.0003050737,0.000905117,0.0006675844,0.000298124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003088268,0.002273851,0.4697514,0.004680659,0.0007280878,0.001357938,0.01780388,0.001368816,0.008635661,0.2320918,0.05711866,0.2038804],"study_design_scores_gemma":[0.001307214,0.0002666204,0.08913366,0.001245761,0.0002478616,0.0002138674,0.009449232,0.00117772,0.008003,0.009149611,0.8791767,0.0006287162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6756347,0.1607207,0.01125141,0.04777128,0.006799289,0.001770821,0.0002400366,0.0009670784,0.09484463],"genre_scores_gemma":[0.72186,0.05401836,0.01243384,0.0009673476,0.003683669,0.0005813986,0.0002971581,0.0001064049,0.2060518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8220581,"threshold_uncertainty_score":0.9997823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217500354468254,"score_gpt":0.2969276036899384,"score_spread":0.2847526001452558,"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."}}