{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007063822,0.0003181603,0.0003101702,0.001299824,0.009840898,0.004271257,0.0007981483,0.001683885,0.009555039],"category_scores_gemma":[0.01221129,0.0003427624,0.0003244646,0.001482056,0.005243053,0.002678613,0.004272788,0.001718736,0.001093968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01290991,"about_ca_system_score_gemma":0.01596953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3509483,"about_ca_topic_score_gemma":0.4132275,"domain_scores_codex":[0.9941503,0.003536761,0.0001805839,0.0005860529,0.0007339263,0.0008122375],"domain_scores_gemma":[0.9926209,0.003326278,0.001252992,0.0002622227,0.001551881,0.0009856567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009196595,0.00003055365,0.0756653,0.0003349547,0.00002756396,0.002363209,0.8176948,0.00008767489,0.001031194,0.02516124,0.02400318,0.05350836],"study_design_scores_gemma":[0.000007175659,0.00009497374,0.09422497,0.0008897156,0.00002764537,0.001699614,0.5409079,0.0001083659,0.000497006,0.001521067,0.3599631,0.00005855583],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.853088,0.01427076,0.003583939,0.06180042,0.0006550587,0.0001900483,0.0007077093,0.00008188362,0.06562218],"genre_scores_gemma":[0.9361132,0.005256525,0.002441105,0.007463914,0.0001417258,0.0001654549,0.00023101,0.00005341116,0.04813373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3509483,"threshold_uncertainty_score":0.6978112,"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."}}