{"id":"W6974121404","doi":"10.58079/qigp","title":"L’hypermédiatisation des Femen en France, au Québec et en Tunisie","year":2019,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Field (mathematics); Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007729742,0.0002141424,0.0001865142,0.001545132,0.006714514,0.00204281,0.0004342818,0.0006549088,0.0160145],"category_scores_gemma":[0.001300938,0.0001317183,0.0001435639,0.001685849,0.00412409,0.0007269484,0.001297647,0.0009531612,0.0004601258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02459791,"about_ca_system_score_gemma":0.01555356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9547565,"about_ca_topic_score_gemma":0.9712431,"domain_scores_codex":[0.9995608,0.0001200979,0.00001262917,0.00004897653,0.00008194144,0.0001755008],"domain_scores_gemma":[0.9991749,0.0001682752,0.0001100904,0.00002322427,0.0003361746,0.0001874042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003027508,0.00009367186,0.1571182,0.0005753136,0.00005286302,0.003789244,0.5777268,0.0004620353,0.004267567,0.03604504,0.05002384,0.1695425],"study_design_scores_gemma":[0.00001090592,0.00006154509,0.3430131,0.0005979531,0.00002071366,0.0007270755,0.2681437,0.0001547282,0.0007409719,0.0005534861,0.38592,0.0000557964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.881358,0.01210643,0.0005175889,0.01963423,0.0003587967,0.00004107695,0.0009771115,0.00004302447,0.08496381],"genre_scores_gemma":[0.9395264,0.003151145,0.0002622965,0.001545071,0.00006993188,0.00002693282,0.0001623246,0.0000148662,0.05524099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0452435,"threshold_uncertainty_score":0.1784712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241676446516569,"score_gpt":0.2638945026517445,"score_spread":0.2514777381865788,"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."}}