{"id":"W7067086642","doi":"","title":"L'avenir des embryons surnuméraires : un sort \"privé\"?","year":2002,"lang":"fr","type":"other","venue":"Open MIND","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"sort; Identification (biology); Range (aeronautics); Selection (genetic algorithm)","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":[0.004842709,0.0006241819,0.0008372903,0.003192727,0.004315534,0.01091302,0.002065046,0.003652325,0.06287943],"category_scores_gemma":[0.01611085,0.0003955369,0.0004967215,0.004219293,0.01037741,0.00682191,0.003197446,0.003663225,0.006783918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01650477,"about_ca_system_score_gemma":0.02254849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3081474,"about_ca_topic_score_gemma":0.4267899,"domain_scores_codex":[0.9965405,0.0008585092,0.0001010803,0.0004021166,0.001627003,0.0004707633],"domain_scores_gemma":[0.9914916,0.003747183,0.0005967894,0.000997883,0.001885679,0.001280866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007495788,0.00002222025,0.000687358,0.0005202247,0.00001356417,0.0002006361,0.001839561,0.0001472653,0.00033508,0.2566839,0.4161667,0.3233086],"study_design_scores_gemma":[0.00000611038,0.000005461984,0.0005346745,0.0002186889,0.000004554832,0.0001326393,0.0003053036,0.0000256855,0.0001421292,0.007291047,0.9913253,0.000008542606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002424554,0.3558652,0.004184618,0.2339427,0.009033221,0.00003110078,0.0007448472,0.0003275001,0.3934463],"genre_scores_gemma":[0.06271335,0.3424501,0.004804019,0.02892298,0.01291127,0.00009005157,0.0004998384,0.0004794602,0.5471289],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3081474,"threshold_uncertainty_score":0.6127076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0760128650060926,"score_gpt":0.3404338144286462,"score_spread":0.2644209494225536,"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."}}