{"id":"W4300023158","doi":"","title":"In vitro models for deciphering early embryo-maternal interactions","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Embryo; Computer science; In vitro; Cell biology; Biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001052831,0.0009463045,0.00088712,0.0009178831,0.0006301315,0.00160362,0.001335131,0.001515617,0.005863137],"category_scores_gemma":[0.001064724,0.0004158141,0.000999295,0.0004233172,0.0006212327,0.0009640837,0.0008351623,0.002132932,0.002765113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009010114,"about_ca_system_score_gemma":0.0004942373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105767,"about_ca_topic_score_gemma":0.002897427,"domain_scores_codex":[0.9993026,0.0002296215,0.00007420564,0.0001137402,0.0002081728,0.00007167108],"domain_scores_gemma":[0.9983141,0.0009462976,0.0001996507,0.0002302801,0.0001719869,0.0001375844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001512739,0.0000804621,0.0004730202,0.0003661277,0.00002398626,0.0003818483,0.000136605,0.0006166305,0.9884605,0.004011902,0.0005555902,0.004741888],"study_design_scores_gemma":[0.00004791309,0.0006986453,0.00452758,0.0001845129,0.000215231,0.001281519,0.0003244373,0.002937621,0.9418437,0.00319139,0.04470802,0.00003934862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4300359,0.07550416,0.3917273,0.004501021,0.004017198,0.001356589,0.01441382,0.00112956,0.0773145],"genre_scores_gemma":[0.7814692,0.05164812,0.1052623,0.001089192,0.0007423512,0.001488836,0.009568073,0.0004664787,0.04826545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005863137,"threshold_uncertainty_score":0.0196141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691693579754191,"score_gpt":0.2822083878696219,"score_spread":0.25529145207208,"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."}}