{"id":"W2132327273","doi":"10.1093/humrep/det357","title":"Ranking and selection of MII oocytes in human ICSI cycles using gene expression levels from associated cumulus cells","year":2013,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Victoria University of Wellington; New Zealand Government; University of Victoria; Tertiary Education Commission; Merck","keywords":"Andrology; Selection (genetic algorithm); Biology; Ranking (information retrieval); Gene expression; Gene; Oocyte; Genetics; Medicine; Embryo; Computer science; Information retrieval; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001055988,0.000211613,0.0004861856,0.0006329574,0.0002041488,0.0005495813,0.0002057977,0.0001997518,0.001326549],"category_scores_gemma":[0.002215685,0.0001109301,0.000212679,0.0003939508,0.0002014105,0.0002127348,0.0001788123,0.0001833954,0.0005852423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000277623,"about_ca_system_score_gemma":0.0002681472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005153497,"about_ca_topic_score_gemma":0.0008046052,"domain_scores_codex":[0.9996142,0.00009070827,0.00003630884,0.00008210266,0.0001375483,0.00003908211],"domain_scores_gemma":[0.9994982,0.0001924921,0.0001397048,0.00003115592,0.00007945184,0.00005884662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002071034,0.0001244335,0.7419941,0.0002867015,0.000147397,0.0004177832,0.0005171174,0.0008947736,0.1664899,0.0002610113,0.001196436,0.08559933],"study_design_scores_gemma":[0.00006885476,0.001624731,0.9208894,0.00005471679,0.0001896952,0.001747196,0.0005844564,0.004517613,0.06732371,0.0003188323,0.002640929,0.00003991241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919437,0.001816676,0.004462884,0.0001255559,0.00002361417,0.0001225294,0.0004603748,0.00004645715,0.0009981373],"genre_scores_gemma":[0.9942909,0.0004229594,0.004174539,0.00005947682,0.00001917583,0.00006443568,0.0004192199,0.00001786699,0.0005312407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001326549,"threshold_uncertainty_score":0.005584657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06128929695109347,"score_gpt":0.3145445253358722,"score_spread":0.2532552283847788,"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."}}