{"id":"W4399700992","doi":"10.1016/j.gene.2024.148703","title":"Role of miRNAs in assisted reproductive technology","year":2024,"lang":"en","type":"review","venue":"Gene","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; microRNA; Computational biology; Genetics; Evolutionary biology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004365363,0.0002299752,0.001628322,0.0004883056,0.00001084038,0.000001406833,0.0001302273,0.0006072942,0.00002820159],"category_scores_gemma":[0.0004735242,0.0001584325,0.0002608185,0.00087228,0.0002373073,0.00001166242,0.0001133537,0.0006256517,0.0001119332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126798,"about_ca_system_score_gemma":0.0002795928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001077194,"about_ca_topic_score_gemma":0.000004543892,"domain_scores_codex":[0.9982261,0.00009728198,0.0005446157,0.0008733224,0.00007920776,0.0001794878],"domain_scores_gemma":[0.9986359,0.00002143577,0.0001648678,0.001056191,0.00009296298,0.00002865047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001208793,0.0001583767,0.0001219365,0.006821659,0.0003319422,0.00004701829,0.00003499212,9.740129e-9,0.001577716,0.00007426344,0.0001455297,0.9905657],"study_design_scores_gemma":[0.0001223199,0.000152172,0.002798062,0.004085924,0.001102358,0.0003956547,0.00002766729,1.546357e-7,0.001904082,0.001134414,0.9881386,0.0001386612],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009868186,0.9959171,9.122564e-7,0.0001750594,0.0002612525,0.0007800095,0.00002161498,0.0000560416,0.001801221],"genre_scores_gemma":[0.000802863,0.9973576,0.0003117707,0.000006057243,0.000242214,0.0001095212,0.00007001441,0.00002566563,0.001074263],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.990427,"threshold_uncertainty_score":0.6460689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05314827356078052,"score_gpt":0.3658475691748656,"score_spread":0.312699295614085,"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."}}