{"id":"W4387615817","doi":"10.26685/urncst.513","title":"Developing Human Reproductive Organoids to Combat Infertility: A Literature Review","year":2023,"lang":"en","type":"review","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of Waterloo","keywords":"Infertility; Organoid; Assisted reproductive technology; Population; Medicine; Biology; Bioinformatics; Neuroscience; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02488055,0.0004668452,0.002479136,0.002358718,0.001154789,0.0001791187,0.0008885474,0.0009641186,0.000006923096],"category_scores_gemma":[0.02475905,0.0002798412,0.0002304145,0.01182601,0.005632125,0.000296724,0.001488952,0.009410277,0.00005315963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006158493,"about_ca_system_score_gemma":0.002225377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082654,"about_ca_topic_score_gemma":0.00002543853,"domain_scores_codex":[0.9928598,0.001051162,0.00175155,0.002081077,0.001045816,0.001210553],"domain_scores_gemma":[0.9949626,0.0008081144,0.000359233,0.0009513136,0.002332532,0.0005862022],"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":[0.0001350113,0.000171922,0.002660125,0.01096496,0.000190019,0.0006975749,0.00002267158,2.953593e-9,0.00003001088,0.002723717,0.001395484,0.9810085],"study_design_scores_gemma":[0.001215799,0.002432665,0.01862437,0.2225479,0.0004541218,0.008301703,0.0001561149,0.000003039675,0.00002426434,0.156011,0.5893038,0.0009252471],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003588914,0.9212851,0.000002244647,0.07289068,0.0003836208,0.001675204,0.000004834412,0.00007765378,0.00009174544],"genre_scores_gemma":[0.003247693,0.9950746,0.000284109,0.0003624968,0.0003688396,0.00006119372,0.00001224339,0.00002526388,0.0005635968],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9800832,"threshold_uncertainty_score":0.9999654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2274081102907724,"score_gpt":0.5342314628291827,"score_spread":0.3068233525384103,"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."}}