{"id":"W4292878271","doi":"10.1007/s10815-022-02592-z","title":"Genetic screening of Chinese patients with hydatidiform mole by whole-exome sequencing and comprehensive analysis","year":2022,"lang":"en","type":"article","venue":"Journal of Assisted Reproduction and Genetics","topic":"Gestational Trophoblastic Disease Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Exome sequencing; Biology; Genotyping; Genetics; Locus (genetics); Candidate gene; Microsatellite; Genotype; Gene; Allele; Mutation","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":[0.0001128082,0.0001048646,0.0003352187,0.0002554653,0.0001358349,0.000009895915,0.00003222784,0.00001564024,0.00001807653],"category_scores_gemma":[0.00008156191,0.00007866607,0.00006361664,0.0004811709,0.0001009496,0.00003736645,0.00005150594,0.0001393436,8.360376e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004289173,"about_ca_system_score_gemma":0.00005866395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007468564,"about_ca_topic_score_gemma":0.000001438834,"domain_scores_codex":[0.9988039,0.00004933447,0.0003863492,0.0001897807,0.0004837365,0.00008694982],"domain_scores_gemma":[0.998661,0.00003631257,0.0004600393,0.000141456,0.0006053552,0.00009584504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000586822,0.0002136301,0.9690046,0.00009979783,0.001684117,0.00001756782,0.0005381385,0.0136128,0.007866179,8.881058e-7,0.0002290938,0.006146383],"study_design_scores_gemma":[0.001590811,0.0009577544,0.9934258,0.00002345873,0.001139291,0.0001695272,0.001189015,0.0008133658,0.0001125378,0.00001869317,0.000484576,0.00007514786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957637,0.002724171,0.0008987517,0.000370705,0.00006403697,0.0001155646,0.00003934116,0.000003876725,0.00001981836],"genre_scores_gemma":[0.9905638,0.0001588675,0.009060156,0.00004606466,0.00004866549,0.000002288788,0.00002497647,0.000009839797,0.00008540626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02442124,"threshold_uncertainty_score":0.3207909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242801793518372,"score_gpt":0.2472204127183545,"score_spread":0.2347923947831708,"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."}}