{"id":"W3200599159","doi":"10.1016/j.fertnstert.2021.07.809","title":"USING HIGH RESOLUTION PROFILING OF THE HUMAN EMBRYONIC MITOCHONDRIAL GENOME TO DISCOVER BIOMARKER(S) FOR IMPLANTATION AND EMBRYONIC DEVELOPMENT","year":2021,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CReATe Fertility Centre","funders":"","keywords":"Heteroplasmy; Mitochondrial DNA; Embryonic stem cell; Biology; Embryo; Embryogenesis; Mitochondrion; Genetics; Andrology; Human fertilization; Cell biology; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002025647,0.0001976373,0.0001954332,0.0003879829,0.0001519322,0.0004488424,0.0001425306,0.0004043863,0.0005188712],"category_scores_gemma":[0.0004718766,0.0001230064,0.0001882986,0.0004146842,0.0001320208,0.0001968777,0.000228784,0.0003743898,0.0002818314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001292362,"about_ca_system_score_gemma":0.0001366101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007898325,"about_ca_topic_score_gemma":0.001975091,"domain_scores_codex":[0.9998991,0.00001849033,0.000004463024,0.00003385236,0.00002841283,0.0000157523],"domain_scores_gemma":[0.9998317,0.00005068417,0.00005478645,0.00001501388,0.00003002929,0.00001774427],"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":[0.0001331072,0.00001526687,0.006440369,0.00006562366,0.00003913045,0.00005057123,0.00003262357,0.0002862532,0.9860934,0.0001350065,0.00007814638,0.006630439],"study_design_scores_gemma":[0.00003242596,0.0005051835,0.148092,0.00003282431,0.0001945187,0.001263939,0.0001817473,0.01081897,0.8322442,0.0009253958,0.005673544,0.00003517819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534979,0.004878597,0.03687463,0.0003501481,0.00003789675,0.00004917265,0.002209619,0.0001403874,0.001961659],"genre_scores_gemma":[0.975509,0.001522608,0.01968489,0.000208746,0.00001326413,0.0000243132,0.001629739,0.00002113222,0.001386291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007898325,"threshold_uncertainty_score":0.001735747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06832177909780533,"score_gpt":0.3259428177621263,"score_spread":0.257621038664321,"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."}}